Name

Ainong LI

Professional

Title

Professor

Address

No. 9, Block 4, South Renmin Road, Chengdu, Sichuan, P. R. China

E-mail

ainongli@imde.ac.cn

Professional

Expertise

Mountain Remote Sensing

Education

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

 

Running Projects

[1] 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.

[2] 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.

[3] 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.

[4] 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

[1] Director of the Digital Mountain Committee, Chinese Committee of International Society of Digital Earth (CNISDE).

[2] Vice director of the Resource information system Committee, China Society of Natural Resources.

[3] Vice director of the Youth Working Committee, Geographical Society of China.

[4] Board member of the Remote Sensing of Environment Brunch, Geographical Society of China.

[5] Editorial board member or Peer-reviewer of over 30 SCI-indexed international journals.

 

Awards

[1] Hundred Talent Program, Chinese Academy of Sciences, 2010

[2] The Best Paper Award, International Society for Environmental Information Sciences, 2010.

[3] Thousand Talents program, Sichuan provincial Party Committee Organization Department, 2012.

[4] National Youth geographic science and Technology Award, The Geographical Society of China, 2013.

[5] Second Prize of Science and Technology Progress Award in Surveying and Mapping, China Society for Geodesy Photogrammetry and Cartography, 2016.

 

Publications

[1] Li Ainong, Bian Jinhu, Jin Huaan. Mountain Remote Sensing. Science Press. 2016

[2] Li Ainong, Deng Wei, Zhao Wei. Land Cover Change and Its Eco-Environmental Responses in Nepal, Springer Nature, 2017

[3] 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

[4] 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

[5] 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

[6] 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

[7] 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

[8] 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

[9] 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

[10] 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

[11] 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

[12] 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

[13] 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

[14] 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

[15] 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

[16] 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

[17] 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

[18] 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