Talent details

Name:Min Feng
Title & Affiliation:Ph.D, Professor
Homepage in Chinese:http://sourcedb.itpcas.cas.cn/cn/expert/201906/t20190611_5320980.html
Address:Building 3, 15 Datun Road, Chaoyang District, Beijing, 100101, China

Education and Appointments


Ph.D. in Cartography and Geographic Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China, 2008

M.S. in Cartography and Geographic Information System, Lanzhou University, Lanzhou, China, 2005 

B.S. in Physical Geography, Lanzhou University, Lanzhou, China, 2002 


April 2019 ~ present, Professor, Institute of Tibetan Plateau Research (ITP), Chinese Academy of Sciences, Beijing, China 

March 2014 ~April 2019 Assistant Research Professor. Global Land Cover Facility (GLCF), Department of Geographical Sciences, University of Maryland, College Park, MD, USA 

October 2016 ~ June 2017, Geospatial Consultant, World Bank, USA 

February 2009 ~ May 2014 Research Associate. Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA 

July 2008 ~ October 2013 Assistant Researcher, Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences, Beijing, China 

October 2007 ~ March 2008 Visiting Scientist at UNEP/GRID-Sioux Falls, Sioux Falls, SD, USA

Research Interest

Research Interests: Calibration and fusion of multi-sources, multi-types of remote sensing data; Long term forest and water monitoring and analysis; Periglacial landforms identification using Deep learning

Research Fields: land cover with remote sensing big data

Selected Publications

Publications in the recent 5 years (2016-2020) (* corresponding author; # joint first authors; Including books and book chapters)
Part 1: 5 representative publications 
1. Feng, M., Li, X., 2020. Land cover mapping toward finer scales. Science Bulletin. https://doi.org/10.1016/j.scib.2020.06.014
2. Che, X., Feng, M.*, Sexton, J., Channan, S., Sun, Q., Ying, Q., Liu, J., Wang, Y., 2019. Landsat-Based Estimation of Seasonal Water Cover and Change in Arid and Semi-Arid Central Asia (2000–2015). Remote Sensing. 11, 1323. https://doi.org/10.3390/rs11111323
3. Feng, M., Sexton, J.O., Huang, C., Anand, A., Channan, S., Song, X.-P., Song, D.-X., Kim, D.-H., Noojipady, P., Townshend, J.R., 2016. Earth Science Data Records of Global Forest Cover and Change: Assessment of Accuracy in 1990, 2000, and 2005 epochs. Remote Sensing of Environment. 184, 73–85. https://doi.org/10.1016/j.rse.2016.06.012
4. Feng, M., Sexton, J.O., Channan, S., Townshend, J.R., 2016. A global, high-resolution (30-m) inland water body dataset for 2000: first results of a topographic–spectral classification algorithm. International Journal of Digital Earth. 9, 113–133. https://doi.org/10.1080/17538947.2015.1026420
5. Sexton, J.O., Noojipady, P., Song, X.-P., Feng, M., Song, D., Kim, D., Anand, A., Huang, C., Channan, S., Pimm, S.L., Townshend, J.R., 2016. Conservation policy and the measurement of forests. Nature Climate. Chang. 6, 192–196. https://doi.org/10.1038/NCLIMATE2816
Part 2: all other publications (exclude part 1)
6. Feng, M., Bai, Y., 2019. A global land cover map produced through integrating multi-source datasets. Big Earth Data 3, 191–219. https://doi.org/10.1080/20964471.2019.1663627
7. Montesano, P.M., Neigh, C.S.R., MacAnder, M., Feng, M., Noojipady, P., 2020. The bioclimatic extent and pattern of the cold edge of the boreal forest: The circumpolar taiga-tundra ecotone. Environmental Research Letters. 15. https://doi.org/10.1088/1748-9326/abb2c7
8. Immerzeel, W.W., Lutz, A.F., Andrade, M., Bahl, A., Biemans, H., Bolch, T., Hyde, S., Brumby, S., Davies, B.J., Elmore, A.C., Emmer, A., Feng, M., Fernández, A., Haritashya, U., Kargel, J.S., Koppes, M., Kraaijenbrink, P.D.A., Kulkarni, A. V., Mayewski, P.A., Nepal, S., Pacheco, P., Painter, T.H., Pellicciotti, F., Rajaram, H., Rupper, S., Sinisalo, A., Shrestha, A.B., Viviroli, D., Wada, Y., Xiao, C., Yao, T., Baillie, J.E.M., 2020. Importance and vulnerability of the world’s water towers. Nature 577, 364–369. https://doi.org/10.1038/s41586-019-1822-y
9. Zhao, H., Chen, Z., Jiang, H., Jing, W., Sun, L., Feng, M., 2019. Evaluation of Three Deep Learning Models for Early Crop Classification Using Sentinel-1A Imagery Time Series—A Case Study in Zhanjiang, China. Remote Sensing 11, 2673. https://doi.org/10.3390/rs11222673
10. Song, D., He, T., Feng, M., 2019. Evaluation of forest disturbance and its patch size distribution in china from remote sensing product, in: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. Presented at the IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 1–4. https://doi.org/10.1109/IGARSS40859.2019.8950029
11. Shi, H., Auch, R.F., Vogelmann, J.E., Feng, M., Rigge, M., Senay, G., Verdin, J.P., 2018. Case Study Comparing Multiple Irrigated Land Datasets in Arizona and Colorado, USA. JAWRA Journal of the American Water Resources Association. 54, 505–526.
12. Che, X., Feng, M.*, Sexton, J.O., Channan, S., Yang, Y., Sun, Q., 2017. Assessment of MODIS BRDF/Albedo Model Parameters (MCD43A1 Collection 6) for Directional Reflectance Retrieval. Remote Sensing. 9, 1123. https://doi.org/10.3390/rs9111123
13. Miao, R., Song, J., Feng, M., 2017. A feature selection approach towards progressive vector transmission over the Internet. Computer & Geosciences. 106, 150–163.
14. Zhu, Y., Zhu, A.X., Feng, M., Song, J., Zhao, H., Yang, J., Zhang, Q., Sun, K., Zhang, J., Yao, L., 2017. A similarity-based automatic data recommendation approach for geographic models. International Journal of Geographical Information Science. 31, 1403–1424. https://doi.org/10.1080/13658816.2017.1300805
15. Zhu, Y., Zhu, A.X., Song, J., Yang, J., Feng, M., Sun, K., Zhang, J., Hou, Z., Zhao, H., 2017. Multidimensional and quantitative interlinking approach for Linked Geospatial Data. International Journal of Digital Earth. 10, 923–943. https://doi.org/10.1080/17538947.2016.1266041
16. Che, X., Yang, Y., Feng, M., Xiao, T., Huang, S., Xiang, Y., Chen, Z., 2017. Mapping Extent Dynamics of Small Lakes Using Downscaling MODIS Surface Reflectance. Remote Sensing. 9, 82.
17. Montesano, P.M., Neigh, C.S.R., Sexton, J., Feng, M., Channan, S., Ranson, K.J., Townshend, J.R.G., 2016. Calibration and Validation of Landsat Tree Cover in the Taiga- Tundra Ecotone. Remote Sensing. 8, 5–7. https://doi.org/10.3390/rs8070551