| Autor: |
Naseri, Saeed, Farhadi Bansouleh, Bahman, Hassanpour, Bahareh, Azari, Arash |
| Předmět: |
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| Zdroj: |
Journal of Spatial Science; Jan2024, Vol. 69 Issue 1, p181-202, 22p |
| Abstrakt: |
Nine remote sensing-based surface soil moisture (SSM) estimation models using images from Landsat 8, Sentinel-2 and Sentinel-1 satellites were compared. To evaluate these models, we measured SSM at 179 locations in a 50-ha sunflower field. The result showed that the Water Cloud-based model, a semi-empirical regression model, which used the synergy of Landsat 8 and Sentinel-1 data, was the best model, with an R2 of 0.73 and RMSE of 0.053 m3/m3. In sum, with the integration of images from multiple satellites, soil moisture maps with suitable spatial resolutions were retrieved that may be used for irrigation planning. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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