On the Synergy of SMAP and AMSR2 for Estimating Snow Depth on Arctic Sea Ice
Author:
Affiliation:
1. School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai, China
Funder
National Key Research and Development Program of China
Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/9651998/09813705.pdf?arnumber=9813705
Reference31 articles.
1. Robust Statistics
2. Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations
3. Arctic-scale assessment of satellite passive microwave-derived snow depth on sea ice using Operation IceBridge airborne data
4. Sensitivity of passive microwave snow depth retrievals to weather effects and snow evolution
5. Lake Icepack and Dry Snowpack Thickness Measurement Using Wideband Autocorrelation Radiometry
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Toward Daily Snow Depth Estimation on Arctic Sea Ice During the Whole Winter Season From Passive Microwave Radiometer Data;IEEE Transactions on Geoscience and Remote Sensing;2024
2. Triple Collocation-Based Merging of Winter Snow Depth Retrievals on Arctic Sea Ice Derived From Three Different Algorithms Using AMSR2;IEEE Transactions on Geoscience and Remote Sensing;2023
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