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    • Remote sensing for monitoring abnormal crop growth under sudden floods in arid regions: A case study of the July 2025 flood in the Tumochuan Plain

    • “At the end of July 2025, Tumochuan Plain in Inner Mongolia was hit by a rare rainstorm flood. The researchers proposed a multi temporal Sentinel-2 image refined water body recognition method integrating water body comprehensive index and morphological processing, established a precise recognition system for flood inundation, and provided solutions to the rapid identification and post disaster assessment of extreme hydrological events in arid areas.”
      • role:First author第一作者
      • Affiliation:

        School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China

        Jiangsu Provincial Key Laboratory for Advanced Remote Sensing and Geographic Information Technology, Nanjing 210023, China

        Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Nanjing 210023, China

      • Email:bingwang@smail.nju.edu.cn
      • Introduction:王炳,研究方向为遥感时间序列处理与地学分析。E-mail: bingwang@smail.nju.edu.cn

      WANG Bing

      ,
      • role:Corresponding author通信作者
      • Affiliation:

        School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China

        Jiangsu Provincial Key Laboratory for Advanced Remote Sensing and Geographic Information Technology, Nanjing 210023, China

        Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Nanjing 210023, China

      • Email:peijun@nju.edu.cn
      • Introduction:杜培军,研究方向为城市遥感与地理空间智能。E-mail: peijun@nju.edu.cn

      DU Peijun

      * ,
      • Affiliation:

        School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China

        Jiangsu Provincial Key Laboratory for Advanced Remote Sensing and Geographic Information Technology, Nanjing 210023, China

        Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Nanjing 210023, China

      GUO Shanchuan

    • Vol. 30, Issue 5, Pages: 1341-1356(2026)  
    • DOI:10.11834/jrs.20265461    

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