Liu Xiangnan
Professor
Geographic information science and technology
China University of Geosciences Beijing
China
Biography
1983-1987: Hunan Normal University, Department of Geography, Geography, Bachelor 　　1987-1990: Department of Geography, Northeast Normal University, maps and remote sensing, a master's degree Postgraduate 　　1993-1996: Key Laboratory of Grassland Ecology Engineering, Northeast Normal University, Key Laboratory of Ecological Remote Sensing, Ph.D. 　　1996-1999: Key Laboratory of Forest Vegetation Ecology, Ministry of Education, Northeast Forestry University, Post-doctoral 　　1990-2005: Northeast Normal Department of Geography, lecturer, associate professor, professor, doctoral tutor 2006-present: China University of Geosciences (Beijing) Information Engineering, Professor, doctoral tutor
Research Interest
The main research interests include remote sensing geoscience application model, resource and environment remote sensing information mechanism, natural disaster remote sensing analysis and GIS spatial analysis and modeling. In recent years, the main research on remote sensing identification and inversion model of heavy metal pollution stress, remote sensing analysis of mineral alteration, GIS evaluation method of geological disaster and remote sensing of marine environment have been carried out
Publications
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Jiang Jiale, Liu Xiangnan *, Liu Chuanhao, Wu Ling, Xia Xiaopeng, Liu Meiling, Du Zhihong. Du Zhihong. Du Zhihong. Du Zhihong. Du Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8 (6): 3068-3080, 2015.
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Liu Feng,Liu Xiangnan*, Ding Chao,Wu Ling. The Dynamic Simulation of Rice Growth Parameters under Cadmium Stress with the Assimilation of Multi-Period Spectral Indices and Crop Model. Field Crops Research, 183: 225-234, 2015.
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Jin Ming,Liu Xiangnan*,Wu Ling, Liu Meiling. An Improved Assimilation Method with Stress Factors Incorporated in the Wofost Model for the Efficient Assessment of Heavy Metal Stress Levels in Rice. International Journal of Applied Earth Observation and Geoinformation, 41: 118-129, 2015.
