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个人简介

李爱农(1974-),男,博士,研究员,博士生导师,数字山地与遥感应用中心主任。 1997年毕业于西南交通大学摄影测量与遥感专业,同年进入中国科学院水利部成都山地灾害与环境研究所工作,分别于2003年、2007年取得硕士、博士学位,2005、2008-2010年先后赴美国马里兰大学地理系从事访问和博士后研究,2010年晋升为中科院成都山地所研究员,博士生导师,从2012年起担任中国科学院成都山地所数字山地与遥感应用研究中心主任。入选国家"中青年科技创新领军人才"(2015)、四川省"****"(2012)、中国科学院"****"(2010)、中组部-中科院"西部之光"(2008)人才培养计划,四川省第九批学术和技术带头人后备人选,四川省专家评议(审)委员会委员、中科院成都山地所学术委员会委员。 长期以来,积极投身于山地定量遥感理论、方法及其应用等遥感前沿探索领域的研究,取得了多项重要的独创性成果。其学术贡献主要体现在山地遥感数据自动处理、山地地表覆被信息遥感定量识别、山地陆表参量遥感反演与同化、山地生态环境综合评估模型、突发山地灾害遥感应急调查评估等方面。先后参与和承担了国家自然科学基金重点项目/面上项目、重点研发计划、973/863/科技支撑、国家重大科技专项、中科院战略先导专项/重大部署项目、国际合作等科研项目20余项,发表论文150余篇,其中SCI论文46篇,EI论文30篇,出版中英文专著4部、中国数字山地图1套,获得软件著作权10项,申请国家发明专利1项 教育背景 2004-09--2007-05 中国科学院大学 博士 2001-09--2003-12 中国科学院大学 硕士 1993-09--1997-06 西南交通大学 学士 工作简历 2016-03~现在, 科技部, 中青年科技创新领军人才 2012-12~现在, 四川省委组织部, 四川省“****”、省特聘专家 2012-03~现在, 中国科学院水利部成都山地灾害与环境研究所, 数字山地与遥感应用中心主任 2010-10~现在, 中国科学院水利部成都山地灾害与环境研究所, 研究员、博士生导师 2010-07~现在, 中国科学院水利部成都山地灾害与环境研究所, 中科院“****”引进人才 2008-02~2010-04,美国马里兰大学地理系, 博士后研究 1997-07~2008-01,中国科学院水利部成都山地灾害与环境研究所, 研究实习员、助理研究员、副研究员 教授课程 对地遥感观测技术及其在山地研究中的应用 获奖情况 第十二届全国青年地理科技奖,中国地理学会; 第十二届四川省青年科技奖,四川省委组织部、四川省科学技术协会、四川省人力资源和社会保障厅; 中国自然资源学会青年科技奖,中国自然资源学会; 国际环境信息科学协会2010年会最佳论文奖。 专利成果 ( 1 ) 山区多光谱遥感卫星影像的自动几何纠正与正射校正方法, 发明, 2015, 第 1 作者, 专利号: 201210477410.6 科研项目 ( 1 ) 放牧强度遥感表征及其对区域草地NPP遥感估算精度的贡献研究, 主持, 国家级, 2016-01--2019-12 ( 2 ) 重要经济和生态活动的生物多样性效应评估, 主持, 部委级, 2014-01--2016-12 ( 3 ) 中尼典型山地生态系统遥感监测对比研究, 主持, 部委级, 2013-01--2016-12 ( 4 ) 若尔盖高原湿地-草地区域碳收支多时空尺度观测与模拟, 主持, 国家级, 2013-01--2016-12 ( 5 ) 山地典型生态参量遥感反演建模及其时空表征能力研究, 主持, 国家级, 2017-01--2021-12

研究领域

山地定量遥感及其综合应用研究。

近期论文

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李爱农, 边金虎, 靳华安, 等. 山地遥感. 北京: 科学出版社, 2016. 李爱农*, 边金虎, 张正健, 等. 山地遥感主要研究进展、发展机遇与挑战. 遥感学报, 2016, 20(5): 1199-1215. 李爱农*, 尹高飞, 靳华安, 等. 山地地表生态参量遥感反演的理论、方法与问题. 遥感技术与应用, 2016, 31(1): 1-11. 李爱农*, 边金虎, 张正健, 等. 若尔盖高原区域碳收支参量多尺度遥感综合观测试验:科学目标与试验设计. 遥感技术与应用, 2016, 31(3): 405-416. Zhao, W., Li, A.*, JIn, H., et al. Performance Evaluation of the Triangle-Based Empirical Soil Moisture Relationship Models Based on Landsat-5 TM Data and In Situ Measurements. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(5): 2632-2645. Zhao, W., Li, A.*, Nan, X., et al. Postearthquake Landslides Mapping From Landsat-8 Data for the 2015 Nepal Earthquake Using a Pixel-Based Change Detection Method. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017. Yin, G., Li, A.*, Jin, H., et al. Derivation of temporally continuous LAI reference maps through combining the LAINet observation system with CACAO. Agricultural and Forest Meteorology, 2017, 233: 209-221. Jin, H., Li, A.*, Bian, J., et al. Intercomparison and validation of MODIS and GLASS leaf area index (LAI) products over mountain areas: A case study in southwestern China. International Journal of Applied Earth Observation and Geoinformation, 2017, 55: 52-67. Xia, H., Zhao, W., Li, A.*, et al. Subpixel Inundation Mapping Using Landsat-8 OLI and UAV Data for a Wetland Region on the Zoige Plateau, China. Remote Sensing, 2017, 9(1): 31. Yin, G., Li, A.*, Zeng, Y., et al. A Cost-Constrained Sampling Strategy in Support of LAI Product Validation in Mountainous Areas. Remote Sensing, 2016, 8: 704. Wang, J., Li, A.*, Jin, H. Sensitivity analysis of the Denitrification and Decomposition model for simulating regional carbon budget at the wetland-grassland area on the Zoige Plateau, China. Journal of Mountain Science, 2016, 13(7): 1200-1216. Wang, J., Li, A.*, Bian, J. Simulation of the Grazing Effects on Grassland Aboveground Net Primary Production Using DNDC Model Combined with Time-Series Remote Sensing Data—A Case Study in Zoige Plateau, China. Remote Sensing, 2016, 8(3): 168. Lei, G., Li, A.*, Bian, J., et al. Land Cover Mapping in Southwestern China Using the HC-MMK Approach. Remote Sensing, 2016, 8(4): 305. Jin, H., Li, A.*, Wang, J., et al. Improvement of spatially and temporally continuous crop leaf area index by integration of CERES-Maize model and MODIS data. European Journal of Agronomy, 2016, 78(2016): 1-12. Bian, J., Li, A.*, Liu, Q., et al. Cloud and Snow Discrimination for CCD Images of HJ-1A/B Constellation Based on Spectral Signature and Spatio-Temporal Context. Remote Sensing, 2016, 8(1): 31. Li, A.*, Wang, Q., Bian, J., et al. An Improved Physics-Based Model for Topographic Correction of Landsat TM Images. Remote Sensing. 2015, 7(5): 6296-6319. Li, A.*, Zhao, W., Deng, W. A Quantitative Inspection on Spatio-Temporal Variation of Remote Sensing-Based Estimates of Land Surface Evapotranspiration in South Asia." Remote Sensing. 2015, 7(4): 4726-4752. Li, A.*, Zhang, W., Lei, G., et al. Comparative Analysis on Two Schemes for Synthesizing the High Temporal Landsat-like NDVI Dataset Based on the STARFM Algorithm. ISPRS International Journal of Geo-Information, 2015, 4(3): 1423-1441. Zhao, W., Li, A.*A comparison study on empirical microwave soil moisture downscaling methods based on the integration of microwave-optical/IR data on the Tibetan Plateau. International Journal of Remote Sensing, 2015, 36(19-20): 1-17. Zhao, W., Li, A.*, Deng, W. Surface Energy Fluxes Estimation Over the South Asia Subcontinent Through Assimilating MODIS/TERRA Satellite Data With In Situ Observations and GLDAS Product by SEBS Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7, 3704-3712. Li, A.*, Deng, W., Kong, B., et al. A study on wetland landscape pattern and its change process in Huang-Huai-Hai (3H) area, China. Journal of Environmental Informatics. 2013, 21: 23-34. Bian, J., Li, A.*, Jin, H., et al. Auto-registration and orthorecification algorithm for the time series HJ-1A/B CCD images. Journal of Mountain Science. 2013, 10(5): 754-767. Li, A.*, Jiang, J., Bian, J., et al. Combining the matter element model with the associated function of probability transformation for multi-source remote sensing data classification in mountainous regions. ISPRS Journal of Photogrammetry and Remote Sensing. 2012, 67: 80-92. Li, A.*, Liang, S., Wang, A., et al. Investgating the impacts of the North Atlantic Oscillation on global vegetation changes by a remotely sensed vegetation index. International Journal of Remote Sensing. 2012, 33(22): 7222-7239. Li, A.*, Bian, J., Lei, G., et al. Estimating the maximal light use efficiency for different vegetation through the CASA model combined with time-series remote sensing data and ground measurements. Remote Sensing. 2012, 4(12): 3857-3876. Li, A., Huang, C.*, Sun, G., et al. Modeling the height of young forests regenerating from recent disturbances in Mississippi using Landsat and ICESat data. Remote sensing of Environment. 2011, 115(8): 1837-1849. Li, A.*, Deng, W., Liang, S., et al. Investigation on the patterns of global vegetation change using a satellite-sensed vegetation index. Remote Sensing. 2010, 2(6): 1530-1548. Li, A.*, Liang, S., Wang, A., et al. Estimating crop yield from multi-temporal satellite data using multivariate regression and neural network techniques. Photogrammetric Engineering and Remote Sensing. 2007, 73(10): 1149-1157. Li. A.*, Wang, A., Liang, S., et al. Eco-environmental vulnerability evaluation in mountainous region using remote sensing and GIS - A case study in the upper reaches of Minjiang River, China. Ecological Modelling. 2006, 192(1-2): 175-187.

学术兼职

2016-04-01-今,International Journal of Sustainable Development Research, Editoral Member 2016-01-01-今,遥感技术与应用, 编委 2015-01-01-今,山地学报, 编委 2014-12-31-今,Journal of Mountain Science, Editoral Member 2014-05-01-今,四川省专家评议(审)委员会, 评议专家 2014-01-01-今,中国自然资源学会资源信息系统专业委员会, 副主任 2013-06-01-今,中国地理学会青年工作委员会, 副主任 2013-01-01-今,CNISDE数字山地专业委员会, 副主任、秘书长(兼) 2011-12-31-今,International Journal of Advanced Remote Sensing and GIS, Editoral Member 2008-12-01-今,中国地理学会环境遥感分会, 理事

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