Received Bachelor degree in Photogrammetry and Remote Sensing at Southwest Jiaotong University in 1997, and Master degree in Cartography and Geographic Information System and Ph.D degree in Physical Geography at University of Chinese Academy of Sciences in 2003 and 2007, respectively. He once worked in Department of Geographical Sciences, at University of Maryland, College Park in USA, as a research fellow from 2005 to 2006, and 2008 to 2010. Since 2010, he was the full professor of Institute of Mountain Hazards and Environment, as the outstanding overseas talents of elected fellow of Chinese Academy of Sciences "One Hundred Talents Program". His main research interests focus on mountain remote sensing and digital mountain, including ecological modeling, mountain surface process modeling, bio-physical parameters retrieving, multi-sources data assimilation, remote sensing images pre-processing and spatio-temporal-spectral fusion, and digital mountain application such as ecological environment assessment, biodiversity conservation, mountain disaster risk assessment and emergency response investigation. Currently he is undertaking 4 national research projects, has published more than 150 peer-reviewed journal papers and 4 monograph so far.
Mountain Remote Sensing and its Integrated Application
Vice director and the Secretary-General 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.
Commitment to research the situation
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
Li, A., et al. Mountain Remote Sensing. Beijing, Science Press, 2016.
Li, A., Deng, W., Zhao, W. Land cover change and its eco-environmental responses in Nepal. Springer. 2017.
Li, A. *, Bian, J., Zhang, Z., et al. Progresses, Opportunities, and Challenges of Mountain Remote Sensing Research. Journal of Remote Sensing, 2016, 20(5):1199-1215.
Li, A. *, Yin, G., Jin, H., et al. Principles and Methods for the retrieval of biophysical variables in Mountainous Areas. Remote Sensing Technology and Application, 2016, 31(1):1-11.
Li, A. *, Bian, J., Zhang, Z., et al. An Integrated Multi-scale Remote Sensing Experiment on Carbon Budget Parameters in the Zoige Plateau: Scientific Objectives and Experiment Design. Remote Sensing Technology and Application, 2016, 31(3):405-416.
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.
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.
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.
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-1A/B constellation images and an adaptive endmember selection LSMM model. Remote Sensing of Environment 197: 98-114.
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.
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.
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.
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