Soil Organic Carbon estimation using Sentinel-2 optical remote sensing time series data
收藏International Potato Center2025-01-01 更新2026-05-11 收录
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https://data.cipotato.org/citation?persistentId=doi:10.21223/P3/8FVH0K
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资源简介：
This R implementation models and predicts Soil Organic Carbon (SOC) content using machine learning techniques. It analyzes the influence of soil physicochemical properties, historical climate data, and multi-year cropland frequencies on SOC levels.
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创建时间：
2025-01-01
