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南京信息工程大学海洋科学学院导师教师师资介绍简介-Muhammad Bila...
本站小编 Free考研考试/2021-03-28
其他栏目
个人简介
姓名: Muhammad Bilal
性别: 男
职称: 教授
出生年月: January 1, 1985
最高学历: 博士
毕业院校: TheHongKongPolytechnicUniversity,HongKong
研究方向: AerosolRemoteSensing
邮箱: muhammad.bilal@connect.polyu.hk
教育背景:
Ph.D.: Department of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, HongKong (JUL2010–JUL2013)
MS: Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Pakistan (SEP2008–APR2010)
BSc (Hons): Department of Space Science, University of the Punjab (PU), Lahore–Pakistan (JAN2004–FEB2008)
工作经历:
Professor: School of Marine Science, Nanjing University of Information Science and Technology (Oct2017–Present)
Postdoctoral Fellow: Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong (MAR2014–SEP2017)
Research Assistant: Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SEP2013–JAN2014).
Research Associate (part-time): Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (AUG2013).
Administrator: Linux Server for Weather Research & Forecasting Model (WRF–ARW) (JUN2012–MAY2017).
Site Manager: PolyU Aerosol Robotic Network (AERONET) (JUN2014–MAY2017).
Site Operator: PolyU Aerosol Robotic Network (AERONET) (JAN2011–DEC2012).
Site Operator: PolyU Aerosol Lidar (JAN2011–DEC2012).
学术兼职:
Serving as a reviewer for:
1. Remote Sensing of Environment
2. Journal of Geophysical Research: Atmosphere
3. Atmospheric Measurements Technique
4. Remote Sensing
5. Aerosol and Air Quality Research
6. Journal of Atmospheric and Solar-Terrestrial Physics
7. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
8. IEEE Transactions on Geoscience and Remote Sensing
9. Arabian Journal of Geosciences
10. Remote Sensing Applications: Society and Environment
11. Atmospheric Pollution Research
12. European Journal of Remote Sensing
13. Journal of King Saud University - Science
14. Atmosphere
15. Photogrammetric Engineering and Remote Sensing
16. Dynamics of Atmospheres and Oceans
17. Science of the Total Environment
18. Atmospheric Environment
19. ISPRS Journal of Photogrammetry and Remote Sensing
荣誉获奖:
Hong Kong Ph.D. Fellowship 2010/2011: Only I was selected among 300 candidates from Pakistan for this prestigious Fellow (JUL2010–JUL2013).
Received Excellent Poster Award: "Advance training course on Ocean Remote Sensing" held at Chinese University of Hong Kong, 21-26 OCT 2013.
MS Merit Scholarship: COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan (SEP2008–MAR2010).
BS Merit Scholarships: Department of Space Science, University of the Punjab, Lahore, Pakistan (2005–2007).
近期主要论著:
(First author)
1. Bilal, M, Nazeer, M., Qiu, Z., Ding, X., and Wei, J. (2018). Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
2. Bilal, M, Qiu, Z., Campbell, J.R., Scott, S., Shen, J., and Nazeer, M (2018). A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product at 3 km Spatial Resolution. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
3. Bilal, M.*, Nichol, J.E., and Wang. L. (2017). New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product. Remote Sensing of Environment, DOI: 10.1016/j.rse.2017.05.028. (IF ~ 6.265)
4. Bilal, M.*, and Nichol, J.E. (2017). Evaluation of the NDVI–based pixel selection criteria of the MODIS C6 Dark Target and Deep Blue combined aerosol product. IEEE JSTARS, DOI: 10.1109/JSTARS.2017.**. (IF ~ 2.913)
5. Bilal, M.,* Nazeer, M., and Nichol, J.E. (2017). Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters. Atmospheric Research, 186, 43-50. (IF ~ 3.788)
6. Bilal, M., Nichol, J.E. and Scott, N.S. (2017). A New Approach for Estimation of Fine Particulate Concentrations Using Satellite Aerosol Optical Depth and Binning of Meteorological Variables. Aerosol and Air Quality Research, 17, 356–367. (IF ~ 2.606)
7. Bilal, M.,* Nichol, J.E. and Nazeer, M. (2016). Validation of Aqua–MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan, IEEE JSTARS, 9(5), 2074-2080. (IF ~ 2.913)
8. Bilal, M., and Nichol, J.E. (2015). Evaluation of MODIS aerosol retrieval algorithms over the Beijing–Tianjin–Hebei region during low to very high pollution events, Journal of Geophysical Research-Atmosphere, 120, 7941–7957. (IF ~ 3.303)
9. Bilal, M., Nichol, J.E., and Chan, P.W. (2014). Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms, Remote Sensing of Environment, 153, 50–60. (IF ~ 6.265)
10. Bilal, M., Nichol, J.E., Bleiweiss, M.P., Dubois, D.W. (2013).A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces, Remote Sensing of Environment, 136, 135–145. (IF ~ 6.265)
(Co-author)
11. Shen, X., Bilal, M., Qiu, Z., Sun, D., Want, S., and Zhu, W. (2018). Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
12. Nazeer, M. and Bilal, M.* (2018). Evaluation of Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) for water quality monitoring: a case study for the estimation of Salinity. Journal of Ocean University China. (IF ~ 0.606)
13. HC Ho, MS Wong, L Yang, TC Chan, and M Bilal. (2018). Influences of socioeconomic vulnerability and intra-urban air pollution exposure on short-term mortality during extreme dust events. Environmental Pollution, 235, 155-162, doi: 10.1016/j.envpol.2017.12.047. (IF ~ 4.839)
14. HC Ho, MS Wong, L Yang, W Shi, J Yang, M Bilal, and TC Chan. (2018). Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days. Environmental International, 112, 10-22, doi: 10.1016/j.envint.2017.12.001. (IF ~ 7.088)
15. L He, L Wang, A Lin, M Zhang, M Bilal, and J Wei. (2018). Performance of the NPP-VIIRS and Aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
16. J Wei, B Huang, M Bilal, Z Zhang, and L Wang. (2017). Verification, improvement and application of aerosol optical depths in China part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS. Atmospheric Environment, doi: 10.1016/j.atmosenv.2017.11.048. (IF ~ 3.629)
17. M Nazeer, A Waqas, M Bilal, MI Shahzad, MMM Alsahli. (2017). Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters. ISPRS International Journal of Geo-Information, 6(11), 360, doi:10.3390/ijgi**. (IF ~ 1.502)
18. L He, L Wang, A Lin, M Zhang, M Bilal, M Tao. (2017). Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015. Remote Sensing, 9 (7), 746. (IF ~ 3.244)
19. J Wei, B Huang, L Sun, Z Zhang, L Wang, M Bilal. (2017). A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces. Journal of Geophysical Research: Atmospheres, doi: 10.1002/2017JD026922. (IF ~ 3.303)
20. Wang, L., Kisi., O., Hu, B., Bilal, M., Kermani., M.Z., and Li, Hu. (2017). Evaporation modeling using different machine learning techniques. International Journal of Climatology, DOI: 10.1002/joc.5064. (IF ~ 3.609)
21. Nichol, J.E. and Bilal, M. (2016). Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia, Remote Sensing, 8(4), 328, doi: 10.3390/rs**. (IF ~ 3.244)
22. Gong, J., Hu, Y., Liu, M., Bu, R., Chang, Y., Bilal, M., Li, C., Wu, W., Ren, B. (2016). Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China. Polish J. Environ. Stud. (IF ~ 0.793)
23. Bin, Z., Qiang, P., Bilal, M., Qihao, W., Liang, Z., and Nichol, J. (2016). High–resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression, IEEE Geoscience and Remote Sensing Letters, 13(4), 495–499. (IF ~ 2.761)
24. Sun, L., Wei, J., Bilal. M., Tian, X. Jia, C., Guo, Y., and Mi, X. (2015). Aerosol Optical Depth Retrieval over Bright Areas using Landsat 8 OLI Images, Remote Sensing, 8(1), 23. (IF ~ 3.244)
25. Butt, M.J., and Bilal, M. (2011). Application of snowmelt runoff model for water resource management, Hydrological Processes, 25, 3735–3747. (IF ~ 3.014)
手机版
欢迎您访问我们的网站,您是第 位访客
其他栏目
个人简介
姓名: Muhammad Bilal
性别: 男
职称: 教授
出生年月: January 1, 1985
最高学历: 博士
毕业院校: TheHongKongPolytechnicUniversity,HongKong
研究方向: AerosolRemoteSensing
邮箱: muhammad.bilal@connect.polyu.hk
教育背景:
Ph.D.: Department of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, HongKong (JUL2010–JUL2013)
MS: Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Pakistan (SEP2008–APR2010)
BSc (Hons): Department of Space Science, University of the Punjab (PU), Lahore–Pakistan (JAN2004–FEB2008)
工作经历:
Professor: School of Marine Science, Nanjing University of Information Science and Technology (Oct2017–Present)
Postdoctoral Fellow: Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong (MAR2014–SEP2017)
Research Assistant: Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SEP2013–JAN2014).
Research Associate (part-time): Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (AUG2013).
Administrator: Linux Server for Weather Research & Forecasting Model (WRF–ARW) (JUN2012–MAY2017).
Site Manager: PolyU Aerosol Robotic Network (AERONET) (JUN2014–MAY2017).
Site Operator: PolyU Aerosol Robotic Network (AERONET) (JAN2011–DEC2012).
Site Operator: PolyU Aerosol Lidar (JAN2011–DEC2012).
学术兼职:
Serving as a reviewer for:
1. Remote Sensing of Environment
2. Journal of Geophysical Research: Atmosphere
3. Atmospheric Measurements Technique
4. Remote Sensing
5. Aerosol and Air Quality Research
6. Journal of Atmospheric and Solar-Terrestrial Physics
7. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
8. IEEE Transactions on Geoscience and Remote Sensing
9. Arabian Journal of Geosciences
10. Remote Sensing Applications: Society and Environment
11. Atmospheric Pollution Research
12. European Journal of Remote Sensing
13. Journal of King Saud University - Science
14. Atmosphere
15. Photogrammetric Engineering and Remote Sensing
16. Dynamics of Atmospheres and Oceans
17. Science of the Total Environment
18. Atmospheric Environment
19. ISPRS Journal of Photogrammetry and Remote Sensing
荣誉获奖:
Hong Kong Ph.D. Fellowship 2010/2011: Only I was selected among 300 candidates from Pakistan for this prestigious Fellow (JUL2010–JUL2013).
Received Excellent Poster Award: "Advance training course on Ocean Remote Sensing" held at Chinese University of Hong Kong, 21-26 OCT 2013.
MS Merit Scholarship: COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan (SEP2008–MAR2010).
BS Merit Scholarships: Department of Space Science, University of the Punjab, Lahore, Pakistan (2005–2007).
近期主要论著:
(First author)
1. Bilal, M, Nazeer, M., Qiu, Z., Ding, X., and Wei, J. (2018). Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
2. Bilal, M, Qiu, Z., Campbell, J.R., Scott, S., Shen, J., and Nazeer, M (2018). A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product at 3 km Spatial Resolution. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
3. Bilal, M.*, Nichol, J.E., and Wang. L. (2017). New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product. Remote Sensing of Environment, DOI: 10.1016/j.rse.2017.05.028. (IF ~ 6.265)
4. Bilal, M.*, and Nichol, J.E. (2017). Evaluation of the NDVI–based pixel selection criteria of the MODIS C6 Dark Target and Deep Blue combined aerosol product. IEEE JSTARS, DOI: 10.1109/JSTARS.2017.**. (IF ~ 2.913)
5. Bilal, M.,* Nazeer, M., and Nichol, J.E. (2017). Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters. Atmospheric Research, 186, 43-50. (IF ~ 3.788)
6. Bilal, M., Nichol, J.E. and Scott, N.S. (2017). A New Approach for Estimation of Fine Particulate Concentrations Using Satellite Aerosol Optical Depth and Binning of Meteorological Variables. Aerosol and Air Quality Research, 17, 356–367. (IF ~ 2.606)
7. Bilal, M.,* Nichol, J.E. and Nazeer, M. (2016). Validation of Aqua–MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan, IEEE JSTARS, 9(5), 2074-2080. (IF ~ 2.913)
8. Bilal, M., and Nichol, J.E. (2015). Evaluation of MODIS aerosol retrieval algorithms over the Beijing–Tianjin–Hebei region during low to very high pollution events, Journal of Geophysical Research-Atmosphere, 120, 7941–7957. (IF ~ 3.303)
9. Bilal, M., Nichol, J.E., and Chan, P.W. (2014). Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms, Remote Sensing of Environment, 153, 50–60. (IF ~ 6.265)
10. Bilal, M., Nichol, J.E., Bleiweiss, M.P., Dubois, D.W. (2013).A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces, Remote Sensing of Environment, 136, 135–145. (IF ~ 6.265)
(Co-author)
11. Shen, X., Bilal, M., Qiu, Z., Sun, D., Want, S., and Zhu, W. (2018). Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
12. Nazeer, M. and Bilal, M.* (2018). Evaluation of Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) for water quality monitoring: a case study for the estimation of Salinity. Journal of Ocean University China. (IF ~ 0.606)
13. HC Ho, MS Wong, L Yang, TC Chan, and M Bilal. (2018). Influences of socioeconomic vulnerability and intra-urban air pollution exposure on short-term mortality during extreme dust events. Environmental Pollution, 235, 155-162, doi: 10.1016/j.envpol.2017.12.047. (IF ~ 4.839)
14. HC Ho, MS Wong, L Yang, W Shi, J Yang, M Bilal, and TC Chan. (2018). Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days. Environmental International, 112, 10-22, doi: 10.1016/j.envint.2017.12.001. (IF ~ 7.088)
15. L He, L Wang, A Lin, M Zhang, M Bilal, and J Wei. (2018). Performance of the NPP-VIIRS and Aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
16. J Wei, B Huang, M Bilal, Z Zhang, and L Wang. (2017). Verification, improvement and application of aerosol optical depths in China part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS. Atmospheric Environment, doi: 10.1016/j.atmosenv.2017.11.048. (IF ~ 3.629)
17. M Nazeer, A Waqas, M Bilal, MI Shahzad, MMM Alsahli. (2017). Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters. ISPRS International Journal of Geo-Information, 6(11), 360, doi:10.3390/ijgi**. (IF ~ 1.502)
18. L He, L Wang, A Lin, M Zhang, M Bilal, M Tao. (2017). Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015. Remote Sensing, 9 (7), 746. (IF ~ 3.244)
19. J Wei, B Huang, L Sun, Z Zhang, L Wang, M Bilal. (2017). A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces. Journal of Geophysical Research: Atmospheres, doi: 10.1002/2017JD026922. (IF ~ 3.303)
20. Wang, L., Kisi., O., Hu, B., Bilal, M., Kermani., M.Z., and Li, Hu. (2017). Evaporation modeling using different machine learning techniques. International Journal of Climatology, DOI: 10.1002/joc.5064. (IF ~ 3.609)
21. Nichol, J.E. and Bilal, M. (2016). Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia, Remote Sensing, 8(4), 328, doi: 10.3390/rs**. (IF ~ 3.244)
22. Gong, J., Hu, Y., Liu, M., Bu, R., Chang, Y., Bilal, M., Li, C., Wu, W., Ren, B. (2016). Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China. Polish J. Environ. Stud. (IF ~ 0.793)
23. Bin, Z., Qiang, P., Bilal, M., Qihao, W., Liang, Z., and Nichol, J. (2016). High–resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression, IEEE Geoscience and Remote Sensing Letters, 13(4), 495–499. (IF ~ 2.761)
24. Sun, L., Wei, J., Bilal. M., Tian, X. Jia, C., Guo, Y., and Mi, X. (2015). Aerosol Optical Depth Retrieval over Bright Areas using Landsat 8 OLI Images, Remote Sensing, 8(1), 23. (IF ~ 3.244)
25. Butt, M.J., and Bilal, M. (2011). Application of snowmelt runoff model for water resource management, Hydrological Processes, 25, 3735–3747. (IF ~ 3.014)
手机版
欢迎您访问我们的网站,您是第 位访客
其他栏目
基本信息
教师姓名:Muhammad Bilal
职称:教授
所在单位:海洋科学学院
个人简介
姓名: Muhammad Bilal
性别: 男
职称: 教授
出生年月: January 1, 1985
最高学历: 博士
毕业院校: TheHongKongPolytechnicUniversity,HongKong
研究方向: AerosolRemoteSensing
邮箱: muhammad.bilal@connect.polyu.hk
教育背景:
Ph.D.: Department of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, HongKong (JUL2010–JUL2013)
MS: Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Pakistan (SEP2008–APR2010)
BSc (Hons): Department of Space Science, University of the Punjab (PU), Lahore–Pakistan (JAN2004–FEB2008)
工作经历:
Professor: School of Marine Science, Nanjing University of Information Science and Technology (Oct2017–Present)
Postdoctoral Fellow: Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong (MAR2014–SEP2017)
Research Assistant: Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SEP2013–JAN2014).
Research Associate (part-time): Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (AUG2013).
Administrator: Linux Server for Weather Research & Forecasting Model (WRF–ARW) (JUN2012–MAY2017).
Site Manager: PolyU Aerosol Robotic Network (AERONET) (JUN2014–MAY2017).
Site Operator: PolyU Aerosol Robotic Network (AERONET) (JAN2011–DEC2012).
Site Operator: PolyU Aerosol Lidar (JAN2011–DEC2012).
学术兼职:
Serving as a reviewer for:
1. Remote Sensing of Environment
2. Journal of Geophysical Research: Atmosphere
3. Atmospheric Measurements Technique
4. Remote Sensing
5. Aerosol and Air Quality Research
6. Journal of Atmospheric and Solar-Terrestrial Physics
7. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
8. IEEE Transactions on Geoscience and Remote Sensing
9. Arabian Journal of Geosciences
10. Remote Sensing Applications: Society and Environment
11. Atmospheric Pollution Research
12. European Journal of Remote Sensing
13. Journal of King Saud University - Science
14. Atmosphere
15. Photogrammetric Engineering and Remote Sensing
16. Dynamics of Atmospheres and Oceans
17. Science of the Total Environment
18. Atmospheric Environment
19. ISPRS Journal of Photogrammetry and Remote Sensing
荣誉获奖:
Hong Kong Ph.D. Fellowship 2010/2011: Only I was selected among 300 candidates from Pakistan for this prestigious Fellow (JUL2010–JUL2013).
Received Excellent Poster Award: "Advance training course on Ocean Remote Sensing" held at Chinese University of Hong Kong, 21-26 OCT 2013.
MS Merit Scholarship: COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan (SEP2008–MAR2010).
BS Merit Scholarships: Department of Space Science, University of the Punjab, Lahore, Pakistan (2005–2007).
近期主要论著:
(First author)
1. Bilal, M, Nazeer, M., Qiu, Z., Ding, X., and Wei, J. (2018). Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
2. Bilal, M, Qiu, Z., Campbell, J.R., Scott, S., Shen, J., and Nazeer, M (2018). A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product at 3 km Spatial Resolution. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
3. Bilal, M.*, Nichol, J.E., and Wang. L. (2017). New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product. Remote Sensing of Environment, DOI: 10.1016/j.rse.2017.05.028. (IF ~ 6.265)
4. Bilal, M.*, and Nichol, J.E. (2017). Evaluation of the NDVI–based pixel selection criteria of the MODIS C6 Dark Target and Deep Blue combined aerosol product. IEEE JSTARS, DOI: 10.1109/JSTARS.2017.**. (IF ~ 2.913)
5. Bilal, M.,* Nazeer, M., and Nichol, J.E. (2017). Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters. Atmospheric Research, 186, 43-50. (IF ~ 3.788)
6. Bilal, M., Nichol, J.E. and Scott, N.S. (2017). A New Approach for Estimation of Fine Particulate Concentrations Using Satellite Aerosol Optical Depth and Binning of Meteorological Variables. Aerosol and Air Quality Research, 17, 356–367. (IF ~ 2.606)
7. Bilal, M.,* Nichol, J.E. and Nazeer, M. (2016). Validation of Aqua–MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan, IEEE JSTARS, 9(5), 2074-2080. (IF ~ 2.913)
8. Bilal, M., and Nichol, J.E. (2015). Evaluation of MODIS aerosol retrieval algorithms over the Beijing–Tianjin–Hebei region during low to very high pollution events, Journal of Geophysical Research-Atmosphere, 120, 7941–7957. (IF ~ 3.303)
9. Bilal, M., Nichol, J.E., and Chan, P.W. (2014). Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms, Remote Sensing of Environment, 153, 50–60. (IF ~ 6.265)
10. Bilal, M., Nichol, J.E., Bleiweiss, M.P., Dubois, D.W. (2013).A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces, Remote Sensing of Environment, 136, 135–145. (IF ~ 6.265)
(Co-author)
11. Shen, X., Bilal, M., Qiu, Z., Sun, D., Want, S., and Zhu, W. (2018). Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
12. Nazeer, M. and Bilal, M.* (2018). Evaluation of Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) for water quality monitoring: a case study for the estimation of Salinity. Journal of Ocean University China. (IF ~ 0.606)
13. HC Ho, MS Wong, L Yang, TC Chan, and M Bilal. (2018). Influences of socioeconomic vulnerability and intra-urban air pollution exposure on short-term mortality during extreme dust events. Environmental Pollution, 235, 155-162, doi: 10.1016/j.envpol.2017.12.047. (IF ~ 4.839)
14. HC Ho, MS Wong, L Yang, W Shi, J Yang, M Bilal, and TC Chan. (2018). Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days. Environmental International, 112, 10-22, doi: 10.1016/j.envint.2017.12.001. (IF ~ 7.088)
15. L He, L Wang, A Lin, M Zhang, M Bilal, and J Wei. (2018). Performance of the NPP-VIIRS and Aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
16. J Wei, B Huang, M Bilal, Z Zhang, and L Wang. (2017). Verification, improvement and application of aerosol optical depths in China part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS. Atmospheric Environment, doi: 10.1016/j.atmosenv.2017.11.048. (IF ~ 3.629)
17. M Nazeer, A Waqas, M Bilal, MI Shahzad, MMM Alsahli. (2017). Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters. ISPRS International Journal of Geo-Information, 6(11), 360, doi:10.3390/ijgi**. (IF ~ 1.502)
18. L He, L Wang, A Lin, M Zhang, M Bilal, M Tao. (2017). Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015. Remote Sensing, 9 (7), 746. (IF ~ 3.244)
19. J Wei, B Huang, L Sun, Z Zhang, L Wang, M Bilal. (2017). A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces. Journal of Geophysical Research: Atmospheres, doi: 10.1002/2017JD026922. (IF ~ 3.303)
20. Wang, L., Kisi., O., Hu, B., Bilal, M., Kermani., M.Z., and Li, Hu. (2017). Evaporation modeling using different machine learning techniques. International Journal of Climatology, DOI: 10.1002/joc.5064. (IF ~ 3.609)
21. Nichol, J.E. and Bilal, M. (2016). Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia, Remote Sensing, 8(4), 328, doi: 10.3390/rs**. (IF ~ 3.244)
22. Gong, J., Hu, Y., Liu, M., Bu, R., Chang, Y., Bilal, M., Li, C., Wu, W., Ren, B. (2016). Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China. Polish J. Environ. Stud. (IF ~ 0.793)
23. Bin, Z., Qiang, P., Bilal, M., Qihao, W., Liang, Z., and Nichol, J. (2016). High–resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression, IEEE Geoscience and Remote Sensing Letters, 13(4), 495–499. (IF ~ 2.761)
24. Sun, L., Wei, J., Bilal. M., Tian, X. Jia, C., Guo, Y., and Mi, X. (2015). Aerosol Optical Depth Retrieval over Bright Areas using Landsat 8 OLI Images, Remote Sensing, 8(1), 23. (IF ~ 3.244)
25. Butt, M.J., and Bilal, M. (2011). Application of snowmelt runoff model for water resource management, Hydrological Processes, 25, 3735–3747. (IF ~ 3.014)
科学研究
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基本信息
教师姓名:Muhammad Bilal
职称:教授
所在单位:海洋科学学院
个人简介
姓名: Muhammad Bilal
性别: 男
职称: 教授
出生年月: January 1, 1985
最高学历: 博士
毕业院校: TheHongKongPolytechnicUniversity,HongKong
研究方向: AerosolRemoteSensing
邮箱: muhammad.bilal@connect.polyu.hk
教育背景:
Ph.D.: Department of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, HongKong (JUL2010–JUL2013)
MS: Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Pakistan (SEP2008–APR2010)
BSc (Hons): Department of Space Science, University of the Punjab (PU), Lahore–Pakistan (JAN2004–FEB2008)
工作经历:
Professor: School of Marine Science, Nanjing University of Information Science and Technology (Oct2017–Present)
Postdoctoral Fellow: Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong (MAR2014–SEP2017)
Research Assistant: Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SEP2013–JAN2014).
Research Associate (part-time): Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (AUG2013).
Administrator: Linux Server for Weather Research & Forecasting Model (WRF–ARW) (JUN2012–MAY2017).
Site Manager: PolyU Aerosol Robotic Network (AERONET) (JUN2014–MAY2017).
Site Operator: PolyU Aerosol Robotic Network (AERONET) (JAN2011–DEC2012).
Site Operator: PolyU Aerosol Lidar (JAN2011–DEC2012).
学术兼职:
Serving as a reviewer for:
1. Remote Sensing of Environment
2. Journal of Geophysical Research: Atmosphere
3. Atmospheric Measurements Technique
4. Remote Sensing
5. Aerosol and Air Quality Research
6. Journal of Atmospheric and Solar-Terrestrial Physics
7. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
8. IEEE Transactions on Geoscience and Remote Sensing
9. Arabian Journal of Geosciences
10. Remote Sensing Applications: Society and Environment
11. Atmospheric Pollution Research
12. European Journal of Remote Sensing
13. Journal of King Saud University - Science
14. Atmosphere
15. Photogrammetric Engineering and Remote Sensing
16. Dynamics of Atmospheres and Oceans
17. Science of the Total Environment
18. Atmospheric Environment
19. ISPRS Journal of Photogrammetry and Remote Sensing
荣誉获奖:
Hong Kong Ph.D. Fellowship 2010/2011: Only I was selected among 300 candidates from Pakistan for this prestigious Fellow (JUL2010–JUL2013).
Received Excellent Poster Award: "Advance training course on Ocean Remote Sensing" held at Chinese University of Hong Kong, 21-26 OCT 2013.
MS Merit Scholarship: COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan (SEP2008–MAR2010).
BS Merit Scholarships: Department of Space Science, University of the Punjab, Lahore, Pakistan (2005–2007).
近期主要论著:
(First author)
1. Bilal, M, Nazeer, M., Qiu, Z., Ding, X., and Wei, J. (2018). Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
2. Bilal, M, Qiu, Z., Campbell, J.R., Scott, S., Shen, J., and Nazeer, M (2018). A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product at 3 km Spatial Resolution. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
3. Bilal, M.*, Nichol, J.E., and Wang. L. (2017). New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product. Remote Sensing of Environment, DOI: 10.1016/j.rse.2017.05.028. (IF ~ 6.265)
4. Bilal, M.*, and Nichol, J.E. (2017). Evaluation of the NDVI–based pixel selection criteria of the MODIS C6 Dark Target and Deep Blue combined aerosol product. IEEE JSTARS, DOI: 10.1109/JSTARS.2017.**. (IF ~ 2.913)
5. Bilal, M.,* Nazeer, M., and Nichol, J.E. (2017). Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters. Atmospheric Research, 186, 43-50. (IF ~ 3.788)
6. Bilal, M., Nichol, J.E. and Scott, N.S. (2017). A New Approach for Estimation of Fine Particulate Concentrations Using Satellite Aerosol Optical Depth and Binning of Meteorological Variables. Aerosol and Air Quality Research, 17, 356–367. (IF ~ 2.606)
7. Bilal, M.,* Nichol, J.E. and Nazeer, M. (2016). Validation of Aqua–MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan, IEEE JSTARS, 9(5), 2074-2080. (IF ~ 2.913)
8. Bilal, M., and Nichol, J.E. (2015). Evaluation of MODIS aerosol retrieval algorithms over the Beijing–Tianjin–Hebei region during low to very high pollution events, Journal of Geophysical Research-Atmosphere, 120, 7941–7957. (IF ~ 3.303)
9. Bilal, M., Nichol, J.E., and Chan, P.W. (2014). Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms, Remote Sensing of Environment, 153, 50–60. (IF ~ 6.265)
10. Bilal, M., Nichol, J.E., Bleiweiss, M.P., Dubois, D.W. (2013).A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces, Remote Sensing of Environment, 136, 135–145. (IF ~ 6.265)
(Co-author)
11. Shen, X., Bilal, M., Qiu, Z., Sun, D., Want, S., and Zhu, W. (2018). Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
12. Nazeer, M. and Bilal, M.* (2018). Evaluation of Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) for water quality monitoring: a case study for the estimation of Salinity. Journal of Ocean University China. (IF ~ 0.606)
13. HC Ho, MS Wong, L Yang, TC Chan, and M Bilal. (2018). Influences of socioeconomic vulnerability and intra-urban air pollution exposure on short-term mortality during extreme dust events. Environmental Pollution, 235, 155-162, doi: 10.1016/j.envpol.2017.12.047. (IF ~ 4.839)
14. HC Ho, MS Wong, L Yang, W Shi, J Yang, M Bilal, and TC Chan. (2018). Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days. Environmental International, 112, 10-22, doi: 10.1016/j.envint.2017.12.001. (IF ~ 7.088)
15. L He, L Wang, A Lin, M Zhang, M Bilal, and J Wei. (2018). Performance of the NPP-VIIRS and Aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
16. J Wei, B Huang, M Bilal, Z Zhang, and L Wang. (2017). Verification, improvement and application of aerosol optical depths in China part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS. Atmospheric Environment, doi: 10.1016/j.atmosenv.2017.11.048. (IF ~ 3.629)
17. M Nazeer, A Waqas, M Bilal, MI Shahzad, MMM Alsahli. (2017). Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters. ISPRS International Journal of Geo-Information, 6(11), 360, doi:10.3390/ijgi**. (IF ~ 1.502)
18. L He, L Wang, A Lin, M Zhang, M Bilal, M Tao. (2017). Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015. Remote Sensing, 9 (7), 746. (IF ~ 3.244)
19. J Wei, B Huang, L Sun, Z Zhang, L Wang, M Bilal. (2017). A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces. Journal of Geophysical Research: Atmospheres, doi: 10.1002/2017JD026922. (IF ~ 3.303)
20. Wang, L., Kisi., O., Hu, B., Bilal, M., Kermani., M.Z., and Li, Hu. (2017). Evaporation modeling using different machine learning techniques. International Journal of Climatology, DOI: 10.1002/joc.5064. (IF ~ 3.609)
21. Nichol, J.E. and Bilal, M. (2016). Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia, Remote Sensing, 8(4), 328, doi: 10.3390/rs**. (IF ~ 3.244)
22. Gong, J., Hu, Y., Liu, M., Bu, R., Chang, Y., Bilal, M., Li, C., Wu, W., Ren, B. (2016). Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China. Polish J. Environ. Stud. (IF ~ 0.793)
23. Bin, Z., Qiang, P., Bilal, M., Qihao, W., Liang, Z., and Nichol, J. (2016). High–resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression, IEEE Geoscience and Remote Sensing Letters, 13(4), 495–499. (IF ~ 2.761)
24. Sun, L., Wei, J., Bilal. M., Tian, X. Jia, C., Guo, Y., and Mi, X. (2015). Aerosol Optical Depth Retrieval over Bright Areas using Landsat 8 OLI Images, Remote Sensing, 8(1), 23. (IF ~ 3.244)
25. Butt, M.J., and Bilal, M. (2011). Application of snowmelt runoff model for water resource management, Hydrological Processes, 25, 3735–3747. (IF ~ 3.014)
研究领域
当前位置 : 中文主页 >> 科学研究 >> 研究领域
手机版
欢迎您访问我们的网站,您是第 位访客
其他栏目
基本信息
教师姓名:Muhammad Bilal
职称:教授
所在单位:海洋科学学院
个人简介
姓名: Muhammad Bilal
性别: 男
职称: 教授
出生年月: January 1, 1985
最高学历: 博士
毕业院校: TheHongKongPolytechnicUniversity,HongKong
研究方向: AerosolRemoteSensing
邮箱: muhammad.bilal@connect.polyu.hk
教育背景:
Ph.D.: Department of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, HongKong (JUL2010–JUL2013)
MS: Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Pakistan (SEP2008–APR2010)
BSc (Hons): Department of Space Science, University of the Punjab (PU), Lahore–Pakistan (JAN2004–FEB2008)
工作经历:
Professor: School of Marine Science, Nanjing University of Information Science and Technology (Oct2017–Present)
Postdoctoral Fellow: Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong (MAR2014–SEP2017)
Research Assistant: Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SEP2013–JAN2014).
Research Associate (part-time): Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (AUG2013).
Administrator: Linux Server for Weather Research & Forecasting Model (WRF–ARW) (JUN2012–MAY2017).
Site Manager: PolyU Aerosol Robotic Network (AERONET) (JUN2014–MAY2017).
Site Operator: PolyU Aerosol Robotic Network (AERONET) (JAN2011–DEC2012).
Site Operator: PolyU Aerosol Lidar (JAN2011–DEC2012).
学术兼职:
Serving as a reviewer for:
1. Remote Sensing of Environment
2. Journal of Geophysical Research: Atmosphere
3. Atmospheric Measurements Technique
4. Remote Sensing
5. Aerosol and Air Quality Research
6. Journal of Atmospheric and Solar-Terrestrial Physics
7. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
8. IEEE Transactions on Geoscience and Remote Sensing
9. Arabian Journal of Geosciences
10. Remote Sensing Applications: Society and Environment
11. Atmospheric Pollution Research
12. European Journal of Remote Sensing
13. Journal of King Saud University - Science
14. Atmosphere
15. Photogrammetric Engineering and Remote Sensing
16. Dynamics of Atmospheres and Oceans
17. Science of the Total Environment
18. Atmospheric Environment
19. ISPRS Journal of Photogrammetry and Remote Sensing
荣誉获奖:
Hong Kong Ph.D. Fellowship 2010/2011: Only I was selected among 300 candidates from Pakistan for this prestigious Fellow (JUL2010–JUL2013).
Received Excellent Poster Award: "Advance training course on Ocean Remote Sensing" held at Chinese University of Hong Kong, 21-26 OCT 2013.
MS Merit Scholarship: COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan (SEP2008–MAR2010).
BS Merit Scholarships: Department of Space Science, University of the Punjab, Lahore, Pakistan (2005–2007).
近期主要论著:
(First author)
1. Bilal, M, Nazeer, M., Qiu, Z., Ding, X., and Wei, J. (2018). Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
2. Bilal, M, Qiu, Z., Campbell, J.R., Scott, S., Shen, J., and Nazeer, M (2018). A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product at 3 km Spatial Resolution. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
3. Bilal, M.*, Nichol, J.E., and Wang. L. (2017). New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product. Remote Sensing of Environment, DOI: 10.1016/j.rse.2017.05.028. (IF ~ 6.265)
4. Bilal, M.*, and Nichol, J.E. (2017). Evaluation of the NDVI–based pixel selection criteria of the MODIS C6 Dark Target and Deep Blue combined aerosol product. IEEE JSTARS, DOI: 10.1109/JSTARS.2017.**. (IF ~ 2.913)
5. Bilal, M.,* Nazeer, M., and Nichol, J.E. (2017). Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters. Atmospheric Research, 186, 43-50. (IF ~ 3.788)
6. Bilal, M., Nichol, J.E. and Scott, N.S. (2017). A New Approach for Estimation of Fine Particulate Concentrations Using Satellite Aerosol Optical Depth and Binning of Meteorological Variables. Aerosol and Air Quality Research, 17, 356–367. (IF ~ 2.606)
7. Bilal, M.,* Nichol, J.E. and Nazeer, M. (2016). Validation of Aqua–MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan, IEEE JSTARS, 9(5), 2074-2080. (IF ~ 2.913)
8. Bilal, M., and Nichol, J.E. (2015). Evaluation of MODIS aerosol retrieval algorithms over the Beijing–Tianjin–Hebei region during low to very high pollution events, Journal of Geophysical Research-Atmosphere, 120, 7941–7957. (IF ~ 3.303)
9. Bilal, M., Nichol, J.E., and Chan, P.W. (2014). Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms, Remote Sensing of Environment, 153, 50–60. (IF ~ 6.265)
10. Bilal, M., Nichol, J.E., Bleiweiss, M.P., Dubois, D.W. (2013).A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces, Remote Sensing of Environment, 136, 135–145. (IF ~ 6.265)
(Co-author)
11. Shen, X., Bilal, M., Qiu, Z., Sun, D., Want, S., and Zhu, W. (2018). Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
12. Nazeer, M. and Bilal, M.* (2018). Evaluation of Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) for water quality monitoring: a case study for the estimation of Salinity. Journal of Ocean University China. (IF ~ 0.606)
13. HC Ho, MS Wong, L Yang, TC Chan, and M Bilal. (2018). Influences of socioeconomic vulnerability and intra-urban air pollution exposure on short-term mortality during extreme dust events. Environmental Pollution, 235, 155-162, doi: 10.1016/j.envpol.2017.12.047. (IF ~ 4.839)
14. HC Ho, MS Wong, L Yang, W Shi, J Yang, M Bilal, and TC Chan. (2018). Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days. Environmental International, 112, 10-22, doi: 10.1016/j.envint.2017.12.001. (IF ~ 7.088)
15. L He, L Wang, A Lin, M Zhang, M Bilal, and J Wei. (2018). Performance of the NPP-VIIRS and Aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
16. J Wei, B Huang, M Bilal, Z Zhang, and L Wang. (2017). Verification, improvement and application of aerosol optical depths in China part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS. Atmospheric Environment, doi: 10.1016/j.atmosenv.2017.11.048. (IF ~ 3.629)
17. M Nazeer, A Waqas, M Bilal, MI Shahzad, MMM Alsahli. (2017). Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters. ISPRS International Journal of Geo-Information, 6(11), 360, doi:10.3390/ijgi**. (IF ~ 1.502)
18. L He, L Wang, A Lin, M Zhang, M Bilal, M Tao. (2017). Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015. Remote Sensing, 9 (7), 746. (IF ~ 3.244)
19. J Wei, B Huang, L Sun, Z Zhang, L Wang, M Bilal. (2017). A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces. Journal of Geophysical Research: Atmospheres, doi: 10.1002/2017JD026922. (IF ~ 3.303)
20. Wang, L., Kisi., O., Hu, B., Bilal, M., Kermani., M.Z., and Li, Hu. (2017). Evaporation modeling using different machine learning techniques. International Journal of Climatology, DOI: 10.1002/joc.5064. (IF ~ 3.609)
21. Nichol, J.E. and Bilal, M. (2016). Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia, Remote Sensing, 8(4), 328, doi: 10.3390/rs**. (IF ~ 3.244)
22. Gong, J., Hu, Y., Liu, M., Bu, R., Chang, Y., Bilal, M., Li, C., Wu, W., Ren, B. (2016). Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China. Polish J. Environ. Stud. (IF ~ 0.793)
23. Bin, Z., Qiang, P., Bilal, M., Qihao, W., Liang, Z., and Nichol, J. (2016). High–resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression, IEEE Geoscience and Remote Sensing Letters, 13(4), 495–499. (IF ~ 2.761)
24. Sun, L., Wei, J., Bilal. M., Tian, X. Jia, C., Guo, Y., and Mi, X. (2015). Aerosol Optical Depth Retrieval over Bright Areas using Landsat 8 OLI Images, Remote Sensing, 8(1), 23. (IF ~ 3.244)
25. Butt, M.J., and Bilal, M. (2011). Application of snowmelt runoff model for water resource management, Hydrological Processes, 25, 3735–3747. (IF ~ 3.014)
论文成果
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手机版
欢迎您访问我们的网站,您是第 位访客
其他栏目
基本信息
教师姓名:Muhammad Bilal
职称:教授
所在单位:海洋科学学院
个人简介
姓名: Muhammad Bilal
性别: 男
职称: 教授
出生年月: January 1, 1985
最高学历: 博士
毕业院校: TheHongKongPolytechnicUniversity,HongKong
研究方向: AerosolRemoteSensing
邮箱: muhammad.bilal@connect.polyu.hk
教育背景:
Ph.D.: Department of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, HongKong (JUL2010–JUL2013)
MS: Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Pakistan (SEP2008–APR2010)
BSc (Hons): Department of Space Science, University of the Punjab (PU), Lahore–Pakistan (JAN2004–FEB2008)
工作经历:
Professor: School of Marine Science, Nanjing University of Information Science and Technology (Oct2017–Present)
Postdoctoral Fellow: Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong (MAR2014–SEP2017)
Research Assistant: Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SEP2013–JAN2014).
Research Associate (part-time): Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (AUG2013).
Administrator: Linux Server for Weather Research & Forecasting Model (WRF–ARW) (JUN2012–MAY2017).
Site Manager: PolyU Aerosol Robotic Network (AERONET) (JUN2014–MAY2017).
Site Operator: PolyU Aerosol Robotic Network (AERONET) (JAN2011–DEC2012).
Site Operator: PolyU Aerosol Lidar (JAN2011–DEC2012).
学术兼职:
Serving as a reviewer for:
1. Remote Sensing of Environment
2. Journal of Geophysical Research: Atmosphere
3. Atmospheric Measurements Technique
4. Remote Sensing
5. Aerosol and Air Quality Research
6. Journal of Atmospheric and Solar-Terrestrial Physics
7. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
8. IEEE Transactions on Geoscience and Remote Sensing
9. Arabian Journal of Geosciences
10. Remote Sensing Applications: Society and Environment
11. Atmospheric Pollution Research
12. European Journal of Remote Sensing
13. Journal of King Saud University - Science
14. Atmosphere
15. Photogrammetric Engineering and Remote Sensing
16. Dynamics of Atmospheres and Oceans
17. Science of the Total Environment
18. Atmospheric Environment
19. ISPRS Journal of Photogrammetry and Remote Sensing
荣誉获奖:
Hong Kong Ph.D. Fellowship 2010/2011: Only I was selected among 300 candidates from Pakistan for this prestigious Fellow (JUL2010–JUL2013).
Received Excellent Poster Award: "Advance training course on Ocean Remote Sensing" held at Chinese University of Hong Kong, 21-26 OCT 2013.
MS Merit Scholarship: COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan (SEP2008–MAR2010).
BS Merit Scholarships: Department of Space Science, University of the Punjab, Lahore, Pakistan (2005–2007).
近期主要论著:
(First author)
1. Bilal, M, Nazeer, M., Qiu, Z., Ding, X., and Wei, J. (2018). Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
2. Bilal, M, Qiu, Z., Campbell, J.R., Scott, S., Shen, J., and Nazeer, M (2018). A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product at 3 km Spatial Resolution. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
3. Bilal, M.*, Nichol, J.E., and Wang. L. (2017). New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product. Remote Sensing of Environment, DOI: 10.1016/j.rse.2017.05.028. (IF ~ 6.265)
4. Bilal, M.*, and Nichol, J.E. (2017). Evaluation of the NDVI–based pixel selection criteria of the MODIS C6 Dark Target and Deep Blue combined aerosol product. IEEE JSTARS, DOI: 10.1109/JSTARS.2017.**. (IF ~ 2.913)
5. Bilal, M.,* Nazeer, M., and Nichol, J.E. (2017). Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters. Atmospheric Research, 186, 43-50. (IF ~ 3.788)
6. Bilal, M., Nichol, J.E. and Scott, N.S. (2017). A New Approach for Estimation of Fine Particulate Concentrations Using Satellite Aerosol Optical Depth and Binning of Meteorological Variables. Aerosol and Air Quality Research, 17, 356–367. (IF ~ 2.606)
7. Bilal, M.,* Nichol, J.E. and Nazeer, M. (2016). Validation of Aqua–MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan, IEEE JSTARS, 9(5), 2074-2080. (IF ~ 2.913)
8. Bilal, M., and Nichol, J.E. (2015). Evaluation of MODIS aerosol retrieval algorithms over the Beijing–Tianjin–Hebei region during low to very high pollution events, Journal of Geophysical Research-Atmosphere, 120, 7941–7957. (IF ~ 3.303)
9. Bilal, M., Nichol, J.E., and Chan, P.W. (2014). Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms, Remote Sensing of Environment, 153, 50–60. (IF ~ 6.265)
10. Bilal, M., Nichol, J.E., Bleiweiss, M.P., Dubois, D.W. (2013).A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces, Remote Sensing of Environment, 136, 135–145. (IF ~ 6.265)
(Co-author)
11. Shen, X., Bilal, M., Qiu, Z., Sun, D., Want, S., and Zhu, W. (2018). Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
12. Nazeer, M. and Bilal, M.* (2018). Evaluation of Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) for water quality monitoring: a case study for the estimation of Salinity. Journal of Ocean University China. (IF ~ 0.606)
13. HC Ho, MS Wong, L Yang, TC Chan, and M Bilal. (2018). Influences of socioeconomic vulnerability and intra-urban air pollution exposure on short-term mortality during extreme dust events. Environmental Pollution, 235, 155-162, doi: 10.1016/j.envpol.2017.12.047. (IF ~ 4.839)
14. HC Ho, MS Wong, L Yang, W Shi, J Yang, M Bilal, and TC Chan. (2018). Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days. Environmental International, 112, 10-22, doi: 10.1016/j.envint.2017.12.001. (IF ~ 7.088)
15. L He, L Wang, A Lin, M Zhang, M Bilal, and J Wei. (2018). Performance of the NPP-VIIRS and Aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
16. J Wei, B Huang, M Bilal, Z Zhang, and L Wang. (2017). Verification, improvement and application of aerosol optical depths in China part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS. Atmospheric Environment, doi: 10.1016/j.atmosenv.2017.11.048. (IF ~ 3.629)
17. M Nazeer, A Waqas, M Bilal, MI Shahzad, MMM Alsahli. (2017). Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters. ISPRS International Journal of Geo-Information, 6(11), 360, doi:10.3390/ijgi**. (IF ~ 1.502)
18. L He, L Wang, A Lin, M Zhang, M Bilal, M Tao. (2017). Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015. Remote Sensing, 9 (7), 746. (IF ~ 3.244)
19. J Wei, B Huang, L Sun, Z Zhang, L Wang, M Bilal. (2017). A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces. Journal of Geophysical Research: Atmospheres, doi: 10.1002/2017JD026922. (IF ~ 3.303)
20. Wang, L., Kisi., O., Hu, B., Bilal, M., Kermani., M.Z., and Li, Hu. (2017). Evaporation modeling using different machine learning techniques. International Journal of Climatology, DOI: 10.1002/joc.5064. (IF ~ 3.609)
21. Nichol, J.E. and Bilal, M. (2016). Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia, Remote Sensing, 8(4), 328, doi: 10.3390/rs**. (IF ~ 3.244)
22. Gong, J., Hu, Y., Liu, M., Bu, R., Chang, Y., Bilal, M., Li, C., Wu, W., Ren, B. (2016). Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China. Polish J. Environ. Stud. (IF ~ 0.793)
23. Bin, Z., Qiang, P., Bilal, M., Qihao, W., Liang, Z., and Nichol, J. (2016). High–resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression, IEEE Geoscience and Remote Sensing Letters, 13(4), 495–499. (IF ~ 2.761)
24. Sun, L., Wei, J., Bilal. M., Tian, X. Jia, C., Guo, Y., and Mi, X. (2015). Aerosol Optical Depth Retrieval over Bright Areas using Landsat 8 OLI Images, Remote Sensing, 8(1), 23. (IF ~ 3.244)
25. Butt, M.J., and Bilal, M. (2011). Application of snowmelt runoff model for water resource management, Hydrological Processes, 25, 3735–3747. (IF ~ 3.014)
专利
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基本信息
教师姓名:Muhammad Bilal
职称:教授
所在单位:海洋科学学院
个人简介
姓名: Muhammad Bilal
性别: 男
职称: 教授
出生年月: January 1, 1985
最高学历: 博士
毕业院校: TheHongKongPolytechnicUniversity,HongKong
研究方向: AerosolRemoteSensing
邮箱: muhammad.bilal@connect.polyu.hk
教育背景:
Ph.D.: Department of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, HongKong (JUL2010–JUL2013)
MS: Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Pakistan (SEP2008–APR2010)
BSc (Hons): Department of Space Science, University of the Punjab (PU), Lahore–Pakistan (JAN2004–FEB2008)
工作经历:
Professor: School of Marine Science, Nanjing University of Information Science and Technology (Oct2017–Present)
Postdoctoral Fellow: Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong (MAR2014–SEP2017)
Research Assistant: Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SEP2013–JAN2014).
Research Associate (part-time): Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (AUG2013).
Administrator: Linux Server for Weather Research & Forecasting Model (WRF–ARW) (JUN2012–MAY2017).
Site Manager: PolyU Aerosol Robotic Network (AERONET) (JUN2014–MAY2017).
Site Operator: PolyU Aerosol Robotic Network (AERONET) (JAN2011–DEC2012).
Site Operator: PolyU Aerosol Lidar (JAN2011–DEC2012).
学术兼职:
Serving as a reviewer for:
1. Remote Sensing of Environment
2. Journal of Geophysical Research: Atmosphere
3. Atmospheric Measurements Technique
4. Remote Sensing
5. Aerosol and Air Quality Research
6. Journal of Atmospheric and Solar-Terrestrial Physics
7. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
8. IEEE Transactions on Geoscience and Remote Sensing
9. Arabian Journal of Geosciences
10. Remote Sensing Applications: Society and Environment
11. Atmospheric Pollution Research
12. European Journal of Remote Sensing
13. Journal of King Saud University - Science
14. Atmosphere
15. Photogrammetric Engineering and Remote Sensing
16. Dynamics of Atmospheres and Oceans
17. Science of the Total Environment
18. Atmospheric Environment
19. ISPRS Journal of Photogrammetry and Remote Sensing
荣誉获奖:
Hong Kong Ph.D. Fellowship 2010/2011: Only I was selected among 300 candidates from Pakistan for this prestigious Fellow (JUL2010–JUL2013).
Received Excellent Poster Award: "Advance training course on Ocean Remote Sensing" held at Chinese University of Hong Kong, 21-26 OCT 2013.
MS Merit Scholarship: COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan (SEP2008–MAR2010).
BS Merit Scholarships: Department of Space Science, University of the Punjab, Lahore, Pakistan (2005–2007).
近期主要论著:
(First author)
1. Bilal, M, Nazeer, M., Qiu, Z., Ding, X., and Wei, J. (2018). Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
2. Bilal, M, Qiu, Z., Campbell, J.R., Scott, S., Shen, J., and Nazeer, M (2018). A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product at 3 km Spatial Resolution. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
3. Bilal, M.*, Nichol, J.E., and Wang. L. (2017). New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product. Remote Sensing of Environment, DOI: 10.1016/j.rse.2017.05.028. (IF ~ 6.265)
4. Bilal, M.*, and Nichol, J.E. (2017). Evaluation of the NDVI–based pixel selection criteria of the MODIS C6 Dark Target and Deep Blue combined aerosol product. IEEE JSTARS, DOI: 10.1109/JSTARS.2017.**. (IF ~ 2.913)
5. Bilal, M.,* Nazeer, M., and Nichol, J.E. (2017). Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters. Atmospheric Research, 186, 43-50. (IF ~ 3.788)
6. Bilal, M., Nichol, J.E. and Scott, N.S. (2017). A New Approach for Estimation of Fine Particulate Concentrations Using Satellite Aerosol Optical Depth and Binning of Meteorological Variables. Aerosol and Air Quality Research, 17, 356–367. (IF ~ 2.606)
7. Bilal, M.,* Nichol, J.E. and Nazeer, M. (2016). Validation of Aqua–MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan, IEEE JSTARS, 9(5), 2074-2080. (IF ~ 2.913)
8. Bilal, M., and Nichol, J.E. (2015). Evaluation of MODIS aerosol retrieval algorithms over the Beijing–Tianjin–Hebei region during low to very high pollution events, Journal of Geophysical Research-Atmosphere, 120, 7941–7957. (IF ~ 3.303)
9. Bilal, M., Nichol, J.E., and Chan, P.W. (2014). Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms, Remote Sensing of Environment, 153, 50–60. (IF ~ 6.265)
10. Bilal, M., Nichol, J.E., Bleiweiss, M.P., Dubois, D.W. (2013).A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces, Remote Sensing of Environment, 136, 135–145. (IF ~ 6.265)
(Co-author)
11. Shen, X., Bilal, M., Qiu, Z., Sun, D., Want, S., and Zhu, W. (2018). Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
12. Nazeer, M. and Bilal, M.* (2018). Evaluation of Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) for water quality monitoring: a case study for the estimation of Salinity. Journal of Ocean University China. (IF ~ 0.606)
13. HC Ho, MS Wong, L Yang, TC Chan, and M Bilal. (2018). Influences of socioeconomic vulnerability and intra-urban air pollution exposure on short-term mortality during extreme dust events. Environmental Pollution, 235, 155-162, doi: 10.1016/j.envpol.2017.12.047. (IF ~ 4.839)
14. HC Ho, MS Wong, L Yang, W Shi, J Yang, M Bilal, and TC Chan. (2018). Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days. Environmental International, 112, 10-22, doi: 10.1016/j.envint.2017.12.001. (IF ~ 7.088)
15. L He, L Wang, A Lin, M Zhang, M Bilal, and J Wei. (2018). Performance of the NPP-VIIRS and Aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
16. J Wei, B Huang, M Bilal, Z Zhang, and L Wang. (2017). Verification, improvement and application of aerosol optical depths in China part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS. Atmospheric Environment, doi: 10.1016/j.atmosenv.2017.11.048. (IF ~ 3.629)
17. M Nazeer, A Waqas, M Bilal, MI Shahzad, MMM Alsahli. (2017). Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters. ISPRS International Journal of Geo-Information, 6(11), 360, doi:10.3390/ijgi**. (IF ~ 1.502)
18. L He, L Wang, A Lin, M Zhang, M Bilal, M Tao. (2017). Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015. Remote Sensing, 9 (7), 746. (IF ~ 3.244)
19. J Wei, B Huang, L Sun, Z Zhang, L Wang, M Bilal. (2017). A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces. Journal of Geophysical Research: Atmospheres, doi: 10.1002/2017JD026922. (IF ~ 3.303)
20. Wang, L., Kisi., O., Hu, B., Bilal, M., Kermani., M.Z., and Li, Hu. (2017). Evaporation modeling using different machine learning techniques. International Journal of Climatology, DOI: 10.1002/joc.5064. (IF ~ 3.609)
21. Nichol, J.E. and Bilal, M. (2016). Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia, Remote Sensing, 8(4), 328, doi: 10.3390/rs**. (IF ~ 3.244)
22. Gong, J., Hu, Y., Liu, M., Bu, R., Chang, Y., Bilal, M., Li, C., Wu, W., Ren, B. (2016). Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China. Polish J. Environ. Stud. (IF ~ 0.793)
23. Bin, Z., Qiang, P., Bilal, M., Qihao, W., Liang, Z., and Nichol, J. (2016). High–resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression, IEEE Geoscience and Remote Sensing Letters, 13(4), 495–499. (IF ~ 2.761)
24. Sun, L., Wei, J., Bilal. M., Tian, X. Jia, C., Guo, Y., and Mi, X. (2015). Aerosol Optical Depth Retrieval over Bright Areas using Landsat 8 OLI Images, Remote Sensing, 8(1), 23. (IF ~ 3.244)
25. Butt, M.J., and Bilal, M. (2011). Application of snowmelt runoff model for water resource management, Hydrological Processes, 25, 3735–3747. (IF ~ 3.014)
著作成果
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其他栏目
基本信息
教师姓名:Muhammad Bilal
职称:教授
所在单位:海洋科学学院
个人简介
姓名: Muhammad Bilal
性别: 男
职称: 教授
出生年月: January 1, 1985
最高学历: 博士
毕业院校: TheHongKongPolytechnicUniversity,HongKong
研究方向: AerosolRemoteSensing
邮箱: muhammad.bilal@connect.polyu.hk
教育背景:
Ph.D.: Department of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, HongKong (JUL2010–JUL2013)
MS: Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Pakistan (SEP2008–APR2010)
BSc (Hons): Department of Space Science, University of the Punjab (PU), Lahore–Pakistan (JAN2004–FEB2008)
工作经历:
Professor: School of Marine Science, Nanjing University of Information Science and Technology (Oct2017–Present)
Postdoctoral Fellow: Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong (MAR2014–SEP2017)
Research Assistant: Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SEP2013–JAN2014).
Research Associate (part-time): Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (AUG2013).
Administrator: Linux Server for Weather Research & Forecasting Model (WRF–ARW) (JUN2012–MAY2017).
Site Manager: PolyU Aerosol Robotic Network (AERONET) (JUN2014–MAY2017).
Site Operator: PolyU Aerosol Robotic Network (AERONET) (JAN2011–DEC2012).
Site Operator: PolyU Aerosol Lidar (JAN2011–DEC2012).
学术兼职:
Serving as a reviewer for:
1. Remote Sensing of Environment
2. Journal of Geophysical Research: Atmosphere
3. Atmospheric Measurements Technique
4. Remote Sensing
5. Aerosol and Air Quality Research
6. Journal of Atmospheric and Solar-Terrestrial Physics
7. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
8. IEEE Transactions on Geoscience and Remote Sensing
9. Arabian Journal of Geosciences
10. Remote Sensing Applications: Society and Environment
11. Atmospheric Pollution Research
12. European Journal of Remote Sensing
13. Journal of King Saud University - Science
14. Atmosphere
15. Photogrammetric Engineering and Remote Sensing
16. Dynamics of Atmospheres and Oceans
17. Science of the Total Environment
18. Atmospheric Environment
19. ISPRS Journal of Photogrammetry and Remote Sensing
荣誉获奖:
Hong Kong Ph.D. Fellowship 2010/2011: Only I was selected among 300 candidates from Pakistan for this prestigious Fellow (JUL2010–JUL2013).
Received Excellent Poster Award: "Advance training course on Ocean Remote Sensing" held at Chinese University of Hong Kong, 21-26 OCT 2013.
MS Merit Scholarship: COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan (SEP2008–MAR2010).
BS Merit Scholarships: Department of Space Science, University of the Punjab, Lahore, Pakistan (2005–2007).
近期主要论著:
(First author)
1. Bilal, M, Nazeer, M., Qiu, Z., Ding, X., and Wei, J. (2018). Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
2. Bilal, M, Qiu, Z., Campbell, J.R., Scott, S., Shen, J., and Nazeer, M (2018). A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product at 3 km Spatial Resolution. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
3. Bilal, M.*, Nichol, J.E., and Wang. L. (2017). New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product. Remote Sensing of Environment, DOI: 10.1016/j.rse.2017.05.028. (IF ~ 6.265)
4. Bilal, M.*, and Nichol, J.E. (2017). Evaluation of the NDVI–based pixel selection criteria of the MODIS C6 Dark Target and Deep Blue combined aerosol product. IEEE JSTARS, DOI: 10.1109/JSTARS.2017.**. (IF ~ 2.913)
5. Bilal, M.,* Nazeer, M., and Nichol, J.E. (2017). Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters. Atmospheric Research, 186, 43-50. (IF ~ 3.788)
6. Bilal, M., Nichol, J.E. and Scott, N.S. (2017). A New Approach for Estimation of Fine Particulate Concentrations Using Satellite Aerosol Optical Depth and Binning of Meteorological Variables. Aerosol and Air Quality Research, 17, 356–367. (IF ~ 2.606)
7. Bilal, M.,* Nichol, J.E. and Nazeer, M. (2016). Validation of Aqua–MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan, IEEE JSTARS, 9(5), 2074-2080. (IF ~ 2.913)
8. Bilal, M., and Nichol, J.E. (2015). Evaluation of MODIS aerosol retrieval algorithms over the Beijing–Tianjin–Hebei region during low to very high pollution events, Journal of Geophysical Research-Atmosphere, 120, 7941–7957. (IF ~ 3.303)
9. Bilal, M., Nichol, J.E., and Chan, P.W. (2014). Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms, Remote Sensing of Environment, 153, 50–60. (IF ~ 6.265)
10. Bilal, M., Nichol, J.E., Bleiweiss, M.P., Dubois, D.W. (2013).A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces, Remote Sensing of Environment, 136, 135–145. (IF ~ 6.265)
(Co-author)
11. Shen, X., Bilal, M., Qiu, Z., Sun, D., Want, S., and Zhu, W. (2018). Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
12. Nazeer, M. and Bilal, M.* (2018). Evaluation of Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) for water quality monitoring: a case study for the estimation of Salinity. Journal of Ocean University China. (IF ~ 0.606)
13. HC Ho, MS Wong, L Yang, TC Chan, and M Bilal. (2018). Influences of socioeconomic vulnerability and intra-urban air pollution exposure on short-term mortality during extreme dust events. Environmental Pollution, 235, 155-162, doi: 10.1016/j.envpol.2017.12.047. (IF ~ 4.839)
14. HC Ho, MS Wong, L Yang, W Shi, J Yang, M Bilal, and TC Chan. (2018). Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days. Environmental International, 112, 10-22, doi: 10.1016/j.envint.2017.12.001. (IF ~ 7.088)
15. L He, L Wang, A Lin, M Zhang, M Bilal, and J Wei. (2018). Performance of the NPP-VIIRS and Aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
16. J Wei, B Huang, M Bilal, Z Zhang, and L Wang. (2017). Verification, improvement and application of aerosol optical depths in China part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS. Atmospheric Environment, doi: 10.1016/j.atmosenv.2017.11.048. (IF ~ 3.629)
17. M Nazeer, A Waqas, M Bilal, MI Shahzad, MMM Alsahli. (2017). Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters. ISPRS International Journal of Geo-Information, 6(11), 360, doi:10.3390/ijgi**. (IF ~ 1.502)
18. L He, L Wang, A Lin, M Zhang, M Bilal, M Tao. (2017). Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015. Remote Sensing, 9 (7), 746. (IF ~ 3.244)
19. J Wei, B Huang, L Sun, Z Zhang, L Wang, M Bilal. (2017). A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces. Journal of Geophysical Research: Atmospheres, doi: 10.1002/2017JD026922. (IF ~ 3.303)
20. Wang, L., Kisi., O., Hu, B., Bilal, M., Kermani., M.Z., and Li, Hu. (2017). Evaporation modeling using different machine learning techniques. International Journal of Climatology, DOI: 10.1002/joc.5064. (IF ~ 3.609)
21. Nichol, J.E. and Bilal, M. (2016). Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia, Remote Sensing, 8(4), 328, doi: 10.3390/rs**. (IF ~ 3.244)
22. Gong, J., Hu, Y., Liu, M., Bu, R., Chang, Y., Bilal, M., Li, C., Wu, W., Ren, B. (2016). Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China. Polish J. Environ. Stud. (IF ~ 0.793)
23. Bin, Z., Qiang, P., Bilal, M., Qihao, W., Liang, Z., and Nichol, J. (2016). High–resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression, IEEE Geoscience and Remote Sensing Letters, 13(4), 495–499. (IF ~ 2.761)
24. Sun, L., Wei, J., Bilal. M., Tian, X. Jia, C., Guo, Y., and Mi, X. (2015). Aerosol Optical Depth Retrieval over Bright Areas using Landsat 8 OLI Images, Remote Sensing, 8(1), 23. (IF ~ 3.244)
25. Butt, M.J., and Bilal, M. (2011). Application of snowmelt runoff model for water resource management, Hydrological Processes, 25, 3735–3747. (IF ~ 3.014)
科研项目
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欢迎您访问我们的网站,您是第 位访客
其他栏目
基本信息
教师姓名:Muhammad Bilal
职称:教授
所在单位:海洋科学学院
个人简介
姓名: Muhammad Bilal
性别: 男
职称: 教授
出生年月: January 1, 1985
最高学历: 博士
毕业院校: TheHongKongPolytechnicUniversity,HongKong
研究方向: AerosolRemoteSensing
邮箱: muhammad.bilal@connect.polyu.hk
教育背景:
Ph.D.: Department of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, HongKong (JUL2010–JUL2013)
MS: Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Pakistan (SEP2008–APR2010)
BSc (Hons): Department of Space Science, University of the Punjab (PU), Lahore–Pakistan (JAN2004–FEB2008)
工作经历:
Professor: School of Marine Science, Nanjing University of Information Science and Technology (Oct2017–Present)
Postdoctoral Fellow: Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong (MAR2014–SEP2017)
Research Assistant: Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SEP2013–JAN2014).
Research Associate (part-time): Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (AUG2013).
Administrator: Linux Server for Weather Research & Forecasting Model (WRF–ARW) (JUN2012–MAY2017).
Site Manager: PolyU Aerosol Robotic Network (AERONET) (JUN2014–MAY2017).
Site Operator: PolyU Aerosol Robotic Network (AERONET) (JAN2011–DEC2012).
Site Operator: PolyU Aerosol Lidar (JAN2011–DEC2012).
学术兼职:
Serving as a reviewer for:
1. Remote Sensing of Environment
2. Journal of Geophysical Research: Atmosphere
3. Atmospheric Measurements Technique
4. Remote Sensing
5. Aerosol and Air Quality Research
6. Journal of Atmospheric and Solar-Terrestrial Physics
7. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
8. IEEE Transactions on Geoscience and Remote Sensing
9. Arabian Journal of Geosciences
10. Remote Sensing Applications: Society and Environment
11. Atmospheric Pollution Research
12. European Journal of Remote Sensing
13. Journal of King Saud University - Science
14. Atmosphere
15. Photogrammetric Engineering and Remote Sensing
16. Dynamics of Atmospheres and Oceans
17. Science of the Total Environment
18. Atmospheric Environment
19. ISPRS Journal of Photogrammetry and Remote Sensing
荣誉获奖:
Hong Kong Ph.D. Fellowship 2010/2011: Only I was selected among 300 candidates from Pakistan for this prestigious Fellow (JUL2010–JUL2013).
Received Excellent Poster Award: "Advance training course on Ocean Remote Sensing" held at Chinese University of Hong Kong, 21-26 OCT 2013.
MS Merit Scholarship: COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan (SEP2008–MAR2010).
BS Merit Scholarships: Department of Space Science, University of the Punjab, Lahore, Pakistan (2005–2007).
近期主要论著:
(First author)
1. Bilal, M, Nazeer, M., Qiu, Z., Ding, X., and Wei, J. (2018). Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
2. Bilal, M, Qiu, Z., Campbell, J.R., Scott, S., Shen, J., and Nazeer, M (2018). A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product at 3 km Spatial Resolution. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
3. Bilal, M.*, Nichol, J.E., and Wang. L. (2017). New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product. Remote Sensing of Environment, DOI: 10.1016/j.rse.2017.05.028. (IF ~ 6.265)
4. Bilal, M.*, and Nichol, J.E. (2017). Evaluation of the NDVI–based pixel selection criteria of the MODIS C6 Dark Target and Deep Blue combined aerosol product. IEEE JSTARS, DOI: 10.1109/JSTARS.2017.**. (IF ~ 2.913)
5. Bilal, M.,* Nazeer, M., and Nichol, J.E. (2017). Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters. Atmospheric Research, 186, 43-50. (IF ~ 3.788)
6. Bilal, M., Nichol, J.E. and Scott, N.S. (2017). A New Approach for Estimation of Fine Particulate Concentrations Using Satellite Aerosol Optical Depth and Binning of Meteorological Variables. Aerosol and Air Quality Research, 17, 356–367. (IF ~ 2.606)
7. Bilal, M.,* Nichol, J.E. and Nazeer, M. (2016). Validation of Aqua–MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan, IEEE JSTARS, 9(5), 2074-2080. (IF ~ 2.913)
8. Bilal, M., and Nichol, J.E. (2015). Evaluation of MODIS aerosol retrieval algorithms over the Beijing–Tianjin–Hebei region during low to very high pollution events, Journal of Geophysical Research-Atmosphere, 120, 7941–7957. (IF ~ 3.303)
9. Bilal, M., Nichol, J.E., and Chan, P.W. (2014). Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms, Remote Sensing of Environment, 153, 50–60. (IF ~ 6.265)
10. Bilal, M., Nichol, J.E., Bleiweiss, M.P., Dubois, D.W. (2013).A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces, Remote Sensing of Environment, 136, 135–145. (IF ~ 6.265)
(Co-author)
11. Shen, X., Bilal, M., Qiu, Z., Sun, D., Want, S., and Zhu, W. (2018). Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
12. Nazeer, M. and Bilal, M.* (2018). Evaluation of Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) for water quality monitoring: a case study for the estimation of Salinity. Journal of Ocean University China. (IF ~ 0.606)
13. HC Ho, MS Wong, L Yang, TC Chan, and M Bilal. (2018). Influences of socioeconomic vulnerability and intra-urban air pollution exposure on short-term mortality during extreme dust events. Environmental Pollution, 235, 155-162, doi: 10.1016/j.envpol.2017.12.047. (IF ~ 4.839)
14. HC Ho, MS Wong, L Yang, W Shi, J Yang, M Bilal, and TC Chan. (2018). Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days. Environmental International, 112, 10-22, doi: 10.1016/j.envint.2017.12.001. (IF ~ 7.088)
15. L He, L Wang, A Lin, M Zhang, M Bilal, and J Wei. (2018). Performance of the NPP-VIIRS and Aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
16. J Wei, B Huang, M Bilal, Z Zhang, and L Wang. (2017). Verification, improvement and application of aerosol optical depths in China part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS. Atmospheric Environment, doi: 10.1016/j.atmosenv.2017.11.048. (IF ~ 3.629)
17. M Nazeer, A Waqas, M Bilal, MI Shahzad, MMM Alsahli. (2017). Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters. ISPRS International Journal of Geo-Information, 6(11), 360, doi:10.3390/ijgi**. (IF ~ 1.502)
18. L He, L Wang, A Lin, M Zhang, M Bilal, M Tao. (2017). Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015. Remote Sensing, 9 (7), 746. (IF ~ 3.244)
19. J Wei, B Huang, L Sun, Z Zhang, L Wang, M Bilal. (2017). A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces. Journal of Geophysical Research: Atmospheres, doi: 10.1002/2017JD026922. (IF ~ 3.303)
20. Wang, L., Kisi., O., Hu, B., Bilal, M., Kermani., M.Z., and Li, Hu. (2017). Evaporation modeling using different machine learning techniques. International Journal of Climatology, DOI: 10.1002/joc.5064. (IF ~ 3.609)
21. Nichol, J.E. and Bilal, M. (2016). Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia, Remote Sensing, 8(4), 328, doi: 10.3390/rs**. (IF ~ 3.244)
22. Gong, J., Hu, Y., Liu, M., Bu, R., Chang, Y., Bilal, M., Li, C., Wu, W., Ren, B. (2016). Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China. Polish J. Environ. Stud. (IF ~ 0.793)
23. Bin, Z., Qiang, P., Bilal, M., Qihao, W., Liang, Z., and Nichol, J. (2016). High–resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression, IEEE Geoscience and Remote Sensing Letters, 13(4), 495–499. (IF ~ 2.761)
24. Sun, L., Wei, J., Bilal. M., Tian, X. Jia, C., Guo, Y., and Mi, X. (2015). Aerosol Optical Depth Retrieval over Bright Areas using Landsat 8 OLI Images, Remote Sensing, 8(1), 23. (IF ~ 3.244)
25. Butt, M.J., and Bilal, M. (2011). Application of snowmelt runoff model for water resource management, Hydrological Processes, 25, 3735–3747. (IF ~ 3.014)
教学研究
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基本信息
教师姓名:Muhammad Bilal
职称:教授
所在单位:海洋科学学院
个人简介
姓名: Muhammad Bilal
性别: 男
职称: 教授
出生年月: January 1, 1985
最高学历: 博士
毕业院校: TheHongKongPolytechnicUniversity,HongKong
研究方向: AerosolRemoteSensing
邮箱: muhammad.bilal@connect.polyu.hk
教育背景:
Ph.D.: Department of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, HongKong (JUL2010–JUL2013)
MS: Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Pakistan (SEP2008–APR2010)
BSc (Hons): Department of Space Science, University of the Punjab (PU), Lahore–Pakistan (JAN2004–FEB2008)
工作经历:
Professor: School of Marine Science, Nanjing University of Information Science and Technology (Oct2017–Present)
Postdoctoral Fellow: Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong (MAR2014–SEP2017)
Research Assistant: Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SEP2013–JAN2014).
Research Associate (part-time): Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (AUG2013).
Administrator: Linux Server for Weather Research & Forecasting Model (WRF–ARW) (JUN2012–MAY2017).
Site Manager: PolyU Aerosol Robotic Network (AERONET) (JUN2014–MAY2017).
Site Operator: PolyU Aerosol Robotic Network (AERONET) (JAN2011–DEC2012).
Site Operator: PolyU Aerosol Lidar (JAN2011–DEC2012).
学术兼职:
Serving as a reviewer for:
1. Remote Sensing of Environment
2. Journal of Geophysical Research: Atmosphere
3. Atmospheric Measurements Technique
4. Remote Sensing
5. Aerosol and Air Quality Research
6. Journal of Atmospheric and Solar-Terrestrial Physics
7. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
8. IEEE Transactions on Geoscience and Remote Sensing
9. Arabian Journal of Geosciences
10. Remote Sensing Applications: Society and Environment
11. Atmospheric Pollution Research
12. European Journal of Remote Sensing
13. Journal of King Saud University - Science
14. Atmosphere
15. Photogrammetric Engineering and Remote Sensing
16. Dynamics of Atmospheres and Oceans
17. Science of the Total Environment
18. Atmospheric Environment
19. ISPRS Journal of Photogrammetry and Remote Sensing
荣誉获奖:
Hong Kong Ph.D. Fellowship 2010/2011: Only I was selected among 300 candidates from Pakistan for this prestigious Fellow (JUL2010–JUL2013).
Received Excellent Poster Award: "Advance training course on Ocean Remote Sensing" held at Chinese University of Hong Kong, 21-26 OCT 2013.
MS Merit Scholarship: COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan (SEP2008–MAR2010).
BS Merit Scholarships: Department of Space Science, University of the Punjab, Lahore, Pakistan (2005–2007).
近期主要论著:
(First author)
1. Bilal, M, Nazeer, M., Qiu, Z., Ding, X., and Wei, J. (2018). Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
2. Bilal, M, Qiu, Z., Campbell, J.R., Scott, S., Shen, J., and Nazeer, M (2018). A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product at 3 km Spatial Resolution. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
3. Bilal, M.*, Nichol, J.E., and Wang. L. (2017). New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product. Remote Sensing of Environment, DOI: 10.1016/j.rse.2017.05.028. (IF ~ 6.265)
4. Bilal, M.*, and Nichol, J.E. (2017). Evaluation of the NDVI–based pixel selection criteria of the MODIS C6 Dark Target and Deep Blue combined aerosol product. IEEE JSTARS, DOI: 10.1109/JSTARS.2017.**. (IF ~ 2.913)
5. Bilal, M.,* Nazeer, M., and Nichol, J.E. (2017). Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters. Atmospheric Research, 186, 43-50. (IF ~ 3.788)
6. Bilal, M., Nichol, J.E. and Scott, N.S. (2017). A New Approach for Estimation of Fine Particulate Concentrations Using Satellite Aerosol Optical Depth and Binning of Meteorological Variables. Aerosol and Air Quality Research, 17, 356–367. (IF ~ 2.606)
7. Bilal, M.,* Nichol, J.E. and Nazeer, M. (2016). Validation of Aqua–MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan, IEEE JSTARS, 9(5), 2074-2080. (IF ~ 2.913)
8. Bilal, M., and Nichol, J.E. (2015). Evaluation of MODIS aerosol retrieval algorithms over the Beijing–Tianjin–Hebei region during low to very high pollution events, Journal of Geophysical Research-Atmosphere, 120, 7941–7957. (IF ~ 3.303)
9. Bilal, M., Nichol, J.E., and Chan, P.W. (2014). Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms, Remote Sensing of Environment, 153, 50–60. (IF ~ 6.265)
10. Bilal, M., Nichol, J.E., Bleiweiss, M.P., Dubois, D.W. (2013).A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces, Remote Sensing of Environment, 136, 135–145. (IF ~ 6.265)
(Co-author)
11. Shen, X., Bilal, M., Qiu, Z., Sun, D., Want, S., and Zhu, W. (2018). Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
12. Nazeer, M. and Bilal, M.* (2018). Evaluation of Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) for water quality monitoring: a case study for the estimation of Salinity. Journal of Ocean University China. (IF ~ 0.606)
13. HC Ho, MS Wong, L Yang, TC Chan, and M Bilal. (2018). Influences of socioeconomic vulnerability and intra-urban air pollution exposure on short-term mortality during extreme dust events. Environmental Pollution, 235, 155-162, doi: 10.1016/j.envpol.2017.12.047. (IF ~ 4.839)
14. HC Ho, MS Wong, L Yang, W Shi, J Yang, M Bilal, and TC Chan. (2018). Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days. Environmental International, 112, 10-22, doi: 10.1016/j.envint.2017.12.001. (IF ~ 7.088)
15. L He, L Wang, A Lin, M Zhang, M Bilal, and J Wei. (2018). Performance of the NPP-VIIRS and Aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
16. J Wei, B Huang, M Bilal, Z Zhang, and L Wang. (2017). Verification, improvement and application of aerosol optical depths in China part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS. Atmospheric Environment, doi: 10.1016/j.atmosenv.2017.11.048. (IF ~ 3.629)
17. M Nazeer, A Waqas, M Bilal, MI Shahzad, MMM Alsahli. (2017). Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters. ISPRS International Journal of Geo-Information, 6(11), 360, doi:10.3390/ijgi**. (IF ~ 1.502)
18. L He, L Wang, A Lin, M Zhang, M Bilal, M Tao. (2017). Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015. Remote Sensing, 9 (7), 746. (IF ~ 3.244)
19. J Wei, B Huang, L Sun, Z Zhang, L Wang, M Bilal. (2017). A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces. Journal of Geophysical Research: Atmospheres, doi: 10.1002/2017JD026922. (IF ~ 3.303)
20. Wang, L., Kisi., O., Hu, B., Bilal, M., Kermani., M.Z., and Li, Hu. (2017). Evaporation modeling using different machine learning techniques. International Journal of Climatology, DOI: 10.1002/joc.5064. (IF ~ 3.609)
21. Nichol, J.E. and Bilal, M. (2016). Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia, Remote Sensing, 8(4), 328, doi: 10.3390/rs**. (IF ~ 3.244)
22. Gong, J., Hu, Y., Liu, M., Bu, R., Chang, Y., Bilal, M., Li, C., Wu, W., Ren, B. (2016). Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China. Polish J. Environ. Stud. (IF ~ 0.793)
23. Bin, Z., Qiang, P., Bilal, M., Qihao, W., Liang, Z., and Nichol, J. (2016). High–resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression, IEEE Geoscience and Remote Sensing Letters, 13(4), 495–499. (IF ~ 2.761)
24. Sun, L., Wei, J., Bilal. M., Tian, X. Jia, C., Guo, Y., and Mi, X. (2015). Aerosol Optical Depth Retrieval over Bright Areas using Landsat 8 OLI Images, Remote Sensing, 8(1), 23. (IF ~ 3.244)
25. Butt, M.J., and Bilal, M. (2011). Application of snowmelt runoff model for water resource management, Hydrological Processes, 25, 3735–3747. (IF ~ 3.014)
教学资源
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手机版
欢迎您访问我们的网站,您是第 位访客
其他栏目
基本信息
教师姓名:Muhammad Bilal
职称:教授
所在单位:海洋科学学院
个人简介
姓名: Muhammad Bilal
性别: 男
职称: 教授
出生年月: January 1, 1985
最高学历: 博士
毕业院校: TheHongKongPolytechnicUniversity,HongKong
研究方向: AerosolRemoteSensing
邮箱: muhammad.bilal@connect.polyu.hk
教育背景:
Ph.D.: Department of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, HongKong (JUL2010–JUL2013)
MS: Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Pakistan (SEP2008–APR2010)
BSc (Hons): Department of Space Science, University of the Punjab (PU), Lahore–Pakistan (JAN2004–FEB2008)
工作经历:
Professor: School of Marine Science, Nanjing University of Information Science and Technology (Oct2017–Present)
Postdoctoral Fellow: Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong (MAR2014–SEP2017)
Research Assistant: Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SEP2013–JAN2014).
Research Associate (part-time): Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (AUG2013).
Administrator: Linux Server for Weather Research & Forecasting Model (WRF–ARW) (JUN2012–MAY2017).
Site Manager: PolyU Aerosol Robotic Network (AERONET) (JUN2014–MAY2017).
Site Operator: PolyU Aerosol Robotic Network (AERONET) (JAN2011–DEC2012).
Site Operator: PolyU Aerosol Lidar (JAN2011–DEC2012).
学术兼职:
Serving as a reviewer for:
1. Remote Sensing of Environment
2. Journal of Geophysical Research: Atmosphere
3. Atmospheric Measurements Technique
4. Remote Sensing
5. Aerosol and Air Quality Research
6. Journal of Atmospheric and Solar-Terrestrial Physics
7. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
8. IEEE Transactions on Geoscience and Remote Sensing
9. Arabian Journal of Geosciences
10. Remote Sensing Applications: Society and Environment
11. Atmospheric Pollution Research
12. European Journal of Remote Sensing
13. Journal of King Saud University - Science
14. Atmosphere
15. Photogrammetric Engineering and Remote Sensing
16. Dynamics of Atmospheres and Oceans
17. Science of the Total Environment
18. Atmospheric Environment
19. ISPRS Journal of Photogrammetry and Remote Sensing
荣誉获奖:
Hong Kong Ph.D. Fellowship 2010/2011: Only I was selected among 300 candidates from Pakistan for this prestigious Fellow (JUL2010–JUL2013).
Received Excellent Poster Award: "Advance training course on Ocean Remote Sensing" held at Chinese University of Hong Kong, 21-26 OCT 2013.
MS Merit Scholarship: COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan (SEP2008–MAR2010).
BS Merit Scholarships: Department of Space Science, University of the Punjab, Lahore, Pakistan (2005–2007).
近期主要论著:
(First author)
1. Bilal, M, Nazeer, M., Qiu, Z., Ding, X., and Wei, J. (2018). Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
2. Bilal, M, Qiu, Z., Campbell, J.R., Scott, S., Shen, J., and Nazeer, M (2018). A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product at 3 km Spatial Resolution. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
3. Bilal, M.*, Nichol, J.E., and Wang. L. (2017). New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product. Remote Sensing of Environment, DOI: 10.1016/j.rse.2017.05.028. (IF ~ 6.265)
4. Bilal, M.*, and Nichol, J.E. (2017). Evaluation of the NDVI–based pixel selection criteria of the MODIS C6 Dark Target and Deep Blue combined aerosol product. IEEE JSTARS, DOI: 10.1109/JSTARS.2017.**. (IF ~ 2.913)
5. Bilal, M.,* Nazeer, M., and Nichol, J.E. (2017). Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters. Atmospheric Research, 186, 43-50. (IF ~ 3.788)
6. Bilal, M., Nichol, J.E. and Scott, N.S. (2017). A New Approach for Estimation of Fine Particulate Concentrations Using Satellite Aerosol Optical Depth and Binning of Meteorological Variables. Aerosol and Air Quality Research, 17, 356–367. (IF ~ 2.606)
7. Bilal, M.,* Nichol, J.E. and Nazeer, M. (2016). Validation of Aqua–MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan, IEEE JSTARS, 9(5), 2074-2080. (IF ~ 2.913)
8. Bilal, M., and Nichol, J.E. (2015). Evaluation of MODIS aerosol retrieval algorithms over the Beijing–Tianjin–Hebei region during low to very high pollution events, Journal of Geophysical Research-Atmosphere, 120, 7941–7957. (IF ~ 3.303)
9. Bilal, M., Nichol, J.E., and Chan, P.W. (2014). Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms, Remote Sensing of Environment, 153, 50–60. (IF ~ 6.265)
10. Bilal, M., Nichol, J.E., Bleiweiss, M.P., Dubois, D.W. (2013).A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces, Remote Sensing of Environment, 136, 135–145. (IF ~ 6.265)
(Co-author)
11. Shen, X., Bilal, M., Qiu, Z., Sun, D., Want, S., and Zhu, W. (2018). Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
12. Nazeer, M. and Bilal, M.* (2018). Evaluation of Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) for water quality monitoring: a case study for the estimation of Salinity. Journal of Ocean University China. (IF ~ 0.606)
13. HC Ho, MS Wong, L Yang, TC Chan, and M Bilal. (2018). Influences of socioeconomic vulnerability and intra-urban air pollution exposure on short-term mortality during extreme dust events. Environmental Pollution, 235, 155-162, doi: 10.1016/j.envpol.2017.12.047. (IF ~ 4.839)
14. HC Ho, MS Wong, L Yang, W Shi, J Yang, M Bilal, and TC Chan. (2018). Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days. Environmental International, 112, 10-22, doi: 10.1016/j.envint.2017.12.001. (IF ~ 7.088)
15. L He, L Wang, A Lin, M Zhang, M Bilal, and J Wei. (2018). Performance of the NPP-VIIRS and Aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
16. J Wei, B Huang, M Bilal, Z Zhang, and L Wang. (2017). Verification, improvement and application of aerosol optical depths in China part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS. Atmospheric Environment, doi: 10.1016/j.atmosenv.2017.11.048. (IF ~ 3.629)
17. M Nazeer, A Waqas, M Bilal, MI Shahzad, MMM Alsahli. (2017). Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters. ISPRS International Journal of Geo-Information, 6(11), 360, doi:10.3390/ijgi**. (IF ~ 1.502)
18. L He, L Wang, A Lin, M Zhang, M Bilal, M Tao. (2017). Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015. Remote Sensing, 9 (7), 746. (IF ~ 3.244)
19. J Wei, B Huang, L Sun, Z Zhang, L Wang, M Bilal. (2017). A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces. Journal of Geophysical Research: Atmospheres, doi: 10.1002/2017JD026922. (IF ~ 3.303)
20. Wang, L., Kisi., O., Hu, B., Bilal, M., Kermani., M.Z., and Li, Hu. (2017). Evaporation modeling using different machine learning techniques. International Journal of Climatology, DOI: 10.1002/joc.5064. (IF ~ 3.609)
21. Nichol, J.E. and Bilal, M. (2016). Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia, Remote Sensing, 8(4), 328, doi: 10.3390/rs**. (IF ~ 3.244)
22. Gong, J., Hu, Y., Liu, M., Bu, R., Chang, Y., Bilal, M., Li, C., Wu, W., Ren, B. (2016). Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China. Polish J. Environ. Stud. (IF ~ 0.793)
23. Bin, Z., Qiang, P., Bilal, M., Qihao, W., Liang, Z., and Nichol, J. (2016). High–resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression, IEEE Geoscience and Remote Sensing Letters, 13(4), 495–499. (IF ~ 2.761)
24. Sun, L., Wei, J., Bilal. M., Tian, X. Jia, C., Guo, Y., and Mi, X. (2015). Aerosol Optical Depth Retrieval over Bright Areas using Landsat 8 OLI Images, Remote Sensing, 8(1), 23. (IF ~ 3.244)
25. Butt, M.J., and Bilal, M. (2011). Application of snowmelt runoff model for water resource management, Hydrological Processes, 25, 3735–3747. (IF ~ 3.014)
授课信息
当前位置 : 中文主页 >> 教学研究 >> 授课信息
手机版
欢迎您访问我们的网站,您是第 位访客
其他栏目
基本信息
教师姓名:Muhammad Bilal
职称:教授
所在单位:海洋科学学院
个人简介
姓名: Muhammad Bilal
性别: 男
职称: 教授
出生年月: January 1, 1985
最高学历: 博士
毕业院校: TheHongKongPolytechnicUniversity,HongKong
研究方向: AerosolRemoteSensing
邮箱: muhammad.bilal@connect.polyu.hk
教育背景:
Ph.D.: Department of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, HongKong (JUL2010–JUL2013)
MS: Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Pakistan (SEP2008–APR2010)
BSc (Hons): Department of Space Science, University of the Punjab (PU), Lahore–Pakistan (JAN2004–FEB2008)
工作经历:
Professor: School of Marine Science, Nanjing University of Information Science and Technology (Oct2017–Present)
Postdoctoral Fellow: Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong (MAR2014–SEP2017)
Research Assistant: Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SEP2013–JAN2014).
Research Associate (part-time): Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (AUG2013).
Administrator: Linux Server for Weather Research & Forecasting Model (WRF–ARW) (JUN2012–MAY2017).
Site Manager: PolyU Aerosol Robotic Network (AERONET) (JUN2014–MAY2017).
Site Operator: PolyU Aerosol Robotic Network (AERONET) (JAN2011–DEC2012).
Site Operator: PolyU Aerosol Lidar (JAN2011–DEC2012).
学术兼职:
Serving as a reviewer for:
1. Remote Sensing of Environment
2. Journal of Geophysical Research: Atmosphere
3. Atmospheric Measurements Technique
4. Remote Sensing
5. Aerosol and Air Quality Research
6. Journal of Atmospheric and Solar-Terrestrial Physics
7. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
8. IEEE Transactions on Geoscience and Remote Sensing
9. Arabian Journal of Geosciences
10. Remote Sensing Applications: Society and Environment
11. Atmospheric Pollution Research
12. European Journal of Remote Sensing
13. Journal of King Saud University - Science
14. Atmosphere
15. Photogrammetric Engineering and Remote Sensing
16. Dynamics of Atmospheres and Oceans
17. Science of the Total Environment
18. Atmospheric Environment
19. ISPRS Journal of Photogrammetry and Remote Sensing
荣誉获奖:
Hong Kong Ph.D. Fellowship 2010/2011: Only I was selected among 300 candidates from Pakistan for this prestigious Fellow (JUL2010–JUL2013).
Received Excellent Poster Award: "Advance training course on Ocean Remote Sensing" held at Chinese University of Hong Kong, 21-26 OCT 2013.
MS Merit Scholarship: COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan (SEP2008–MAR2010).
BS Merit Scholarships: Department of Space Science, University of the Punjab, Lahore, Pakistan (2005–2007).
近期主要论著:
(First author)
1. Bilal, M, Nazeer, M., Qiu, Z., Ding, X., and Wei, J. (2018). Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
2. Bilal, M, Qiu, Z., Campbell, J.R., Scott, S., Shen, J., and Nazeer, M (2018). A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product at 3 km Spatial Resolution. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
3. Bilal, M.*, Nichol, J.E., and Wang. L. (2017). New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product. Remote Sensing of Environment, DOI: 10.1016/j.rse.2017.05.028. (IF ~ 6.265)
4. Bilal, M.*, and Nichol, J.E. (2017). Evaluation of the NDVI–based pixel selection criteria of the MODIS C6 Dark Target and Deep Blue combined aerosol product. IEEE JSTARS, DOI: 10.1109/JSTARS.2017.**. (IF ~ 2.913)
5. Bilal, M.,* Nazeer, M., and Nichol, J.E. (2017). Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters. Atmospheric Research, 186, 43-50. (IF ~ 3.788)
6. Bilal, M., Nichol, J.E. and Scott, N.S. (2017). A New Approach for Estimation of Fine Particulate Concentrations Using Satellite Aerosol Optical Depth and Binning of Meteorological Variables. Aerosol and Air Quality Research, 17, 356–367. (IF ~ 2.606)
7. Bilal, M.,* Nichol, J.E. and Nazeer, M. (2016). Validation of Aqua–MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan, IEEE JSTARS, 9(5), 2074-2080. (IF ~ 2.913)
8. Bilal, M., and Nichol, J.E. (2015). Evaluation of MODIS aerosol retrieval algorithms over the Beijing–Tianjin–Hebei region during low to very high pollution events, Journal of Geophysical Research-Atmosphere, 120, 7941–7957. (IF ~ 3.303)
9. Bilal, M., Nichol, J.E., and Chan, P.W. (2014). Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms, Remote Sensing of Environment, 153, 50–60. (IF ~ 6.265)
10. Bilal, M., Nichol, J.E., Bleiweiss, M.P., Dubois, D.W. (2013).A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces, Remote Sensing of Environment, 136, 135–145. (IF ~ 6.265)
(Co-author)
11. Shen, X., Bilal, M., Qiu, Z., Sun, D., Want, S., and Zhu, W. (2018). Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
12. Nazeer, M. and Bilal, M.* (2018). Evaluation of Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) for water quality monitoring: a case study for the estimation of Salinity. Journal of Ocean University China. (IF ~ 0.606)
13. HC Ho, MS Wong, L Yang, TC Chan, and M Bilal. (2018). Influences of socioeconomic vulnerability and intra-urban air pollution exposure on short-term mortality during extreme dust events. Environmental Pollution, 235, 155-162, doi: 10.1016/j.envpol.2017.12.047. (IF ~ 4.839)
14. HC Ho, MS Wong, L Yang, W Shi, J Yang, M Bilal, and TC Chan. (2018). Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days. Environmental International, 112, 10-22, doi: 10.1016/j.envint.2017.12.001. (IF ~ 7.088)
15. L He, L Wang, A Lin, M Zhang, M Bilal, and J Wei. (2018). Performance of the NPP-VIIRS and Aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
16. J Wei, B Huang, M Bilal, Z Zhang, and L Wang. (2017). Verification, improvement and application of aerosol optical depths in China part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS. Atmospheric Environment, doi: 10.1016/j.atmosenv.2017.11.048. (IF ~ 3.629)
17. M Nazeer, A Waqas, M Bilal, MI Shahzad, MMM Alsahli. (2017). Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters. ISPRS International Journal of Geo-Information, 6(11), 360, doi:10.3390/ijgi**. (IF ~ 1.502)
18. L He, L Wang, A Lin, M Zhang, M Bilal, M Tao. (2017). Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015. Remote Sensing, 9 (7), 746. (IF ~ 3.244)
19. J Wei, B Huang, L Sun, Z Zhang, L Wang, M Bilal. (2017). A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces. Journal of Geophysical Research: Atmospheres, doi: 10.1002/2017JD026922. (IF ~ 3.303)
20. Wang, L., Kisi., O., Hu, B., Bilal, M., Kermani., M.Z., and Li, Hu. (2017). Evaporation modeling using different machine learning techniques. International Journal of Climatology, DOI: 10.1002/joc.5064. (IF ~ 3.609)
21. Nichol, J.E. and Bilal, M. (2016). Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia, Remote Sensing, 8(4), 328, doi: 10.3390/rs**. (IF ~ 3.244)
22. Gong, J., Hu, Y., Liu, M., Bu, R., Chang, Y., Bilal, M., Li, C., Wu, W., Ren, B. (2016). Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China. Polish J. Environ. Stud. (IF ~ 0.793)
23. Bin, Z., Qiang, P., Bilal, M., Qihao, W., Liang, Z., and Nichol, J. (2016). High–resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression, IEEE Geoscience and Remote Sensing Letters, 13(4), 495–499. (IF ~ 2.761)
24. Sun, L., Wei, J., Bilal. M., Tian, X. Jia, C., Guo, Y., and Mi, X. (2015). Aerosol Optical Depth Retrieval over Bright Areas using Landsat 8 OLI Images, Remote Sensing, 8(1), 23. (IF ~ 3.244)
25. Butt, M.J., and Bilal, M. (2011). Application of snowmelt runoff model for water resource management, Hydrological Processes, 25, 3735–3747. (IF ~ 3.014)
教学成果
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基本信息
教师姓名:Muhammad Bilal
职称:教授
所在单位:海洋科学学院
个人简介
姓名: Muhammad Bilal
性别: 男
职称: 教授
出生年月: January 1, 1985
最高学历: 博士
毕业院校: TheHongKongPolytechnicUniversity,HongKong
研究方向: AerosolRemoteSensing
邮箱: muhammad.bilal@connect.polyu.hk
教育背景:
Ph.D.: Department of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, HongKong (JUL2010–JUL2013)
MS: Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Pakistan (SEP2008–APR2010)
BSc (Hons): Department of Space Science, University of the Punjab (PU), Lahore–Pakistan (JAN2004–FEB2008)
工作经历:
Professor: School of Marine Science, Nanjing University of Information Science and Technology (Oct2017–Present)
Postdoctoral Fellow: Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong (MAR2014–SEP2017)
Research Assistant: Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SEP2013–JAN2014).
Research Associate (part-time): Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (AUG2013).
Administrator: Linux Server for Weather Research & Forecasting Model (WRF–ARW) (JUN2012–MAY2017).
Site Manager: PolyU Aerosol Robotic Network (AERONET) (JUN2014–MAY2017).
Site Operator: PolyU Aerosol Robotic Network (AERONET) (JAN2011–DEC2012).
Site Operator: PolyU Aerosol Lidar (JAN2011–DEC2012).
学术兼职:
Serving as a reviewer for:
1. Remote Sensing of Environment
2. Journal of Geophysical Research: Atmosphere
3. Atmospheric Measurements Technique
4. Remote Sensing
5. Aerosol and Air Quality Research
6. Journal of Atmospheric and Solar-Terrestrial Physics
7. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
8. IEEE Transactions on Geoscience and Remote Sensing
9. Arabian Journal of Geosciences
10. Remote Sensing Applications: Society and Environment
11. Atmospheric Pollution Research
12. European Journal of Remote Sensing
13. Journal of King Saud University - Science
14. Atmosphere
15. Photogrammetric Engineering and Remote Sensing
16. Dynamics of Atmospheres and Oceans
17. Science of the Total Environment
18. Atmospheric Environment
19. ISPRS Journal of Photogrammetry and Remote Sensing
荣誉获奖:
Hong Kong Ph.D. Fellowship 2010/2011: Only I was selected among 300 candidates from Pakistan for this prestigious Fellow (JUL2010–JUL2013).
Received Excellent Poster Award: "Advance training course on Ocean Remote Sensing" held at Chinese University of Hong Kong, 21-26 OCT 2013.
MS Merit Scholarship: COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan (SEP2008–MAR2010).
BS Merit Scholarships: Department of Space Science, University of the Punjab, Lahore, Pakistan (2005–2007).
近期主要论著:
(First author)
1. Bilal, M, Nazeer, M., Qiu, Z., Ding, X., and Wei, J. (2018). Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
2. Bilal, M, Qiu, Z., Campbell, J.R., Scott, S., Shen, J., and Nazeer, M (2018). A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product at 3 km Spatial Resolution. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
3. Bilal, M.*, Nichol, J.E., and Wang. L. (2017). New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product. Remote Sensing of Environment, DOI: 10.1016/j.rse.2017.05.028. (IF ~ 6.265)
4. Bilal, M.*, and Nichol, J.E. (2017). Evaluation of the NDVI–based pixel selection criteria of the MODIS C6 Dark Target and Deep Blue combined aerosol product. IEEE JSTARS, DOI: 10.1109/JSTARS.2017.**. (IF ~ 2.913)
5. Bilal, M.,* Nazeer, M., and Nichol, J.E. (2017). Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters. Atmospheric Research, 186, 43-50. (IF ~ 3.788)
6. Bilal, M., Nichol, J.E. and Scott, N.S. (2017). A New Approach for Estimation of Fine Particulate Concentrations Using Satellite Aerosol Optical Depth and Binning of Meteorological Variables. Aerosol and Air Quality Research, 17, 356–367. (IF ~ 2.606)
7. Bilal, M.,* Nichol, J.E. and Nazeer, M. (2016). Validation of Aqua–MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan, IEEE JSTARS, 9(5), 2074-2080. (IF ~ 2.913)
8. Bilal, M., and Nichol, J.E. (2015). Evaluation of MODIS aerosol retrieval algorithms over the Beijing–Tianjin–Hebei region during low to very high pollution events, Journal of Geophysical Research-Atmosphere, 120, 7941–7957. (IF ~ 3.303)
9. Bilal, M., Nichol, J.E., and Chan, P.W. (2014). Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms, Remote Sensing of Environment, 153, 50–60. (IF ~ 6.265)
10. Bilal, M., Nichol, J.E., Bleiweiss, M.P., Dubois, D.W. (2013).A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces, Remote Sensing of Environment, 136, 135–145. (IF ~ 6.265)
(Co-author)
11. Shen, X., Bilal, M., Qiu, Z., Sun, D., Want, S., and Zhu, W. (2018). Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
12. Nazeer, M. and Bilal, M.* (2018). Evaluation of Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) for water quality monitoring: a case study for the estimation of Salinity. Journal of Ocean University China. (IF ~ 0.606)
13. HC Ho, MS Wong, L Yang, TC Chan, and M Bilal. (2018). Influences of socioeconomic vulnerability and intra-urban air pollution exposure on short-term mortality during extreme dust events. Environmental Pollution, 235, 155-162, doi: 10.1016/j.envpol.2017.12.047. (IF ~ 4.839)
14. HC Ho, MS Wong, L Yang, W Shi, J Yang, M Bilal, and TC Chan. (2018). Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days. Environmental International, 112, 10-22, doi: 10.1016/j.envint.2017.12.001. (IF ~ 7.088)
15. L He, L Wang, A Lin, M Zhang, M Bilal, and J Wei. (2018). Performance of the NPP-VIIRS and Aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin. Remote Sensing, doi: 10.3390/rs**. (IF ~ 3.244)
16. J Wei, B Huang, M Bilal, Z Zhang, and L Wang. (2017). Verification, improvement and application of aerosol optical depths in China part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS. Atmospheric Environment, doi: 10.1016/j.atmosenv.2017.11.048. (IF ~ 3.629)
17. M Nazeer, A Waqas, M Bilal, MI Shahzad, MMM Alsahli. (2017). Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters. ISPRS International Journal of Geo-Information, 6(11), 360, doi:10.3390/ijgi**. (IF ~ 1.502)
18. L He, L Wang, A Lin, M Zhang, M Bilal, M Tao. (2017). Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015. Remote Sensing, 9 (7), 746. (IF ~ 3.244)
19. J Wei, B Huang, L Sun, Z Zhang, L Wang, M Bilal. (2017). A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces. Journal of Geophysical Research: Atmospheres, doi: 10.1002/2017JD026922. (IF ~ 3.303)
20. Wang, L., Kisi., O., Hu, B., Bilal, M., Kermani., M.Z., and Li, Hu. (2017). Evaporation modeling using different machine learning techniques. International Journal of Climatology, DOI: 10.1002/joc.5064. (IF ~ 3.609)
21. Nichol, J.E. and Bilal, M. (2016). Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia, Remote Sensing, 8(4), 328, doi: 10.3390/rs**. (IF ~ 3.244)
22. Gong, J., Hu, Y., Liu, M., Bu, R., Chang, Y., Bilal, M., Li, C., Wu, W., Ren, B. (2016). Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China. Polish J. Environ. Stud. (IF ~ 0.793)
23. Bin, Z., Qiang, P., Bilal, M., Qihao, W., Liang, Z., and Nichol, J. (2016). High–resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression, IEEE Geoscience and Remote Sensing Letters, 13(4), 495–499. (IF ~ 2.761)
24. Sun, L., Wei, J., Bilal. M., Tian, X. Jia, C., Guo, Y., and Mi, X. (2015). Aerosol Optical Depth Retrieval over Bright Areas using Landsat 8 OLI Images, Remote Sensing, 8(1), 23. (IF ~ 3.244)
25. Butt, M.J., and Bilal, M. (2011). Application of snowmelt runoff model for water resource management, Hydrological Processes, 25, 3735–3747. (IF ~ 3.014)
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更多蔡孝宝助教(学生思想政治教育系列)暂无内容个人信息性别:男学位:法学硕士学位所在单位:自动化学院查看更多研究方向查看更多>社会兼职查看更多论文成果|科研项目|教育经历|工作经历暂无内容暂无内容2017.9-2020.3 南京航空航天大学 > 经济法学 >  ...南京信息工程大学 本站小编 Free考研考试 2021-03-28南京信息工程大学自动化学院导师教师师资介绍简介-蔡骏
蔡骏已经得到个称赞给我点赞所在单位:自动化学院职务:江苏省气象能源利用与控制工程技术研究中心副主任办公地点:C411性别:男职称:教授在职信息:在岗学科:电力电子与电力传动电机与电器个人简介研究方向社会兼职教育经历工作经历团队成员其他联系方式2012.09毕业于南京航空航天大学自动化学院, ...南京信息工程大学 本站小编 Free考研考试 2021-03-28