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September 16, 2025Open Access

Soil information and soil property maps for the Kurdistan region, Dohuk governorate (Iraq)

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Authors

MBMathias BellatMZMjahid ZebariBGBenjamin Glissman

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Overview

Mapping soil properties and depths in Dohuk using digital techniques shows improved accuracy, implying valuable insights for arid zones.

Key Points

  • The model outperformed global predictions, showing strong accuracy in soil property maps for the region.
  • Soil depth and texture maps were generated using advanced machine learning techniques, with significant results including RMSEs of sand and clay.
  • Quantile random forest was identified as a key predictive model, achieving the best performance across many assessments in the study.
  • Spatial patterns revealed differences between flat plains and steeper valley areas, highlighting the region's diverse soil characteristics.

Cite This Study

Bellat et al. (2025) studied this question.

synapsesocial.com/papers/68d4507931b076d99fa57e76https://doi.org/10.5194/essd-2025-418
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