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    • Comparison of lake surface water temperature retrieval algorithms: A case study of Lake Qiandaohu

    • The latest research reveals the spatiotemporal distribution characteristics of surface temperature in Qiandao Lake, providing a new method for temperature monitoring of clean deep-water lakes and reservoirs.
    • Vol. 28, Issue 8, Pages: 2113-2130(2024)   

      Received:26 September 2022

      Published:07 August 2024

    • DOI: 10.11834/jrs.20232460     

    移动端阅览

  • Zhang L M,Mei G Z,Liu M L,Li Y,Shi K,Zhu M Y,Li H Y,Guo Y L and Wang J C. 2024. Comparison of lake surface water temperature retrieval algorithms: A case study of Lake Qiandaohu. National Remote Sensing Bulletin, 28(8):2113-2130 DOI: 10.11834/jrs.20232460.
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相关作者

TANG Yijie 同济大学 测绘与地理信息学院
WANG Qunming 同济大学 测绘与地理信息学院
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
Zhiwen CAI 华中农业大学 资源与环境学院 宏观农业研究院
Yunping CHEN 华中农业大学 植物科学技术学院
Xinyu ZHANG 华中农业大学 资源与环境学院 宏观农业研究院
Baodong XU 华中农业大学 资源与环境学院 宏观农业研究院;中国科学院空天信息创新研究院 遥感科学国家重点实验室

相关机构

College of Surveying and Geo-Informatics, Tongji 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
College of Urban and Environmental Sciences, Central China Normal University
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