姓 名 薛勇 性 别 男
出生年月 1965年6月 籍贯 江苏徐州市
民 族 汉族 政治面貌 群众
最后学历 博士研究生 最后学位
技术职称 教授 导师类别 博、硕导
行政职务 无 Email yxue@cumt.ac.uk
工作单位 中国矿业大学环境和测绘学院 邮政编码 221116
通讯地址 江苏省徐州市大学路1号中国矿业大学南湖校区
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个人简介
薛勇，男，1965.6，二级教授，北京大学理学学士，理学硕士，英国Dundee大学博士（PhD），中国矿业大学能源和环境遥感大数据研究中心主任。主要研究方向是定量遥感和高性能地学计算，特别是气溶胶遥感反演和遥感地表大气边界层能量交换，和地球大数据方面的研究。承担与参与英国自然基金委员会、欧盟、欧空局、中国863、973、自然科学基金面上项目等多项项目。1999年获教育部“****”****、2000年获中科院“****”资助、2010年获国家科学技术进步奖二等奖，担任SCI收录期刊《International Journal of Remote Sensing》、《International Journal of Digital Earth》、《Future Generation Computer Systems》等国际期刊编委；英国皇家特许物理学家(CPhys)、IEEE地学遥感学会高级会员。1990年以来已发表学术论文260多篇（国际期刊和国际会议论文），发表专著两部（合著），其中被SCI收录90多篇，11篇文章的影响因子大于5.0。发表文章共被引用1688次，在不同空间分辨率和时间分辨率的陆地上空大气气溶胶定量遥感研究领域具有原始创新性，建立了我国第一个自主研发的长时间序列（空间分辨率：10km和1km）气溶胶光学厚度数据集（China Collection 2.0和2.1），并且向社会公开发布。在大气边界层能量交换建模方面具有原始创新性，建立的定量模型文章单篇已经被引用156次。从1998年以来作为博士生导师，已经培养了博士生23人，硕士生9人。为中科院遥感地球所培养的博士生和硕士生中一人2014年获得了中科院优秀博士论文奖，共6人获得中国科学院院长优秀奖，5人获得优秀毕业生奖。两名博士生分别在2012年和2017年获得了中科院BHP Billiton奖学金，一名博士生在2012年获得了中科院朱李月华优秀博士生奖（非西部地区）。

获奖、荣誉称号
2010年国家科学技术进步奖二等奖“多平台多波段对地观测信息处理技术与应用系统”，2014年获中国科学院“优秀研究生指导教师”荣誉称号，2012年和2017年获得了中国科学院研究生院BHP Billiton导师科研奖。
社会、学会及学术兼职
SCI收录期刊《International Journal of Remote Sensing》编委；SCI收录期刊《International Journal of Digital Earth》编委（2006-2016）；SCI收录期刊《Future Generation Computer Systems》特邀编委；英国皇家特许物理学家(CPhys)；英国皇家物理研究所会员(MInstP)；IEEE地学遥感学会高级会员（Senior IEEE）；2005年 - 2007年“国际计算科学及应用大会”（ICCSA）组委会成员；2004年 - 2009年“国际计算科学大会”（ICCS）国际技术委员会委员；“地学计算分会”主席；IEEE/IGARSS “高性能地学计算和遥感”（2009），“静止卫星的数据定量反演和产品”（2011），“静止卫星的数据定量反演和产品”和“空间观测与公共健康”（2012）特邀分会主席。
研究领域
遥感与地理信息系统研究，主要研究方向为定量遥感和高性能地学计算。特别是陆地大气气溶胶定量遥感反演和遥感地表大气边界层能量交换，和地球大数据方面的研究
科研项目
作为co-PI的英国自然基金委项目1项、欧盟FP7计划项目1项和欧空局全球变化气溶胶项目1项。先后主持国家自然科学基金面上项目4项和863计划项目1项。国家重点研发计划项目课题负责人2项、基金委重大项目课题负责人1项、国家自然基金国际合作重大项目课题负责人1项、973计划项目课题负责人2项、中科院知识创新工程重大方向项目课题负责人1项和中国院Ａ类战略性先导科技专项课题负责人1项。
发表论文
[1.] Lu She, Yong Xue, Xihua Yang, John Leys, Jie Guang, Yahui Che, Cheng Fan, Yanqing Xie, Ying Li, Joint Retrieval of Aerosol Optical Depth and Surface Reflectance over Land Using Geostationary Satellite Data. IEEE Transactions on Geoscience and Remote Sensing. Vol. 57, No. 3, March 2019, pp1489-1501. (DOI: 10.1109/TGRS.2018.**) (IF: 5.630)
[2.] Haixia Bi, Feng Xu, Zhiqiang Wei, Yong Xue, and Zongben XuAn Active Deep Learning Approach for Minimally-Supervised PolSAR Image Classification, IEEE Transactions on Geoscience and Remote Sensing. (In press), DOI: 10.1109/TGRS.2019.**. (IF: 5.630)
[3.] Zheng Shi, Tingyan Xing, Jie Guang, Yong Xue, Yahui Che, 2019, Aerosol Optical Depth over the Arctic Snow- Covered Regions Derived from Dual-Viewing Satellite Observations. Remote Sens. 2019, 11(8), 891; (doi: 10.3390/rs**) (IF: 4.118)
[4.] Yahui Che, Jie Guang, Gerrit de Leeuw, Yong Xue, Ling Sun, and Huizheng Che, 2019, Investigations into the Development of a Satellite-Based Aerosol Climate Data Record using ATSR-2, AATSR and AVHRR data. Atmospheric Measurement Techniques Discuss., (https://doi.org/10.5194/amt-2019-26). (IF: 3.400)
[5.] Jia Liu, Yong Xue, Kaijun Ren, Junqiang Song, Christopher Windmill, Patrick Merritt, 2019, High Performance Time Series Quantitative Retrieval from Satellite Images on a GPU Cluster. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, (DOI: 10.1109/JSTARS.2019.**). (Impact Factor: 3.392)
[6.] Yahui Che, Yong Xue, Jie Guang, Lu She, Jianping Guo, 2018, Evaluation of the AVHRR DeepBlue aerosol optical depth dataset over mainland China. ISPRS Journal of Photogrammetry and Remote Sensing. Volume 146, December 2018, Pages 74-90. (https://doi.org/10.1016/j.isprsjprs.2018.09.004) (IF: 6.942)
[7.] Ying Li, Yong Xue, Jie Guang, Linlu Mei, She Lu, Cheng Fan, Guili Chen, 2018, Ground-Level PM2.5 Concentration Estimation from Satellite Data in the Beijing Area Using a Specific Particle Swarm Extinction Mass Conversion Algorithm. Remote Sensing, 10, 1906 (doi:10.3390/rs**) (Impact Factor: 3.406)
[8.] Lu She, Yong Xue, Jie Guang, Yahui Che, Cheng Fan, Ying Li, and Yanqing Xie: Towards a comprehensive view of dust events from multiple satellite and ground measurements: exemplified by the May 2017 East Asian dust storm. Natural Hazards and Earth System Sciences, 18, 1–15, 2018 (https://doi.org/10.5194/nhess-18-1-2018) (Impact Factor: 2.281)
[9.] Yanqing Xie, Yong Xue, Yahui Che, Jie Guang, Linlu Mei, Dave Voorhis, Cheng Fan, Lu She, and Hui Xu, 2018, Ensemble of ESA/AATSR AOD products based on the likelihood estimate method with uncertainties. IEEE Transactions on Geoscience and Remote Sensing. Volume: 56, Issue:2 (February 2018), Page(s): 997-1007 (DOI:10.1109/TGRS.2017.**) (IF: 4.942)
[10.] Yahui Che, Linlu Mei, Yong Xue, Jie Guang, Lu She, Ying Li, 2018, Validation of aerosol products from AATSR and MERIS/AATSR synergy algorithms - Part 1: global evaluation. Remote Sensing, 10(9), 1414. (https://doi.org/10.3390/rs**) (IF: 3.406)
[11.] Lu She, Yong Xue, Xihua Yang, Jie Guang, Ying Li, Yahui Che, Cheng Fan, Yanqing Xie, “Dust detection and dust intensity estimation using Himawari-8/AHI observation”. Remote Sensing 2018, 10, 490. (doi:10.3390/rs**) (Impact Factor: 3.244)
[12.] Guili Chen, Jie Guang, Yong Xue, Ying Li, Yahui Che, and Shaoqi Gong, 2018, A Physical-based PM2.5 Estimation Method Using AERONET Data in Beijing Area. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 11 Issue: 6 (June 2018), pp.1957-1965. (DOI: 10.1109/JSTARS.2018.**). (Impact Factor: 2.913)
[13.] Yong Xue, Xingwei He, Gerrit de Leeuw, Linlu Mei, Yahui Che, Wayne Rippin, Jie Guang, Yincui Hu, 2017, Long-time series aerosol optical depth retrieval from AVHRR data over land in North China and Central Europe. Remote Sensing of Environment, Vol. 198, Pages 471 - 489. (DOI:10.1016/j.rse.2017.06.036) (Impact Factor: 6.265)
[14.] Lu She, Linlu Mei, Yong Xue, Yahui Che, Jie Guang, 2017, SAHARA: a Simplified AtmospHeric correction AlgoRithm for Chinese gAofen data: 1. Aerosol algorithm. Remote Sensing, 9(3), 253; (doi:10.3390/rs**) (Impact Factor 3.036)
[15.] Jia Liu, Longli Liu, Yong Xue, Jing Dong, Yincui Hu, Richard Hill, Jie Guang and Chi Li, 2017, Grid Workflow Validation Using Ontology-Based Tacit Knowledge: A Case Study for Quantitative Remote Sensing Applications, Computers and Geosciences, Volume 98, January 2017, Pages 46–54. (http://dx.doi.org/10.1016/j.cageo.2016.10.002) (IF: 2.474)
[16.] Che, Y., Xue, Y., Mei, L., Guang, J., She, L., Guo, J., Hu, Y., Xu, H., He, X., Di, A., and Fan, C.: Technical note: Intercomparison of three AATSR Level 2 (L2) AOD products over China, Atmos. Chem. Phys., 16, 9655-9674, doi:10.5194/acp-16-9655-2016, 2016. (IF: 5.114)
[17.] Di, Aojie; Xue, Yong; Yang, Xihua; Leys, John; Guang, Jie; Mei, Linlu; Wang, Jingli; She, Lu; Hu, Yincui; He, Xingwei; Che, Yahui; Fan, Cheng, 2016, Dust Aerosol Optical Depth Retrieval and Dust Storm Detection for Xinjiang Region Using Indian National Satellite Observations. Remote Sensing, vol. 8, no. 9: 702. (doi:10.3390/rs**) (IF: 3.036)
[18.] Jia Liu, Dustin Feld, Yong Xue, Jochen Garcke, Thomas Soddemann, Peiyuan Pan, 2016, An efficient geosciences workflow on multi-core processors and GPUs: a case study for Aerosol Optical Depth retrieval from MODIS satellite data. International Journal of Digital Earth, (DOI: 10.1080/**.2015.**) (IF: 3.291)
[19.] H. Xu, J. Guang, Y. Xue, Gerrit de Leeuw, Y. H. Che, Jianping Guo, X.W. He, T.K. Wang, 2015, A Consistent Aerosol Optical Depth (AOD) Dataset over Mainland China by Integration of Several AOD Products. Atmospheric Environment. Volume 114, August 2015, Pages 48–56. (doi: 10.1016/j.atmosenv.2015.05.023) (IF: 3.281)
[20.] Chi Li, Yong Xue, Quanhua Liu, Karim Ouazzane, and Jiahua Zhang, 2015, Using SeaWiFS Measurements to Evaluate Radiometric Stability of Pseudo-invariant Calibration Sites. IEEE Geoscience and Remote Sensing Letters, 12(1), pp. 125-129. (DOI: 10.1109/LGRS.2014.**) (IF: 2.095)
[21.] Sundström, A.-M., Arola, A., Kolmonen, P., Xue, Y., de Leeuw, G., and Kulmala, M.: On the use of a satellite remote-sensing-based approach for determining aerosol direct radiative effect over land: a case study over China, Atmos. Chem. Phys.,15, 505-518, doi:10.5194/acp-15-505-2015, 2015. (IF: 5.053)
[22.] Tomasi C., Kokhanovsky, A.A., Lupi, A., Ritter, C., Smirnov, A., O'Neill N.T., Stone, R.S., Holben, B.N., Nyeki, S., Wehrli C., Stohl, A., Mazzola, M., Lanconelli, C., Vitale, V., Stebel, K., Aaltonen,V., de Leeuw, G., Rodriguez, E., Herber, A.B., Radionov, V.F., Zielinski, T., Petelski, T., Sakerin, S.M., Kabanov, D.M., Xue, Y., Mei, L.L., Istomina, L., Wagener, R., McArthur, B., Sobolewski. P.S., Kivi, R., Courcour, Y., Larouche, P., Stephen, B. and Piketh, J., 2014, Aerosol remote sensing in polar regions. Earth Science Review, Volume 140, January 2015, Pages 108–157. (IF: 7.885)
[23.] Jia Liu, Yong Xue, Dominic Palmer-Brown, Ziqiang Chen, Xingwei He, 2015, High-throughput Geocomputational Workflows in a Grid Environment. IEEE Computer. Vol. 48, Issue 11, Pages 70-80.(DOI: 10.1109/MC.2015.331) (IF: 1.443)
[24.] Longli Liu, Yong Xue, Jie Guang, Jia Liu, 2015, Description of an ontology-based remote sensing model service with an integrated framework environment for remote sensing applications. Remote Sensing Letters, Volume 6, Issue 10, pages 804-813. (DOI: 10.1080/**X.2015.**). (IF: 1.573)
[25.] J. Liu, D. Feld, Y. Xue, J. Garcke, and T. Soddemann, 2015, "Multicore Processors and Graphics Processing Unit Accelerators for Parallel Retrieval of Aerosol Optical Depth From Satellite Data: Implementation, Performance, and Energy Efficiency”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 8, Issue: 5, Page(s):2306 – 2317. (doi: 10.1109/JSTARS.2015.**) (IF: 3.026)
[26.] Aojie Di, Yong Xue, Chi Li, Jie Guang, Peiyuan Pan, 2014, Estimation of Soil Thermal Inertia from Geostationary Meteosat Second Generation (MSG) data. Remote Sensing Letters, 5:8, 763-772. (doi: 10.1080/**X.2014.967879) (IF: 1.573)
[27.] Mei, L., Xue, Y., Kokhanovsky, A. A., von Hoyningen-Huene, W., de Leeuw, G., and Burrows, J.P.: Retrieval of aerosol optical depth over land surfaces from AVHRR data, 2014, Atmospheric Measurement Techniques, 7, 2411–2420. (doi:10.5194/amt-7-1-2014) (IF: 2.929)
[28.] Hui Xu; Xavier Ceamanos; Jean-Louis Roujean; Dominique Carrer; Yong Xue, 2014, Can satellite-derived AOD quantify the surface aerosol radiative forcing (SARF)? Evaluation of AOD products and application to calculate direct SARF. Atmospheric Research. Vol. 150, Pages 151–167. (IF: 2.844)
[29.] Y. Xue, H. Xu, J. Guang, L. Mei, J. Guo, C. Li, R. Mikusauskas and X. He, 2014, Observation of an agricultural biomass burning in central and east China using merged aerosol optical depth data from multiple satellite missions. International Journal of Remote Sensing. Vol. 35, Issue 16, pages 5971-5983.(DOI: 10.1080/**X.2014.943321) (IF: 1.652)
[30.] Chi Li, Yong Xue, Quanhua Liu, Jie Guang, Xingwei He, Jiahua Zhang, Tingkai Wang, Xinjie Liu, 2014, Post Calibration of Channels 1 and 2 of Long-term AVHRR Data Record Based on SeaWiFS Data and Pseudo-invariant Targets. Remote Sensing of Environment, Vol. 150, Pages 104–119. (DOI: 10.1016/j.rse.2014.04.020). (IF: 6.393)
[31.] Yong Xue, Xingwei He, Hui Xu, Jie Guang, Jianping Guo, and Linlu Mei, 2014, CHINA COLLECTION 2.0: The Aerosol Optical Depth Dataset from the Synergetic Retrieval of Aerosol Properties Algorithm. Atmospheric Environment, Volume 95, Pages 45–58. (DOI: 10.1016/j.atmosenv.2014.06.019) (IF: 3.281)
[32.] Chi Li, Yong Xue, Wolfgang von Hoyningen-Huene, Jiahua Zhang, Peiyuan Pan, 2014, Quantitative Evaluation of Uncertainties in Satellite Retrieval of Dust-like Aerosols Induced by Spherical Assumption. Journal of Quantitative Spectroscopy and Radiative Transfer, 136, 45–57. (DOI:10.1016/j.jqsrt.2014.01.003) (IF: 2.645)
[33.] Leiku Yang, Yong Xue, Jie Guang, Hassan Kazemian, Jiahua Zhang, and Chi Li, 2014, Improved Aerosol Optical Depth and Ångstrom Exponent Retrieval over Land from MODIS Based on the Non-Lambertian Forward Model. IEEE Geoscience and Remote Sensing Letters, Vol. 11, No. 9, September 2014, 1629-1633. (DOI: 10.1109/LGRS.2014.**). (IF: 2.095)
[34.] Linlu Mei, Yong Xue, Gerrit de Leeuw, Wolfgang von Hoyningen-Huene, Alexander A. Kokhanovsky, Larysa Istomina, Jie Guang, John P. Burrows, 2013, Aerosol optical depth retrieval in the Arctic region using MODIS data over snow. Remote Sensing of Environment, 128, 234–245. (DOI: 10.1016/j.rse.2012.10.009) (IF: 4.769)
[35.] Yingjie Li, Yong Xue, Gerrit de Leeuw, Chi Li, Leiku Yang, Tingting Hou, Farhi Marir, Retrieval of aerosol optical depth and surface reflectance over land from NOAA AVHRR data. Remote Sensing of Environment, 133, 1-20, 2013. (doi:10.1016/j.rse.2013.01.020) (IF: 4.769)
[36.] Linlu Mei, Yong Xue, Alexander A. Kokhanovsky, Wolfgang von Hoyningen-Huene, Larysa Istomina, Gerrit de Leeuw, John P. Burrows, Jie Guang, and Yanguo Jing, 2013, Aerosol optical depth retrieval over snow using AATSR data. International Journal of Remote Sensing. 34:14, 5030-5041. (DOI:10.1080/**.2013.786197) (IF: 1.138)
[37.] Jie Guang, Yong Xue, Leiku Yang, Linlu Mei, and Xingwei He, 2013, A Method for Retrieving Land Surface Reflectance Using MODIS Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(3), 1564 - 1570. (doi: 10.1109/JSTARS.2013.**) (IF: 2.827)
[38.] Quanhua Liu, Yong Xue, Chi Li, 2013, Sensor based clear and cloud radiance calculations. Applied Optics. Vol. 52, Issue 20, pp.4981-4990. (doi: 10.1364/AO.52.004981) (IF: 1.689)
[39.] Mei, L., Xue, Y., de Leeuw, G., Holzer-Popp, T., Guang, J., Li, Y., Yang, L., Xu, H., Xu, X., Li, C., Wang, Y., Wu, C., Hou, T., He, X., Liu, J., Dong, J., and Chen, Z., 2012, Retrieval of aerosol optical depth over land based on a time series technique using MSG/SEVIRI data. Atmospheric Chemistry and Physics, 12, 9167-9185. (doi:10.5194/acp-12-9167-2012). (IF: 5.520)
[40.] Yong Xue, Xiaowen Li, Zengyuan Li and Cunxiang Cao, 2012, Prior Knowledge Based Retrieval and Validation of Information from Remote Sensing Data at Various Scales. International Journal of Remote Sensing. 33(3), pp. 665-673. (DOI: 10.1080/**.2011.577839)(IF: 1.117)
[41.] Yingjie Li, Yong Xue, Xingwei He, Jie Guang, 2012, High-Resolution Aerosol Remote Sensing Retrieval over Urban Areas by Synergetic use of HJ-1 CCD and MODIS Data. Atmospheric Environment,46, 173-180. (DOI: 10.1016/j.atmosenv.2011.10.002) (IF: 3.226)
[42.] Linlu Mei, Yong Xue, Hui Xu, Jie Guang, Yingjie Li, Ying Wang, Jianwen Ai, Yang Qi, Shuzheng Jiang, Xingwei He, 2012, Validation and analysis of aerosol optical thickness retrieval over land. International Journal of Remote Sensing. 33(3), 781-803. (DOI: 10.1080/**.2011.577831) (IF: 1.117)
[43.] Ying Wang, Yong Xue, Yingjie Li, Jie Guang, Linlu Mei, Hui Xu and Jianwen Ai, 2012, Prior knowledge supported aerosol optical depth retrieval over land surface at 500m spatial resolution with MODIS data. International Journal of Remote Sensing. 33(3), pp.674-691. (doi: 10.1080/**.2011.577832) (IF: 1.117)
[44.] J. Guang, Y. Xue, Y. J. Li, S. L. Liang, L.L. Mei and H. Xu, 2012, Retrieval of Aerosol Optical Depth over Bright Land Surfaces by Coupling Bidirectional Reflectance Distribution Function Model and Aerosol Retrieval Model. Remote Sensing Letter, 3 (7), 577-584. (10.1080/**.2011.642322) (IF: 0.704)
[45.] Mei, L., Xue, Y., de Leeuw, G., Guang, J., Wang, Y., Li, Y., Xu, H., Yang, L., Hou, T., He, X., Wu, C., Dong, J., and Chen, Z., 2011: Integration of remote sensing data and surface observations to estimate the impact of the Russian wildfires over Europe and Asia during August 2010, Biogeosciences, 8, 3771–3791. (doi:10.5194/bg-8-3771-2011) (IF: 3.859)
[46.] J. Guang, Y. Xue, Y. Wang, Y. J. Li, L. L. Mei, H. Xu, S. L. Liang, J. D. Wang, and L. Y. Bai, 2011, Simultaneous determination of aerosol optical thickness and surface reflectance using ASTER visible to near-infrared data over land. International Journal of Remote Sensing, Volume 32, Issue 22, pages 6961-6974. (DOI:10.1080/**.2011.551846)
[47.] Guoyin Cai, Mingyi Du & Yong Xue, 2011, Monitoring of urban heat island effect in Beijing combining ASTER and TM data. International Journal of Remote Sensing, Volume 32, Issue 5, pages 1213-1232. (DOI:10.1080/0**69079)
[48.] Yong Xue, Ziqiang Chen, Hui Xu, Jianwen Ai, Shuzheng Jiang, Yingjie Li, Ying Wang, Jie Guang, Linlu Mei, Xijuan Jiao, Xingwei He, Tingting Hou，2011, A High Throughput Geocomputing System for Remote Sensing Quantitative Retrieval and a Case Study. International Journal of Applied Earth Observation and Geoinformation,13 (1), pp.902–911. (DOI:10.1016/j.jag.2011.06.006) (IF: 3.93)
[49.] Yong Xue, Dominic Palmer-Brown, Huadong Guo, 2011, The Use of High Performance and High Throughput Computing for the Fertilization of Digital Earth and Global Change Study. International Journal of Digital Earth, Vol. 4, No. 3, pp185-210. (DOI: 10.1080/**.2010.535569)
[50.] Yong Xue, Jianwen Ai, Wei Wan, Huadong Guo, Yingjie Li, Ying Wang, Jie Guang, Linlu Mei, and Hui Xu, 2011, Grid-Enabled High-Performance Quantitative Aerosol Retrieval from Remotely Sensed Data. Computers & Geosciences, vol. 37, pp.202-206. (DOI:10.1016/j.cageo.2010.07.004). (IF: 2.533)
[51.] Yong Xue, Jianwen Ai, Wei Wan, Yingjie Li, Ying Wang, Jie Guang, Linlu Mei, Hui Xu, Qiang Li, and Linyan Bai, 2010, Workload and Task Management of Grid- Enabled Quantitative Aerosol Retrieval from Remotely-Sensed Data. Future Generation Computer Systems, Vol. 20, pp.590-598. (DOI: 10.1016/j.future.2009.11.003) (IF: 3.997)
[52.] Jianping Guo, Huadong Xiao, Yong Xue, Huizheng Che, Xiaoye Zhang, Chunxiang Cao, Jie Guang and Hao Zhang, 2009, A new method to retrieve aerosol optical thickness from satellite images on a parallel system. Particuology, Volume 7, Issue 5, Pages 392-398.(doi:10.1016/j.partic.2009.07.003)
[53.] Yong Xue, Jianping Guo, and Xiaoye Zhang, 2009, Aerosol Optical Thickness Retrieval over non-Lambertian Land Surface with Synergistic Use of AATSR Radiance Measurements and MODIS Derived Albedo Model Parameters. Atmospheric Research, Vol. 93, pp.736–746. (DOI: 10.1016/j.atmosres.2009.02.013) (IF: 3.778)
[54.] Yong Xue, Yingjie Li, Jie Guang, Xiaoye Zhang and Jianping Guo, 2008, Small Satellite Remote Sensing and Applications - History, Current and Future. International Journal of Remote Sensing, Vol. 29(15), pp4339-4372.
[55.] Yong Xue, Wei Wan, Yingjie Li, Jie Guang, Linyian Bai, Ying Wang and Jianwen Ai, 2008, A Data Intensive Scientific Computing Framework for Quantitative Retrieval of Geophysical Parameters using Satellite Data, IEEE Computer, Vol. 41(4), pp.33-40.
[56.] Yong Xue, Huadong Guo, Wei Wan, Jianqin Wang and Ying Luo, 2008, Overview and preliminary idea for the building Digital Earth with grid computing technology. International Journal of Digital Earth, Vol. 1, No. 2, June 2008, 1-6.
[57.] Cai, Guoyin, Xue, Yong, Hu, Yincui, Wang, Ying, Guo, Jiangping, Qi, Shuhua, 2007, Quantitative Study of Net Radiation from MODIS Data in the Lower Boundary Layer in Poyang Lake Area of Jiangxi Province, China. International Journal of Remote Sensing. Volume 28, Issue 19, 2007, Pages 4381 – 4389. (DOI: 10.1080/0**44831)
[58.] Cai, G., Xue, Y., Hu, Y., Wang, Y., Guo, J., Luo, Y., Wu, C., Zhong, S. and Qi, S., 2007, Soil moisture retrieval from MODIS data in Northern China Plain using thermal inertia model, International Journal of Remote Sensing, Volume 28, Issue 16, Pages 3567 – 3581. (DOI: 10.1080/0**34886)
[59.] Jiakui Tang, Yong Xue, Tong Yu, Yanning Guan, Guoyin Cai& Yincui, Hu, 2006, Aerosol Optical Thickness Determination for Land Surface from MODIS data. Science in China (Ser. D Earth Sciences), Vol. 49, Issue 6, Pages 641-649.
[60.] Chaolin Wu, Yong Xue, Jianqin Wang, and Ying Luo, 2006, A Grid-Based Programming Environment for Remotely Sensed Data Processing. Lecture Notes in Computer Science, Vol. 3842, pp.560 – 564.
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出版专著和教材
[1.] Cheng, Jicheng, Guo, Huadong, and Xue, Y., Digital Earth, Scientific Press, 2007
[2.] Xue, Y. and Cracknell, A. P., 1996, The Earth's surface temperature. In The Determination of Geophysical Parameters from Space, edited by N. E. Fancey, I. D. Gardiner and R. A. Vaughan (Edinburgh: SUSSP Publications; London: IOP Publishing), pp. 209-240.

科研创新
陆地地表气溶胶遥感定量反演系统V1.0 软件登记 负责人
教学活动
I am a fellow of the Higher Education Academy (Institute of Learning and Teaching), UK admitted under the category of “Initial Entry Route for Experienced Staff”. I have been involved in teaching, learning and supporting activities in higher education institutions since 1989. I have extensive experience on small group teaching as well as large group teaching. My teaching, learning and support activities extend from postgraduate teaching to undergraduate teaching.
2009 - 2016 Artificial Intelligence for Games – a core advanced module for BSc students; 2012 - 2016 C++ Programming for Games – a core advanced module for BSc students; 2002 - 2016 Specialist Programming C++ - an advanced module for BSc students 2009 - 2013 Professional Industrial Placements – a core module for Foundation degree students; 2009 - 2012 Communications Networks – a core module for BSc students; 2006 - 2013 Quantitative Remote Sensing – a core module for postgraduate students; 2006 – 2011 Research and Development Skills – a core module for MSc students; 2003 - 2008 Algorithms and Data Structures - an advanced module for BSc students; 2000 - 2008 Computer Systems Architecture - a core module for BSc students; 2002 - 2003 Programming the Internet - an advanced module for BSc students; 2000 - 2002 Introduction to Computer Science - a core preliminary module for BSc students; 1988 - 1991 Remote Sensing Physics - a core module for MSc students; Introduction to Remote Sensing and GIS - an optional module for undergraduate and postgraduate students in Peking University.

指导学生情况
Degree Current Completed Total to Date
PhD 6 25 31
MPhil79 16

我的团队
中国矿业大学能源与环境遥感大数据研究中心（以下简称，IRSED）由********薛勇教授领衔，目前由1名二级教授、4名副教授（秦凯副教授，张华副教授，闫庆武副教授和袁丽梅副教授）组成，博士硕士研究生10余名。课题组面向美丽中国、大气污染防治、自主应对气候变化、能源革命与低碳发展等国家重大需求，以定量遥感为主要研究手段并结合地球科学大数据，围绕煤炭等化石能源生产消费有关的大气污染、土壤退化、生态破坏等问题，重点从事定量遥感反演与不确定性、长时间序列气溶胶与痕量气体遥感产品反演、时空关联性建模等研究方向。课题组在国家“双一流”建设工程、江苏省优势学科建设工程的经费支持下，在中国南北过渡地带淮海经济区中心城市——徐州，建设能源和环境遥感大数据发布中心，向全球发布定量遥感产品数据服务，第一期发布我国第一个自主研发的长时间序列（空间分辨率：10公里和1公里；时间尺度：2002年8月－当前）气溶胶光学厚度数据集（China Collection 2.0和China Collection 2.1），1983年以来的AVHRR数据反演的陆地气溶胶光学厚度数据集和静止卫星数据反演的小时时间分辨率的气溶胶数据集；建有大气遥感地面观测站，安装有全自动太阳光度计、气溶胶粒径谱仪、黑碳仪、多轴差分光学吸收光谱仪、大孔径闪烁仪、涡动相关系统、能见度仪等大气环境观测设备，已经累计5年以上的观测数据。