Soil Moisture Retrieval From Sentinel-1 and Sentinel-2 Data Using Ensemble Learning Over Vegetated Fields
Soil moisture (SM) is valuable basic data in climate, hydrological models, and agricultural applications. The rapid development of remote sensing technology can be used to monitor changes in SM at multiple spatial and temporal scales. In this article, we unfolded an SM retrieval method using ensembl...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2023-01-01
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| Serie: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/10037202/ |
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