您的当前位置:首页 > 研究队伍
研究队伍
姓   名
李爱农
性   别
职   务
数字山地与遥感应用中心主任
职   称
研究员
通讯地址
成都市人民南路四段九号,中国科学院成都山地灾害与环境研究所
邮政编码
610041
电子邮件
ainongli@imde.ac.cn

 简历:
 

    李爱农,男(1974-),汉族,中共党员,博士,研究员(二级),博士生导师。数字山地与遥感应用中心主任(2012-)、数字山地党支部书记(2017-)、王朗山地生态遥感综合观测试验站站长(2017-)、中国科学院无人机应用与管控研究中心副主任(2017-)。曾兼任所团委书记(2007-2010)、山区发展与数字山地党支部书记(2015-2017)。入选国家万人计划科技创新领军人才(2017)、国家创新人才推进计划中青年科技创新领军人才20151997年毕业于西南交通大学摄影测量与遥感专业,2003年、2007年在中国科学院大学获得硕士和博士学位,2005年、2008-2010年先后赴美国马里兰大学地理系从事访问学习与博士后研究。先后承担国家重点研发计划/973/863/科技支撑专题、国家自然科学基金重点项目/面上项目、中科院战略性先导科技专项子课题/重点部署项目课题/国际合作重点项目/STS课题、环保部生态十年专项课题等科研任务20余项。发表学术论文160余篇,其中SCI论文48篇,EI论文30篇,出版中英文学术专著5部、地图()2套,获国家发明专利、软件著作权12项。

 研究领域:
 

    山地定量遥感理论、方法及其综合应用研究。

 社会任职:
 

 获奖及荣誉:
 

    国家万人计划科技创新领军人才、国家创新人才推进计划中青年科技创新领军人才中组部-中科院西部之光入选者,四川省第九批学术与技术带头人后备人选,获国际环境信息协会(ISEISThe Best Paper Award、全国青年地理科技奖、中国自然资源学会青年科技奖、中国测绘地理信息学会科学技术奖、四川省青年科技奖等。

 代表论著:
 

[1]      李爱农, 边金虎, 靳华安, . 山地遥感[M]. 北京: 科学出版社, 89.5万字, 2016. Pp.580.

[2]      Li Ainong, Deng Wei, Zhao Wei. Land Cover Change and Its Eco-Environmental Response in Nepal[M]. Singapore, Springer, 2017. Pp.480.

[3]      李爱农*, 边金虎, 张正健, . 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.

[4]      李爱农*, 边金虎, 张正健, . 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.

[5]      李爱农*, 尹高飞, 靳华安, . 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.

[6]      李爱农*, 边金虎, 尹高飞, . 山地典型生态参量遥感反演建模及其时空表征能力研究. 地球科学进展, 2018, 33(2): 141-151.

[7]      李爱农*, 南希, 张正健, . 茂县“6.24”特大高位远程崩滑灾害遥感回溯与应急调查. 自然灾害学报, 2018, 27(2):1-9.

[8]      Bian, J., Li, A.*, Zhang, Z., et al. Monitoring fractional green vegetation cover dynamics over a seasonally inundated alpine wetland using dense time series HJ-1 A/B constellation images and an adaptive endmember selection LSMM model. Remote Sensing of Environment, 2017, 197: 98-114.

[9]      Yin, G., LI, A.*, Zhao, W., et al. Modeling Canopy Reflectance Over Sloping Terrain Based on Path Length Correction. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(8): 4597 - 4609.

[10] 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(2017): 209-221.

[11] Zhao, W., Li, A.*, Zhao, T. Potential of Estimating Surface Soil Moisture With the Triangle-Based Empirical Relationship Model. IEEE Transactions on Geoscience & Remote Sensing, 2017, 55(11): 6494-6504.

[12] 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.

[13] Tan, J., Li, A.*, Lei, G., et al. Preliminary assessment of ecosystem risk based on IUCN criteria in a hierarchy of spatial domains: A case study in Southwestern China. Biological Conservation, 2017, 215(2017): 152-161.

[14] 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.

[15] 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.

[16] Bian, J., Li, A.*, Wang, Q., et al. Development of Dense Time Series 30-m Image Products from the Chinese HJ-1A/B Constellation: A Case Study in Zoige Plateau, China. Remote Sensing, 2016, 7(12): 16647-16671.

[17] 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.

[18] 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.

[19] 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.

[20] 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.

[21] 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.

[22] 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(1): 23-34.

[23] 李爱农*, 张正健, 雷光斌, . 四川芦山“4·20”强烈地震核心区灾损遥感快速调查与评估. 自然灾害学报, 2013, 22(6): 8-18.

[24] 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.

[25] 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(1): 80-92.

[26] 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.

[27] 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.

[28] 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.

[29] 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.

[30] 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.

       [31] 邓伟, 李爱农, 南希, 陈昱, 廖克. 中国数字山地图. 北京: 中国地图出版社, 2015.

 承担科研项目情况:
 

国家自然科学基金重点项目山地典型生态参量遥感反演建模及其时空表征能力研究2017-2021);

国家重点研发计划项目专题山地关键气候变量天--地一体化协同观测与应用示范2016-2021);

国家自然科学基金面上项目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2016-2019);

中央级科学事业单位修购专项项目山区遥感-地面观测同步试验与综合应用服务平台2017-2018);

中国科学院成都山地所“一三五”重点培育方向项目“南亚地缘合作关键资源环境变化过程与空间信息服务”(2017-2020)。