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    • Spatial-temporal dynamic monitoring of Ulva prolifera in the South Yellow Sea based on Sentinel-1 SAR images

    • In the field of monitoring the southern Yellow Sea seaweed disaster, Chinese experts have proposed an automatic extraction scheme based on Sentinel-1 images, which has achieved dynamic monitoring of the region from May to July 2021, providing important information for disaster assessment and prevention and control strategy formulation.
    • Vol. 28, Issue 8, Pages: 2030-2044(2024)   

      Received:24 April 2022

      Published:07 August 2024

    • DOI: 10.11834/jrs.20242200     

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  • Tang P F,Du P J,Guo S C,Qie L and Fang H. 2024. Spatial-temporal dynamic monitoring of Ulva prolifera in the South Yellow Sea based on Sentinel-1 SAR images. National Remote Sensing Bulletin, 28(8):2030-2044 DOI: 10.11834/jrs.20242200.
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相关作者

HUANG Yuling 宁波大学 地理与空间信息技术系
YANG Gang 宁波大学 东海战略研究院东海海洋生态研究中心;宁波大学 地理与空间信息技术系;宁波陆海国土空间利用与治理协同创新中心
SUN Weiwei 宁波大学 东海战略研究院东海海洋生态研究中心;宁波大学 地理与空间信息技术系;宁波陆海国土空间利用与治理协同创新中心
ZHU Lin 宁波大学 地理与空间信息技术系
HUANG Ke 宁波大学 地理与空间信息技术系
MENG Xiangchao 宁波大学 信息科学与工程学院
Haodong WEI 华中农业大学 资源与环境学院 宏观农业研究院
Jingya YANG 华中农业大学 资源与环境学院 宏观农业研究院

相关机构

Department of Geography and Spatial Information Techniques, Ningbo University
Faculty of Electrical Engineering and Computer Science, Ningbo University
College of Resources and Environment, Macro Agriculture Research Institute, Huazhong Agricultural University
College of Plant Science & Technology, Huazhong Agricultural University
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute,Chinese Academy of Sciences
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