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    • Snow depth downscaling algorithm using coupled deep learning and microwave radiative transfer model driven by multi-source remote sensing data

    • This report introduces a downscaled snow depth inversion algorithm based on multi-source remote sensing data, providing high spatiotemporal resolution snow depth data for hydrological modeling and disaster forecasting.
    • Vol. 29, Issue 5, Pages: 1273-1289(2025)   

      Received:26 December 2023

      Published:07 May 2025

    • DOI: 10.11834/jrs.20253540     

    移动端阅览

  • Zhao Z S,Hao X H,Ren H R,Luo S Q,Dai L Y,Shao D H,Feng T W,Zhao Q,Ji W Z and Liu Y. 2025. Snow depth downscaling algorithm using coupled deep learning and microwave radiative transfer model driven by multi-source remote sensing data. National Remote Sensing Bulletin, 29(5):1273-1289 DOI: 10.11834/jrs.20253540.
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相关作者

ZHAO Zisheng 太原理工大学 矿业工程学院
HAO Xiaohua 中国科学院西北生态环境资源研究院 甘肃省遥感重点实验室;中国科学院西北生态环境资源研究院 黑河遥感试验研究站
REN Hongrui 太原理工大学 矿业工程学院
LUO Siqiong 中国科学院西北生态环境资源研究院 寒旱区陆面过程与气候变化重点实验室
DAI Liyun 中国科学院西北生态环境资源研究院 甘肃省遥感重点实验室
SHAO Donghang 中国科学院西北生态环境资源研究院 甘肃省遥感重点实验室
FENG Tianwen 兰州交通大学 测绘与地理信息学院
ZHAO Qin 中国科学院西北生态环境资源研究院 甘肃省遥感重点实验室

相关机构

Faculty of Geography Science, Beijing Normal University
School of Geography and Planning, Sun Yat-sen University
Institute of Geographic Sciences and Resources, Chinese Academy of Sciences
Aerospace information Research Institute, Chinese Academy of Sciences
College of Geomatics and Geoinformation, Guilin University of Technology
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