A Novel Method for Snow Depth Retrieval Using Improved Dense Medium RVoG Model-Reference-Cited by-同舟云学术

A Novel Method for Snow Depth Retrieval Using Improved Dense Medium RVoG Model

Published:2024 Issue: Volume:17 Page:1874-1884
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Qiao Haiwei¹^ORCID,Zhang Ping²^ORCID,Li Zhen²^ORCID,Huang Lei²,Wu Zhipeng²,Gao Shuo³^ORCID,Liu Chang²^ORCID,Liang Shuang²,Zhou Jianmin²^ORCID,Sun Wei⁴,Wang Jian⁵

Affiliation:

1. Key of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

2. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

3. National Engineering Laboratory for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

4. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

5. School of Spatial Informatics and Geomatics Engineering, Anhui University of Science and Technology, Huainan, China

Funder

National Key Research and Development Program of China

International Partnership Program of the Chinese Academy of Sciences

Key Deployment Program of AIRCAS

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

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