Models and Methods | Views : 0 下载量: 759 CSCD: 0

  • Export

  • Share

  • Collection

  • Album

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

    • “This study proposes a downscaled snow depth inversion algorithm that couples deep learning models with snow microwave radiation transmission models, 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.
  •  
  •  
Alert me when the article has been cited
提交

相关文章

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

College of Geomatics and Geoinformation, Guilin University of Technology
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences
Department of Geography and Spatial Information Techniques, Ningbo University
Institute of Earthquake Forecasting, China Earthquake Administration
Henan Earthquake Agency
0