A global map assessing subsoil compaction risk for arable land due to farm machinery. The dataset includes three variables at a 0.1° x 0.1° resolution (~10 km), based on calculations from a publication by Thomas Keller and Dani Or. It was authored by Samuel Bickel of École Polytechnique Fédérale de Lausanne and is available under an Open Access license.
Use Cases
- Modeling soil stress and compaction risk based on the provided soil precompression stress variable.
- Assessing regional vulnerability of arable land to degradation based on the subsoil compaction susceptibility index (SCSI).
- Planning sustainable agricultural practices by analyzing the spatial distribution of soil stress from machinery.
Strengths
- Provides a global spatial coverage for arable land.
- Includes three specific modeled variables: soil precompression stress, soil stress, and a susceptibility index.
- Data is derived from a peer-reviewed scientific publication.
Limitations
- Row count and dataset size are unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- École Polytechnique Fédérale de Lausanne
- Collection Method
- Modeled calculation based on the publication 'Farm vehicles approaching weights of sauropods exceed safe mechanical limits for soil functioning'.
- Geography
- Global