Integrating Multi-Source Remote Sensing and Soil Attributes through Ensemble Learning for Large-Scale Soil Organic Carbon Estimation
Accurate estimation of Soil Organic Carbon (SOC) is essential for sustainable land management, agricultural productivity, and climate change mitigation. This study presents a novel SOC estimation framework integrating machine learning with multispectral bands, vegetation and soil indices, topographi...
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| Главные авторы: | , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Copernicus Publications
2026-07-01
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| Серии: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online-ссылка: | https://isprs-annals.copernicus.org/articles/XI-3-2026/765/2026/isprs-annals-XI-3-2026-765-2026.pdf |
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