Estimation of Sea Ice Thickness Using FY-3E Data Based on Random Forest Method
Author:
Affiliation:
1. Nanjing University of Information Science and Technology,School of Remote Sensing and Geomatics Engineering,Nanjing,China,210044
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10616250/10617814/10618698.pdf?arnumber=10618698
Reference11 articles.
1. Uncertainties in Arctic sea ice thickness and volume: new estimates and implications for trends
2. Sensing Sea Ice Based on Doppler Spread Analysis of Spaceborne GNSS-R Data
3. Spaceborne GNSS-R Sea Ice Detection Using Delay-Doppler Maps: First Results From the U.K. TechDemoSat-1 Mission
4. Neural Networks Based Sea Ice Detection and Concentration Retrieval From GNSS-R Delay-Doppler Maps
5. Sea Ice Sensing From GNSS-R Data Using Convolutional Neural Networks
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