Remote Sensing of Cryosphere | Views:624Downloads:1003CSCD:0
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    • Reconstruction of high spatiotemporal resolution snow cover remote sensing range data from multiple sources based on deep learning model: A case study in the Qilian Mountains

      • role:First author第一作者
      • Affiliation:

        College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China

      • Email:gaobo1125@link.tyut.edu.cn
      • Introduction:高博,研究方向为积雪遥感。E-mail:gaobo1125@link.tyut.edu.cn

      GAO Bo

      1,
      • role:Corresponding author通信作者
      • Affiliation:

        Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China

        Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China

      • Email:haoxh@lzb.ac.cn
      • Introduction:郝晓华,研究方向为积雪遥感、积雪与气候变化。E-mail:haoxh@lzb.ac.cn

      HAO Xiaohua

      23 * ,
      • Affiliation:

        College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China

      HE Dongcai

      1,
      • Affiliation:

        Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China

      ZHAO Qin

      2,
      • Affiliation:

        Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China

      JI Wenzheng

      2,
      • Affiliation:

        College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China

      REN Hongrui

      1,
      • Affiliation:

        Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China

        Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China

      LI Hongyi

      23,
      • Affiliation:

        Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China

        Xinjiang Taklamakan Desert Meteorological National Field Scientific Observation and Research Station, Urumqi 830002, China

      LIU Yan

      45,
      • Affiliation:

        College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China

      ZHU Ping

      6
    • Vol. 29, Issue 4, Pages: 867-882(2025)  
    • DOI:10.11834/jrs.20253541    

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