No. 9, Block 4, South Renmin Road, Chengdu, Sichuan, P. R. China
Mountain Remote Sensing
2017 PH.D. Physical Geography, University of Chinese Academy of Sciences, China
2003 M.S. Cartography and Geographical Information System, University of Chinese Academy of Sciences, China
1997 B.S. Photogrammetry and remote sensing, Southwest Jiaotong University, China
Employment Record (including international working experience )
07/2010 – present, Professor, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences
02/2008–04/2010, Visiting research scientist, Department of Geographical Sciences, University of Maryland, USA
01/2007–06/2010, Research Assistant Professor, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences
02/2005–08/2005, Visiting research scientist, Department of Geographical Sciences, University of Maryland, USA
07/1997–12/2006, Research Assistant Professor, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences
 The integrated retrieving methodology for key ecological parameters in mountainous regions and its validation. The Key Project of Natural Science Foundation of China (No.41631180). 2017-2021. PI.
 The satellite-aerial-ground integrated observation for the Essential Climate Variables (ECVs) in mountain areas and its application. The National Key Research and Development Program of China. (No. 2016YFA0600103). 2016-2020. PI.
 Characterizing the grazing intensity with remote sensing and evaluating its contribution to the regional grassland NPP estimation. Natural Science Foundation of China (No.41571373). 2016-2019. PI.
 The spatial-temporal pattern of key resource and environment parameters in South Asia and the spatial information services for the Road and Belt Initiative. The 135 key project of IMHE. 2016-2020. PI
Academic Society Activities
 Director of the Digital Mountain Committee, Chinese Committee of International Society of Digital Earth (CNISDE).
 Vice director of the Resource information system Committee, China Society of Natural Resources.
 Vice director of the Youth Working Committee, Geographical Society of China.
 Board member of the Remote Sensing of Environment Brunch, Geographical Society of China.
 Editorial board member or Peer-reviewer of over 30 SCI-indexed international journals.
 The Best Paper Award, International Society for Environmental Information Sciences, 2010.
 National Youth geographic science and Technology Award, The Geographical Society of China, 2013.
 Second Prize of Science and Technology Progress Award in Surveying and Mapping, China Society for Geodesy Photogrammetry and Cartography, 2016.
 Li Ainong, Bian Jinhu, Jin Huaan. Mountain Remote Sensing. Science Press. 2016
 Li Ainong, Deng Wei, Zhao Wei. Land Cover Change and Its Eco-Environmental Responses in Nepal, Springer Nature, 2017
 Xie, X., Li, A., Tan, J., et al. (2020). Assessments of gross primary productivity estimations with satellite data-driven models using eddy covariance observation sites over the northern hemisphere. Agricultural and Forest Meteorology, 280, 107771
 Zhao, W., Li, A., Huang, Q., et al. (2019). An improved method for assessing vegetation cooling service in regulating thermal environment: A case study in Xiamen, China. Ecological Indicators, 98, 531-542
 Zhao, W., Duan, S., Li, A., et al. (2019). A practical method for reducing terrain effect on land surface temperature using random forest regression. Remote sensing of Environment, 221, 635-649
 Xie, X., Li, A., Jin, H., et al. (2019). Assessment of five satellite-derived LAI datasets for GPP estimations through ecosystem models. Science of The Total Environment, 690, 1120-1130
 Tan, J., Li, A., Lei, G., et al. (2019). A SD-MaxEnt-CA model for simulating the landscape dynamic of natural ecosystem by considering socio-economic and natural impacts. Ecological Modelling, 410, 108783
 Tan, J., Li, A., Lei, G., et al. (2019). A novel and direct ecological risk assessment index for environmental degradation based on response curve approach and remotely sensed data. Ecological Indicators, 98, 783-793
 Jin, H., Xu, W., Li, A., et al. (2019). Spatially and Temporally Continuous Leaf Area Index Mapping for Crops through Assimilation of Multi-resolution Satellite Data. Remote Sensing, 11, 2517
 Jin, H., Li, A., Yin, G., et al. (2019). A Multiscale Assimilation Approach to Improve Fine-Resolution Leaf Area Index Dynamics. IEEE Transactions on Geoscience & Remote Sensing, 57, 8153-8168
 Jin, H., Li, A., Xu, W., et al. (2019). Evaluation of topographic effects on multiscale leaf area index estimation using remotely sensed observations from multiple sensors. ISPRS Journal of Photogrammetry and Remote Sensing, 154, 176-188
 He, L., Li, A., Yin, G., et al. (2019). Retrieval of Grassland Aboveground Biomass through Inversion of the PROSAIL Model with MODIS Imagery. Remote Sensing, 11, 1597
 Bian, J., Li, A., Zuo, J., et al. (2019). Estimating 2009–2017 Impervious Surface Change in Gwadar, Pakistan Using the HJ-1A/B Constellation, GF-1/2 Data, and the Random Forest Algorithm. ISPRS International Journal of Geo-Information, 8, 443
 Bian, J., Li, A., Huang, C., et al. (2018). A self-adaptive approach for producing clear-sky composites from VIIRS surface reflectance datasets. ISPRS Journal of Photogrammetry and Remote Sensing, 144, 189-201
 Li, A., Deng, W., Zhao, W., et al. (2018). A geo-spatial database about the eco-environment and its key issues in South Asia. Big Earth Data, 2, 298-319
 Xie, X., Li, A., Jin, H., et al. (2018). Derivation of temporally continuous leaf maximum carboxylation rate (Vcmax) from the sunlit leaf gross photosynthesis productivity through combining BEPS model with light response curve at tower flux sites. Agricultural and Forest Meteorology, 259, 82-94
 Zhao, W., Sánchez, N., Li, A. (2018). Triangle Space-Based Surface Soil Moisture Estimation by the Synergistic Use of In Situ Measurements and Optical/Thermal Infrared Remote Sensing: An Alternative to Conventional Validations. IEEE Transactions on Geoscience & Remote Sensing , 56, 4546-4558
 Yin, G., Li, A., Wu, S., et al. (2018). PLC: A simple and semi-physical topographic correction method for vegetation canopies based on path length correction. Remote sensing of Environment, 215, 184-198