Assistant Professor School of Environmental Science and Engineering

Assistant Professor. Dr. Feng received his Ph.D. degree from Wuhan University, China. He was a postdoctoral researcher of the University of South Florida during 2015-2017. His research interests include remote sensing of inland and coastal water environments, and how these environments are influenced by climate variability and human activities. He is the recipient of the “Young Scientist Award” from the China Association for Environmental Sciences and the “Young Pearl River Scientist Award” from Guangdong Province. He is currently an Associate Editor for two scientific journals: IEEE Access and Remote Sensing in Earth System Sciences. He also severed as consultant for the National Oceanic and Atmospheric Administration of the USA, and the Geospatial Analysis Center for America University- Sharjah. He has been the PI/Co-PI of >10 funded projects, and He has published 60 peer-reviewed papers, more than half of which were appeared in TOP journals, such as Remote Sensing of Environment, Journal of Geophysical Research, and Environmental Science & Technology. His publications have been cited by >1900 times by Google Scholar (H-index:24), with the highest one of >280 times (ESI indexed highly cited paper). His research has been highlighted by a number of domestic and international media and agencies, such as the CCTV of China, NASA, NOAA, IOCCG, etc.

Personal Profile

Previous positions

01/2015-08/2017:Post-Doctoral Associate, University of South Florida, USA

07/2013-01/2015: Assistant Professor, Wuhan University, China

05/2012-02/2015: Consultant, NOAA Industrial Economics, Inc., USA

 

Educational history

09/2008-07/2013: Ph.D. in Remote Sensing & GIS application, Wuhan University, Wuhan, China

10/2010-10/2012: Exchange Ph.D. program, University of South Florida, USA

09/2004-07/2008: B.S. in GIS, Yangtze University, Hubei, China

 

Awards

Young Scientist Award from the Chinese Society for Environmental Sciences, 2019

Young Pearl River Scholar, 2018

 

Selected funded projects

Analysis and correction of external disturbances for quantitative water color remote sensing under complex environments, Funded by the National Natural Science Foundation of China (NSFC), PI, 610,000 RMB

The spatial and temporal dynamics of the major wetland vegetation communities in Poyang Lake under a changing “water depth”- A remote sensing based study, Funded by the National Natural Science Foundation of China (NSFC), PI, 650,000 RMB

Remote sensing of the spatial and temporal dynamics of Chlorophyll-a concentrations in river-connected lakes based on optical type classification - taken Poyang Lake as an example, Funded by the National Natural Science Foundation of China (NSFC), PI, 250,000 RMB

Remote sensing based spatio-temporal dynamics of Poyang Lake’s water budget and suspended sediment and their driving forces, Funded by the National Natural Science Foundation of China (NSFC), co-PI

 

Research Interests

Remote sensing of inland waters

Water quality algorithm development and applications

Water environmental changes in response to climate variability and human activities

Satellite instrument design and radiometric calibration 

 

Doctoral supervision

2019-present, Qi Guan, Dept. of Geosciences and Natural Resource Management, University of Copenhagen, Denmark

2019-present, Yan Tong,School of Environmental Science and Engineering, South University of Science and Technology, China

2019-present, Dan Zhao, School of Environmental Science and Engineering, South University of Science and Technology, China

2015-present, Xuejiao Hou, University of Wuhan, State Key Laboratory of Information Engineering in Surveying, China

 

Publications (* indicate corresponding author)

Feng, L., Hou, X., & Zheng, Y. (2019). Monitoring and understanding the water transparency changes of fifty large lakes on the Yangtze Plain based on long-term MODIS observations. Remote Sensing of Environment, 221, 675-686

Feng, L., Liu, J., Ali, T., Li, J., et al. (2019). Impacts of the decreased freeze-up period on primary production in Qinghai Lake. Int J Appl Earth Obs Geoinformation 83: 101915

Feng, L., Hou, X., Li, J., & Zheng, Y. (2018). Exploring the potential of Rayleigh-corrected reflectance in coastal and inland water applications: A simple aerosol correction method and its merits. ISPRS Journal of Photogrammetry and Remote Sensing, 146, 52-64

Feng, L., Hu, C., & Li, J (2018). Can MODIS Land Reflectance Products be used for estuarine and inland waters? Water Resources Research. https://doi.org/10.1029/2017WR021607 (Cover paper)

Feng, L., Chuanmin Hu: Land adjacency effects on MODIS Aqua top-of-atmosphere radiance in the shortwave infrared: Statistical assessment and correction. Journal of Geophysical Research: Oceans 05/2017; DOI:10.1002/2017JC012874

Feng, L., Chuanmin Hu, Brian Barnes, Antonio Mannino, Andrew K. Heidinger, Kathleen Strabala, Laura T. Iraci: Cloud and sun-glint statistics derived from GOES and MODIS observations over the Intra-Americas Sea for GEO-CAPE mission planning: GOES cloud statistics for GEO-CAPE. Journal of Geophysical Research Atmospheres 12/2016;, DOI:10.1002/2016JD025372

Feng, L., Xingxing Han, Chuanmin Hu, Xiaoling Chen: Four decades of wetland changes of the largest freshwater lake in China: Possible linkage to the Three Gorges Dam?. Remote Sensing of Environment 04/2016; 176:43-55., DOI:10.1016/j.rse.2016.01.011

Feng, L., Chuanmin Hu: Cloud adjacency effects on top-of-atmosphere radiance and ocean color data products: A statistical assessment. Remote Sensing of Environment 03/2016; 174:301-313., DOI:10.1016/j.rse.2015.12.020

Feng, L., Juan Li, Weishu Gong, Xi Zhao, Xiaoling Chen, Xiaoping Pang: Radiometric cross-calibration of Gaofen-1 WFV cameras using Landsat-8 OLI images: A solution for large view angle associated problems. Remote Sensing of Environment 03/2016; 174:56-68., DOI:10.1016/j.rse.2015.11.031

Feng, L., Chuanmin Hu: Comparison of Valid Ocean Observations Between MODIS Terra and Aqua Over the Global Oceans. IEEE Transactions on Geoscience and Remote Sensing 01/2015; 54(3):1-11., DOI:10.1109/TGRS.2015.2483500

 

Research

1.Remote sensing algorithm and application of water environment

2.Remote sensing reserch of water environment in lakes and coastal areas under the influence of climate change and human activities

3.Parameter design and radiometric calibration of satellite sensor


Teaching

Introduction to remote sensing

Remote sensing of resources and environment

Quantitative remote sensing


Publications Read More

Remote sensing dynamic monitoring method of water quality and quantity about Poyang Lake

Remote sensing monitoring technology of red tide in coastal zone

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South university of science and technology, 1088 xueyuan avenue, nanshan district, shenzhen

Office Phone

0755-88018050

Email

fengl AT sustech.edu.cn

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