Soil Moisture Retrieval From Sentinel-1 and Sentinel-2 Data Using Ensemble Learning Over Vegetated Fields
Author:
Affiliation:
1. Harbin Engineering University, Harbin, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/10037202.pdf?arnumber=10037202
Reference64 articles.
1. Assessment of the SMAP Soil Emission Model and Soil Moisture Retrieval Algorithms for a Tibetan Desert Ecosystem
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3. A practical algorithm for estimating surface soil moisture using combined optical and thermal infrared data
4. Improvement of Boosting Algorithm by Modifying the Weighting Rule
5. Synergic Use of Sentinel-1 and Sentinel-2 Images for Operational Soil Moisture Mapping at High Spatial Resolution over Agricultural Areas
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