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基本信息Basic information
姓名：陈镜明
职称：教授
硕导/博导：博导
最高学位：博士
行政职务：无
其它兼职：加拿大多伦多大学，教授
加拿大麦克马斯特大学，客座教授
南京大学，客座教授
南京信息大学，客座教授
南京大学国际地球系统科学研究所，学术委员会主任
单位：福建师范大学地理科学学院
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联系方式Contact
通讯地址：福建师范大学仓山校区艺术基地美术楼405
邮政编码：350007
办公电话：
电子邮箱：chenjm@fjnu.edu.cn
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研究方向Research Interests
主要从事植被遥感及陆地生态系统碳水循环等研究。
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个人履历Resume
教育：
博士 1986年 英国里丁大学 气象学专业
学士 1982年 南京气象学院（现南京信息工程大学） 气象学

工作：
1986 - 1988 中国科学院北京地理学院 ，研究员
1988 - 1989 中国科学院北京地理学院，高级研究员
1989 - 1991 英属哥伦比亚大学，博士后
1991 - 1993 英属哥伦比亚大学，研究助理
1993 - 1997 加拿大遥感中心，研究员
1994 - 2000 加拿大渥太华大学，客座教授
1996 - 2009 加拿大约克大学，客座教授
1997 - 2000 加拿大遥感中心，高级研究员
1999 至今 南京大学，客座教授
2000 - 2000 加拿大遥感中心，首席研究员
2000 至今 加拿大多伦多大学，教授
2007 至今 南京信息大学，客座教授
2007 - 2011 南京信息大学应用气象学院，副院长
2007 至今 南京大学国际地球系统科学研究所，学术委员会主任
2008 至今 加拿大麦克马斯特大学，客座教授
2010 - 2011 加拿大多伦多大学环境中心，教务助理
2012 - 2014 加拿大多伦多大学地理与规划系，副主席
2020 至今 福建师范大学地理科学学院，教授
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个人简介Brief
陈镜明，加拿大高级首席科学家(2003)，加拿大皇家科学院院士(2006)，多伦多大学地理与规划系终身教授，教育部****“讲座教授”，国际地球系统科学研究所（ESSI）学术委员会主任，中国科学院海外评审专家。1982年获南京气象学院学士学位，1986年获英国里丁大学博士学位。现任Remote Sensing of Environment 主编、Journal of Geophyiscal Research-Biogeosciences和Canadian Journal of Remote Sensing副主编、 Agricultural and Forest Meteorology 编委、美国通量观测网络科学指导委员会委员、中国科技部全球变化重大科学研究计划专家组成员、国务院侨办海外专家咨询委员会委员。
陈镜明教授在定量遥感方面、地球环境和气候变化以及在理保护环境方面做出了如下突出贡献：发明了测量叶面积指数的光学仪器；发展了用于卫星图像处理的最先进的几何光学4-尺度模式；发展了高光谱5尺度模式，成为机载图像分析和解译卫星图像的重要工具；利用卫星资料、地面资料和模型，发展了地面碳循环监测系统。在加拿大森林碳汇方面的研究成果对制定加拿大国家气候变化研究计划及其他相关的政策产生了影响。

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代表性论文Selected Publications
Chen, J. M., and J. Liu, 2020. Evolution of evapotranspiration models using thermal and shortwave remote sensing data. Remote Sensing of Environment, 237, 111594. (doi.org/10.1016/J.RSE.2019.111594)Chen, J. M., J. Liu, and X. Luo, 2020. Modification of the Penman-Monteith ET model based on the principle of water and carbon cycle coupling. Transactions of Atmospheric Science(invited paper in Chinese) (in press)Chou, S., Chen, B., Chen, J.M., Wang, M., Wang, S., Croft, H., and Shi, Q. 2020. Estimation of leaf photosynthetic capacity from the photochemical reflectance index and leaf pigments. Ecological Indicators, 110,105867. (doi.org/10.1016/J.ECOLIND.2019.105867)Croft, H., Chen, J.M., Wang, R., Mo, G., Luo, S., Luo, X., He, L., Gonsamo, A., Arabian, J., Zhang, Y., Simic-Milas, A., Noland, T. L., He, Y., Lomolova, L., Malenovsky, Z., Yi, Q., Beringer, J., Aimiri, R., Hutley, L., Arellano, P., Stahl, C., Bonal, D. 2020. The global distribution of leaf chlorophyll content. Remote Sensing of Environment,236, 111479. (doi.org/10.1016/J.RSE.2019.111479)Croft, H., Arabian, J., Chen, J.M., Shang, J., and Liu, J. 2019. Mapping within-field leaf chlorophyll content in agricultural crops for nitrogen management using Landsat-8 imagery. Precision Agriculture. (doi.org/10.1007/S11119-019-09698-Y)Chou, S., Chen, B., and Chen, J. M. 2019. Multi-angular instrument for tower-based observations of canopy sun-induced chlorophyll fluorescence. Instrumentation Science and Technology, 146-161. (doi.org/10.1080/**.2019.**)Canisius, F., Wang, S., Croft, H., Leblanc, S. G., Russell, H. A. J., Chen, J. M., and Wang, R. 2019. A UAV-Based Sensor System for Measuring Land Surface Albedo: Tested over a Boreal Peatland Ecosystem. Drones,3(1), 27.(doi.org/10.3390/DRONES**)Wang, R., Chen, J. M., Luo, X., Black, A., and Arain, A. 2019. Seasonality of leaf area index and photosynthetic capacity for better estimation of carbon and water fluxes in evergreen conifer forests. Agricultural and Forest Meteorology, 279, 107708. (doi.org/10.1016/j.agrformet.2019.107708)Zhang, Z., Chen, J. M., Guanter, L., He, L., and Zhang, Y. 2019. From Canopy-Leaving to Total Canopy Far-red Fluorescence Emission for Remote Sensing of Photosynthesis: First Results from TROPOMI. Geophysical Research Letters, 46(21), 12030-12040. (doi.org/10.1029/2019GL084832)Braghiere, R. K., Quaife, T., Black, E., He, L., and Chen, J. M.2019. Underestimation of global photosynthesis in Earth System Models due to representation of vegetation structure. Global Biogeochemical Cycles, 33(11), 1358-1369. (doi.org/10.1029/2018GB006135)Dong, T., Shang, J., Chen, J. M., Liu, J., Qian, B., Ma, B., Morrison, M. J., Zhang, C., Liu, Y., Shi, Y., Pan, H., and Zhou, G. 2019. Assessment of Portable Chlorophyll Meters for Measuring Crop Leaf Chlorophyll Concentration. RemoteSensing,11(22), 2706. (doi.org/10.3390/RS**)Qiu, B., Chen, J. M., Ju, W., Zhang, Q., and Zhang, Y. 2019. Simulating emission and scattering of solar-induced chlorophyll fluorescence at far-red band in global vegetation with different canopy structures. Remote Sensing of Environment, 233, 111373. (doi.org/10.1016/J.RSE.2019.111373)Chen, B., Chen, J. M., Baldocchi, D. D., Liu, Y., Wang, S., Zheng, T., Black, T. A., and Croft, H. 2019. Including soil water stress in process-based ecosystem models by scaling dowm maximum carboxylation rate using accumulated soil water deficit. Agricultural and Forest Meteorology, 276-277, 107649. (doi.org/10.1016/J.AGRFORMET.2019.107649)Gonsamo, A., Chen, J. M.,He, L., Sun, Y., Rogers, C., and Liu, J. 2019. Exploring SMAP and OCO-2 observations to monitor soil moisture control on photosynthetic activity of global drylands and croplands. Remote Sensing of Environment. 232, 111314. (doi.org/10.1016/J.RSE.2019.111314)He, L., Chen, J. M., Liu, J., Zheng, T., Wang, R., Joiner, J., Chou, S., Chen, B., Liu, Y., Liu, R., and Rogers, C. 2019. Diverse photosynthetic capacity of global ecosystems mapped by satellite chlorophyll fluorescence measurements. Remote Sensing of Environment, 232,111344. (doi.org/10.1016/J.RSE.2019.111344)Wei, S., Fang, H., Schaaf, C. B., He, L., and Chen, J. M.2019. Global 500m clumping index product derived from MODIS BRDF data (2001-2017). Remote Sensing of Environment, 232, 111296. (doi.org/10.1016/J.RSE.2019.111296)Wang, H., Jiang, F., Wang, J., Ju, W., and Chen, J. M.2019. Terrestrial ecosystem carbon flux estimated using GOSAT and COC-2 XCO₂retrievals. Atmospheric Chemistry and Physics, 19, 12067-12082. (doi.org/10.5194/ACP-19-12067-2019)Chen, J. M., Ju, W., Ciais, P., Viovy, N., Liu, R., Liu, Y., and Lu, X. 2019. Vegetation structural change since 1981 significantly enhanced the terrestrial carbon sink. Nature Communications,10, 4259. (doi.org/10.1038/S41467-019-12257-8)Gonsamo, A., Ter-Mikaelian, M. T., Chen, J. M., and Chen, J. 2019. Does Earlier and Increased Spring Plant Growth Lead to Reduced Summer Soil Mositure and Plant Growth on Landscpes Typical of Tundra-Taiga Interface? Remote Sesning, 11(17), 1989. (doi.org/10.3390/RS**)Dong, T., Shang, J., Qian, B., Liu, J., Chen, J. M., Jing, Q., McConkey, B., Huffman, T., Daneshfar, B., Champagne, C., Davidson, a., and MacDonald, D. 2019. Field-Scale Crop Seeding Date Estimation from MODIS Data and Growing Degree Days in Manitoba, Canada. Remote Sensing, 11(15), 1760. (doi.org/10.3390/RS**)Qiu, F., Chen, J. M., Croft, H., Li, J., Zhang, Q., Zhang, Y., and Ju, W. 2019. Retrieving Leaf Chlorophyll Content by Incorporating Variable Leaf Surface Reflectance in PROSPECT Model. Remote Sensing, 11(13), 1572. (doi.org/10.3390/RS**)Luo, X., Croft, H., Chen, J. M., He, L., and Keenan, T. F. 2019. Improved estimates of global terrestrial photosynthesis using information on leaf chlorophyll content. Global Change Biology,25(7), 2499-2514. (doi.org/10.1111/GCB.14624)Shan, N., Ju, W., Migliavacca, M., Martini, D., Guanter, L., Chen, J. M., Goulas, Y., and Zhang, Y. 2019. Modeling canopy conductance and transpiration from solar-induced chlorophyll fluorescence. Agricultural Forest Meteorology,268: 189-201. (doi.org/10.1016/J.AGRFORMET.2019.01.031)Xu, M., Liu, R., Chen, J. M., Liu, Y., Shang, R., Ju, W., Wu, C., and Huang, W. 2019. Retrieving leaf chlorophyll content using a matrix-based vegetation index combination approach. Remote Sensing of Environment, 224, 60-73. (doi.org/10.1016/J.RSE.2019.01.039)Xu, L., He, R., Yao, K., Chen, J. M.,Sheng, C., Chen, Y., Cai, G., Zhu, S., Liu, H., and Chen, H. 2019. Conformal Singularities and Topological Defects from Inverse Transformation Optics. Physical Review Applied, 11(3), 034072. (doi.org/10.1103/PHYSREVAPPLIED.11.034072)Wu, C., Wang, X., Wang, H., Ciais, P., Penuelas, J., Myneni, R. B., Desai, A. R., Gough, C. M., Gonsamo, A., Black, A. T., Jassal, R. S., Ju, W., Yuan, W., Fu, Y., Shen, M., Li, S., Liu, R., Chen, J. M.,and Ge, Q. 2018. Contrasting responses of autumn-leaf senescence to daytime and night-time warming. Nature Climate Change,8,1092-1096. (doi.org/10.1038/S41558-018-0346-Z)Luo, X., Keenan, T. F., Fisher, J. B., Jimenez-Munoz, J., Chen, J. M.,Jiang, C., Ju, W., Parakalapudi, N., Ryu, Y., and Tadic, J. M. 2018. The impact of the 2015/2016 El Nino on global photosynthesis using satellite remote sensing. Philosophical Transactions of The Royal Society B. 373 (1760), **. (doi.org/10.1098/RSTB.2017.0409)Zhang, C., Ju, W., Chen, J. M., Fang, M., Wu, M., Chang, X., Wang, T., and Wang, X. 2018. Sustained Biomass Carbon Sequestration by China’s Forests from 2010 to 2050. Forests,9(11), 689. (doi.org/10.3390/F**)Wang, J., Zeng, N., Wang, M., Jiang, F., Chen, J. M.,Friedingstein, P., Jain, A. K., Jiang, Z., Ju, W., Lienert, S., Nabel, J., Sitch, S., Viovy, N., Wang, H., and Wiltshire, A. J. 2018. Contrasting interannual atmospheric CO₂variabilities and their terrestrial mechanisms for two types of El Ninos. Atmospheric Chemistry and Physics. 18, 10333–10345. (doi.org/10.5194/ACP-18-10333-2018)Chen, J. M., Legendre, L., and Benner, R. 2018. A recent project shows that the microbial carbon pump is a primary mechanism driving ocean carbon uptake. National Science Review,5(4), 458. (doi.org/10.1093/NSR/NWY006)Qiu, F., Chen, J. M.,Ju, W., Wang, J., Zhang, Q., and Fang, M. 2018. Improving the PROSPECT Model to Consider Anisotropic Scattering of Leaf Internal Materials and Its Use for Retrieving Leaf Biomass in Fresh Leaves. IEEE Transactions on Geoscience and Remote Sensing, 56(6), 3119-3136. (doi.org/10.1109/TGRS.2018.**)He, L., Chen, J. M.,Gonsamo, A., Luo, X., Wang, R., Liu, Y., Liu, R. 2018. Changes in the Shadow: The Shifting Role of Shaded Leaves in Global Carbon and Water Cycles under Climate Change. Geophysical Research Letters, 45(10): 5052-5061. (doi.org/10.1029/2018GL077560)Gonsamo A, Chen, J. M.,and Ooi, Y. W. 2018. Peak season plant activityshift towards spring is reflected by increasing carbon uptake byextratropical ecosystems. Global Change Biology, 24(5), 2117-2128. (doi.org/10.1111/GCB.14001)Jiao, Z., Dong, Y., Schaaf, C. B., Chen, J. M., Roman, M., Wang, Z., Zhang, H., Ding, A., Erb, A., Hill, M. J., Zhang, X., and Strahler, A. 2018. An algorithm for the retrieval of the clumping index (CI) from the MODIS BRDF product using an adjusted version of the kernel-driven BRDF model. Remote Sensing of Environment, 209, 594-611. (doi.org/10.1016/J.RSE.2018.02.041)Cai Z., Jiang, F., Chen, J. M.,Jiang, Z., and Wang, X. 2018. Weather Condition Dominates Regional PM2.5 Pollutions in the Eastern Coastal Provinces of China during Winter. Aerosol and Air Quality Research,18(4), 969-980. (doi.org/10.4209/AAQR.2017.04.0140)Luo, X., Croft, H., Chen, J. M.,Bartlett, P., Staebler, R., and Froelich, N. 2018. Incorporating leaf chlorophyll content into a two-leaf terrestrial biosphere model for estimating carbon and water fluxes at a forest site. Agricultural and Forest Meteorology, 248, 156-168. (doi.org/10.1016/J.AGRFORMET.2017.09.012)Gonsamo, A., Walter, J. M. Chen, J. M.,Pellikka, P. and Schlepp, P. 2018. A robust leaf area index algorithm accounting for the expected errors in gap fraction observations. Agricultural and Forest Meteorology, 248, 197-204. (doi.org/10.1016/J.AGRFORMET.2017.09.024)Luo, S., Chen, J. M.,Wang, C., Gonsamo, A., Xi, X., Lin, Y., Qian, M., Peng, D., Nie, S., and Qin, H. 2018. Comparative Performances of Airborne LiDAR Height and Intensity Data for Leaf Area Index Estimation. IEEE Journal of Special Topics on Applied Earth Observation and Remote Sensing, 11(1), 300-310. (doi.org/10.1109/JSTARS.2017.**)Wang, B., Li, M., Fan, W., Yu, Y., and Chen, J. M.2018. Relationships between Net Primary Productivity and Forest Stand Age under Different Site Conditions and Its Implications for Regional Carbon Cycle Study. Forests, 9(1), 5. (doi.org/10.3390/F**)Luo, X., Chen, J. M., Liu, J., Black, T. A., Croft, H., Staefler, R., He, L., Arain, M. A., Chen, B., Mo, G., Gonsamo, A., and McCaughey, H. 2018. Comparison of Big-Leaf, Two-Big-Leaf and Two-Leaf Upscaling Schemes for Evapotranspiration Estimation Using Coupled Carbon - Water Modeling. Journal of Geophysical Research: Biogeosciences, 123(1),207-225. (doi.org/10.1002/2017JG003978)Huang, F., Zhan, W., Wang, Z., Wang, K.. Chen, J. M., Liu, Y., Lai, J., and Ju, W. 2017. Positive or Negative? Urbanization - Induced Variation in Diurnal Skin - Surface Temperature Range Using Satellite Data. Journal of Geophysical Research: Atmospheres,122(24), 13229-13244.(doi.org/10.1002/2017JD027021)Chen, Z., Chen, J. M., Zhang, S., Zheng, X., Ju, W., Mo, G., and Lu, X. 2017. Optimization of Terrestrial Ecosystem Model Parameters Using Atmospheric CO₂Concentration Data With a Global Carbon Assimilation System (GCAS). Journal of Geophysical Research: Biogeosciences, 122(12), 3218-3237. (doi.org/10.1002/2016JG003716)He, L., Chen, J. M., Croft, H., Gonsamo, A., Luo, X., Liu, J., Zheng, T., Liu, R., Liu, Y. 2017. Nitrogen Availability Dampens the Positive Impacts of CO₂Fertilization on Terrestrial Ecosystem Carbon and Water Cycles. Geophysical Research Letters, 44(22), 11590-11600. (doi.org/10.1002/2017GL075981)Zhu, Q., Peng, C., Ciais, P., Jiang, H., Liu, J., Bousquet, P., Li, S., Chang, J., Fang, X., Zhou, X., Chen, H., Liu, S., Lin, G., Gong, P., Wang, M., Wang, H., Xiang, W., and Chen, J. M.2017. Interannual variation in methane emissions from tropical wetlands triggered by repeated El Nino Southern Oscillation. Global Change Biology, 23(11), 4706-4716.(doi.org/10.1111/GCB.13726)Zhang, F., Pan, Y., Birdsey, R. A., Chen, J. M., and Dugan, A. 2017. Seeking potential contributions to future carbon budget in conterminous US forests considering disturbances. Theoretical and Applied Climatology, 130, 971-978. (doi.org/10.1007/S00704-016-1936-1)Gonsamo, A., D’Odorico, P., Chen, J. M., Wu, C., and Buchmann, N. 2017. Changes in vegetation phenology are not reflected in atmospheric CO₂and ¹³C/¹²C seasonality. Global Change Biology, 23(10), 4029-4044. (doi.org/10.1111/GCB.13646)Ji, X. B., Chen, J. M., Zhao, W. Z., Kang, E. S., Jin, B. W., and Xu, S. Q. 2017. Comparison of hourly and daily Penman-Monteith grass- and alfalfa-reference evapotranspiration equations and crop coefficients for maize under arid climatic conditions. Agricultural Water Management, 192, 1-11. (doi.org/10.1016/J.AGWAT.2017.06.019)Croft, H., Chen, J. M., Luo, X., Bartlett, P., Chen, B., and Staebler, R. M. 2017. Leaf chlorophyll content as a proxy for leaf photosynthetic capacity. Global Change Biology, 23(9), 1365-1386. (doi.org/10.1111/GCB.13599)Geng, J., Chen, J. M., Fan, W., Tu, L., Tian, Q., Yang, R., Yang, Y., Wang, L., Lv, C., and Wu, S. 2017. GOFP:A Geometric-Optical Model for Forest Plantations. IEEE Transactions on Geoscience and Remote Sensing, 55(9), 5230-5241. (doi.org/10.1109/TGRS.2017.**)Dugan, A. J., Birdsey, R., Healey, S. P., Pan, Y., Zhang, F., Mo, G., Chen, J. M., Woodall, C. W., Hernandez, A. J., McCullough, K., McCarter, J. B., Raymond, C. L., and Dante-Wood, K. 2017. Forest Sector Carbon Analyses Support Land Management Planning and Projects: Assessing the Influence of Anthropogenic and Natural Factors. Climatic Change, 144, 207-220. (doi.org/10.1007/S10584-017-2038-5)Wang, R., Chen, J. M., Liu, Z., and Arain, A. 2017. Evaluation of seasonal variations of remotely sensed leaf area index over five evergreen coniferous forests. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 187-201.Chou, S., Chen, J. M., Yu, H., Chen, B., Zhang, X., Croft, H., Khali, S., Li, M., and Shi, Q. 2017. Canopy-level photochemical reflectance index from hyperspectral remote sensing and leaf-level non-photochemical quenching as early indicators of water stress in maize. Remote Sensing, 9(8), 794. (doi.org/10.3390/RS**)He, L., Chen, J. M., Liu, J., Belair, S., and Luo, X. 2017. Assessment of SMAP soil moisture for global simulations of gross primary production. Journal of Geophysical Research: Biogeosciences, 122(7), 1549-1563.(doi.org/10.1002/2016JG003603)He, L., Chen, J. M., Liu, J., Mo. G., and Joiner, J. 2017. Angular Normalization of GOME-2 Sun-induced Chlorophyll Fluorescence Observation as a Better Proxy of Vegetation Productivity. Geophysical Research Letters, 44(11), 5691-5699. (doi.org/10.1002/2017GL073708)Zhang Q., Chen, J. M., Ju, W., Wang, H., Qiu, F., Yang, F., Fan, W., Huang, Q., Wang, Y-P., Feng, Y., Wang, X., and Zhang, F. 2017. Improving the ability of the photochemical reflectance index to track canopy light use efficiency through differentiating sunlit and shaded leaves. Remote Sensing of Environment, 194, 1-15. (doi.org/10.1016/J.RSE.2017.03.012)Ma, Q., Li, Y., Liu, J., and Chen, J. M.2017. Long Temporal Analysis of 3-km MODIS Aerosol Product Over East China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,10(6), 2478-2490. (doi.org/10.1109/JSTARS.2017.**)Yu, Y., Chen, J. M.,Yang, X., Fan, W., Li, M., and He, L. 2017. Influence of site index on the relationship between forest net primary productivity and stand age. PLOS ONE,12(5): e**. (doi.org/10.1371/JOURNAL.PONE.**)He, L., Chen, J. M.,K.-S. Chen. 2017. Simulation and SMAP Observation of Sun-Glint Over the Land Surface at the L-Band. IEEE Transactions on Geoscience and Remote Sensing, 55(5), 2589-2604. (doi.org/10.1109/TGRS.2017.**)Gonsamo, A., Chen, J. M.,Colombo, S. J., Ter-Mikaelian, M. T., and Chen, J. 2017. Global change induced biomass growth offsets carbon released via increased forest fire and respiration of the central Canadian boreal forest. Journal of Geophysical Research-Biogeosciences,122(5), 1275-1293. (doi.org/10.1002/2016JG003627)Zheng, T., Chen, J. M.,He, L., Arain, M. A., Thomas, S. C., Murphy, J. G. Geddes, J. A., and Black, T. A. 2017. Inverting the maximum carboxylation rate (V-cmax) from the sunlit leaf photosynthesis rate derived from measured light response curves at tower flux sites. Agricultural and Forest Meteorology, 236, 48-66. (doi.org/10.1016/J.AGRFORMET.2017.01.008)Zhou, Y., Hilker, T., Ju, W., Coops, N. C. Black, T. A., Chen, J. M.,and Wu, X. 2017. Modeling Gross Primary Production for Sunlit and Shaded Canopies Across an Evergreen and a Deciduous Site in Canada. IEEE Transactions on Geoscience and Remote Sensing, 55(4), 1859-1873. (doi.org/10.1109/TGRS.2016.**)Chen, J. M.,Mo, G., and Deng, F. 2017. A joint global carbon inversion system using both CO2 and (CO2)-C-13 atmospheric concentration data. Geoscientific Model Development,10(3), 1131–1156. ( doi.org/10.5194/GMD-10-1131-2017)Liu, Y., Liu, R., Pisek, J., and Chen, J. M.,2017. Separating overstory and understory leaf area indices for global needleleaf and deciduous broadleaf forests by fusion of MODIS and MISR data. Biogeosciences, 14(5), 1093-1110.(doi.org/10.5194/BG-14-1093-2017)Wang, B. J., Chen, J. M.,Ju, W. Qiu, F., Zhang, Q., Fang, M., and Chen, F. 2017. Limited Effects of Water Absorption on Reducing the Accuracy of Leaf Nitrogen Estimation. Remote Sensing, 9(3), 291. (doi.org/10.3390/RS**)Mao, K. B., Ma, Y., Tan, X. L., Shen, X. Y., Liu, G., Li, Z. L. Chen, J. M.,and Xia, L. 2017. Global surface temperature change analysis based on MODIS data in recent twelve years. Advances in Space Research, 59(2), 503–512. (doi.org/10.1016/J.ASR.2016.11.007)Dong, T., Liu, J., Qian, B., Jing, Q., Croft, H. Chen, J. M.,Wang, J., Huffman, T., Shang, J. and Chen,P. 2017. Deriving maximum light use efficiency from crop worth model and satelliete data to improve crop biomass estimation. IEEE journal of Selected Topics in Applied Earth Observation and Remote Sensing, 10(1), 104-117. (doi.org/10.1109/JSTARS.2016.**)Zheng T., and Chen, J. M.2017. Photochemical reflectance ratio for tracing light use efficiency for sunlit leaves in two forest types. ISPRS Journal of Photogrammetry and Remote Sensing, 123, 47-61. (doi.org/10.1016/J.ISPRSJPRS.2016.11.005)Ma, Q., Chen, J. M.,Li, Y., Croft, H., Luo, X., Zheng, T., and Zamaria, S. 2017. Leaf Chlorophyll Content Estimation from Sentinel-2 MSI Data. International Geoscience and Remote Sensing Symposium (IGARSS)?, Fort Worth, TX, 2915-2918.(doi.org/10.1109/IGARSS.2017.**)

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主要获奖成果The Main Achievements
2019, Distinguished Professor, University of Toronto
2017, Award of Scholarly Distinction in Geography, Canadian Association of Geographers.
2010, Professional Achievement Award, Chinese Professional Association of Canada.
2010, Fairchild Television Outstanding Profile Award, for contributions to its national TV program.
2007, Merit Award, Federation of Chinese Canadian Professionals, which is given to one Chinese professional per year selected in all disciplines across Canada.
2006, Fellow of Royal Society of Canada.
2004-2018, Canada Research Chair, Tier I. This is an honor given to about 1000 academics in Canada by the federal government.
2001, 2003, 2004, 2005, 2006, 2008, 2010, 2012, 2013, 2014, 2015, 2016, 2017, Dean’s Excellence Award, Faculty of Arts and Science, University of Toronto.
2001, 2002, 2003, 2004, 2006, 2007, 2008, 2012, 2013, Dean’s Small Group Award, Faculty of Arts and Science, University of Toronto.
2001, Earth Sciences Sector Merit Award (for outstanding contributions to technology transfer), Department of Natural Resources, Canada.
2001, Ontario Premiere’s Research Excellence Award.
2000, Alouette Award, which is named after the first Canadian satellite and is one of the highest honors of Canadian Aeronautic and Space Institute given to various disciplines including space technology and science, earth observation, aviation and aerodynamics.
1998, Earth Sciences Sector Merit Award (for outstanding contributions to science), Department of Natural Resources, Canada.
1999, Canadian International Development Agency Award for contributions to international forestry.
1999, Certificate of Best Practices Forum of Earth Sciences Sector, Natural Resources Canada, for giving an effective public lecture on the progress in remote sensing science.
1988, Outstanding Publication Award, Beijing Institute of Geography, Chinese Academy of Sciences.
1984-1986, 1985-1986, British Council Overseas Research Student Award.
1983-1986, Overseas Graduate Scholarship Award, Chinese Ministry of Education. It was obtained through a nation-wide open competition with a selection rate of about 1/60.
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