A Study on C-band Synthetic Aperture Radar Soil Moisture Estimation Based on Machine Learning Using Soil Physics, Topography, and Hydrological Information
In this study, we applied machine learning to estimate soil moisture levels in South Korea by harnessing data from the Sentinel-1 C-band synthetic aperture radar (SAR). Our approach incorporated not only the relationship between backscattering coefficients and soil moisture but also diverse physical...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
GeoAI Data Society
2023-09-01
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| Series: | Geo Data |
| Subjects: | |
| Online Access: | http://geodata.kr/upload/pdf/GD-2023-0026.pdf |