Spatial prediction of soil bulk density in Switzerland at 30 m resolution
收藏Zenodo2025-10-27 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.15274428
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资源简介：
The soil bulk density (BD) maps were developed using the quantile random forest machine learning algorithm, integrating remotely sensed and derived environmental covariates including terrain, climate, vegetation, and soil properties. The BD maps are provided at a 30-meter spatial resolution for multiple soil depths (0, 30, 60, and 100 cm) in GeoTIFF format.
Each map includes the mean predicted bulk density along with associated uncertainty estimates.
Units: g/cm³
Other soil property maps for Switzerland including soil organic carbon (SOC), clay, sand, nitrogen, and phosphorus can be downloaded here: https://doi.org/10.5281/zenodo.7821649
The Coarse fragment map for Switzerland can be downloaded from: https://doi.org/10.5281/zenodo.17453998
Citation / Further Information:Gupta, S., Scheper, S., Alewell, C. (2025). Mapping Swiss Soil Bulk Density at 30 m Resolution: Insights from Machine Learning, Environmental Covariates, and National Data. Manuscript submitted to International Journal of Applied Earth Observation and Geoinformation.
提供机构：
Zenodo
创建时间：
2025-04-24
