Zhongbin B. Li
Zhongbin B. Li
Professor
3SD Lab (Big Satellite Data Lab for Scientific Discoveries and Sustainable Development)
School of Remote Sensing and Information Engineering, Wuhan University, China
My publication record: Google scholar
PhD student opportunities 🌍
The 3SD Lab is inviting applications from prospective PhD students worldwide! We encourage candidates to apply for the Chinese Government Scholarship (more information available at campuschina.org).
Join us to collaborate on exciting topics such as land change science, environmental remote sensing, spatial planning for renewable energy deployment, sustainable development goals, and climate change mitigation.
Research topics: land change science, remote sensing of environment, spatial expansion of renewable energy and its consequences, sustainable development goals, multi-source satellite data fusion, climate change mitigation, etc.
Global Change
Sustainable Development
Climate Change Mitigation
Remote Sensing of Environment
Multi-Source Satellite Data Fusion
Ph.D. The Hong Kong Polytechnic University, HK, 2016, GIS and RS
M.S. Tongji University, Shanghai, China, 2012, Surveying Engineering
B.S. Liaoning Technical University (100 People Class), Fuxin, China, 2009, Surveying Engineering
07/2021 - Present Professor School of Remote Sensing and Information Engineering, Wuhan University, China
06/2021 - 11/2023 Adjunct Professor-Fixed Term CGCEO, Michigan State University, MI, USA
05/2019 - 05/2021 Assistant Professor-Fixed Term CGCEO, Michigan State University, MI, USA
07/2016 - 05/2019 Postdoctoral Research Fellow GSCE, South Dakota State University, SD, USA
03/2016 - 05/2016 Research Associate LSGI, The Hong Kong Polytechnic University, HK, China
02/2015 - 05/2015 Visiting PhD Student SGSUP, Arizona State University, AZ, USA
04/2012 - 09/2012 Research Assistant Tongji University, Shanghai, China
Young Editorial Board Member - Journal of Remote Sensing (Jan 2022 - Dec 2027)
Young Editorial Board Member - Geo-spatial Information Science (Nov 2022 - Dec 2025)
Guest Editor - International Journal of Applied Earth Observation and Geoinformation (2022)
Fan, B., Zhang, H.K.*, Li, Z.B.*, Xiao, J., Che, X., Liu, Z., Camps-Valls, G., and Chen, J.M., 2025. Estimating carbon fluxes over North America using a physics-constrained deep learning model (Manuscript is publicly available). ISPRS J PHOTO & RS.
Sun, Y., Wang, M.*, Liu, M., Li, Z.B.*, Chen, Z., and Huang, B., 2024. Continuous Sargassum monitoring across the Caribbean Sea and Central Atlantic using multi-sensor satellite observations. RSE.
Li, Z.B., Zhang, Y., and Wang, M., 2023. Solar energy projects put food security at risk. Science.
He, L., Li, Z., Jia, Q., and Xu, Z., 2023. Soil microplastics pollution in agriculture. Science.
Zhai, Y., Roy, DP., Martins, S., Zhang, H.K., Yan, Li., and Li, Z., 2022. Conterminous United States Landsat-8 top of atmosphere and surface reflectance tasseled cap transformation coefficients. RSE.
Jiang, Q., Li, Z., Qu, S., Cui, Y., Zhang, H., and Xu, Z., 2021. High-resolution map of China's sustainability. Resources, Conservation and Recycling.
Li, Z., Roy, D.P., Zhang, H.K., 2021. The incidence and magnitude of the hot-spot bidirectional reflectance distribution function (BRDF) signature in GOES-16 Advanced Baseline Imager (ABI) 10 and 15 minute reflectance over north America. RSE.
Lu, P., Qin, Y., Li, Z.*, Mondini, A., and Casagli, N., 2019. Landslide Mapping from Multi-Sensor Data through Improved Change Detection-based Markov Random Field. RSE.
Li, Z., Shi, W., Myint, S.W., Lu, P. and Wang, Q., 2016. Semi-automated landslide inventory mapping from bitemporal aerial photographs using change detection and level set method. RSE.
Li, Z., Shi, W., Lu, P., Yan, L., Wang, Q. and Miao, Z., 2016. Landslide mapping from aerial photographs using change detection-based Markov random field. RSE.
Roy, D.P., Li, Z., Zhang, H.K., Huang, H., 2020. A conterminous United States analysis of the impact of Landsat 5 orbit drift on the temporal consistency of Landsat 5 Thematic Mapper data. RSE.
Wang, Q., Shi, W., Li, Z. and Atkinson, P.M., 2016. Fusion of Sentinel-2 images. RSE.
Yan, L., Roy, D.P., Li, Z., Zhang, H.K. and Huang, H., 2018. Sentinel-2A multi-temporal misregistration characterization and an orbit-based sub-pixel registration methodology. RSE.
Zhang, H.K., Roy, D.P., Yan, L., Li, Z., Huang, H., Vermote, E., Skakun, S. and Roger, J.C., 2018. Characterization of Sentinel-2A and Landsat-8 top of atmosphere, surface, and nadir BRDF adjusted reflectance and NDVI differences. RSE.
Roy, D.P., Huang, H., Boschetti, L., Giglio, L., Yan, L., Zhang, H.K., Li, Z., 2019. Landsat-8 and Sentinel-2 burned area mapping - a combined sensor multi-temporal change detection approach. RSE.
Roy, D.P., Li, J., Zhang, H.K., Yan, L., Huang, H. and Li, Z., 2017. Examination of Sentinel-2A multispectral instrument (MSI) reflectance anisotropy and the suitability of a general method to normalize MSI reflectance to nadir BRDF adjusted reflectance. RSE.