Evaluation of Global Data for National-Scale Soil Depth Mapping in Data-Scarce Regions: A Case Study from Sri Lanka

High-resolution soil depth maps are valuable for environmental modelling, yet reliable data remains scarce in the tropics. This study evaluates the feasibility of mapping depth to bedrock (DTB) in Sri Lanka using a legacy dataset (n = 88) and global environmental covariates (n = 247). A robust machi...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Ebrahim Jahanshiri, Eranga M. Wimalasiri, Yinan Yu, Ranjith B. Mapa
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-04-01
Schriftenreihe:	Soil Systems
Schlagworte:	depth-to-bedrock digital soil mapping machine learning ensemble model Sri Lanka soil depth
Online-Zugang:	https://www.mdpi.com/2571-8789/10/4/47
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