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    • Research progress on remote sensing assessment of lake nutrient status and retrieval algorithms of characteristic parameters

    • Vol. 26, Issue 1, Pages: 77-91(2022)   
    • DOI: 10.11834/jrs.20221232     

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  • Botian ZHOU, Yayan ZHANG, Kun SHI. Research progress on remote sensing assessment of lake nutrient status and retrieval algorithms of characteristic parameters. [J]. National Remote Sensing Bulletin 26(1):77-91(2022) DOI: 10.11834/jrs.20221232.
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Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences
School of Geography and Information Engineering,China University of Geosciences
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Land Satellite Remote Sensing Application Center,Ministry of Natural Resources
Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Peking University
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