This study focuses on a 100,000-hectare area in the arid Bam region of Iran, aiming to better map and manage complex soil variations. To do this, the researchers blended traditional soil science with modern digital mapping. They took topsoil samples from 116 locations to analyze key properties like texture, salinity, and organic matter. By combining advanced geostatistical interpolation with digital elevation models and satellite data, they grouped the landscape into four distinct, homogeneous zones. Ultimately, the study shows that mixing classic soil data with digital tools is a highly effective way to map land and help managers make smarter decisions for local agriculture and land-use planning.
A Two-Step Soil Modelling Approach by Integrating Pedological Classification in Digital Mapping with Non-Stationary Geostatistics
Belmonte, A.;
2024
Abstract
This study focuses on a 100,000-hectare area in the arid Bam region of Iran, aiming to better map and manage complex soil variations. To do this, the researchers blended traditional soil science with modern digital mapping. They took topsoil samples from 116 locations to analyze key properties like texture, salinity, and organic matter. By combining advanced geostatistical interpolation with digital elevation models and satellite data, they grouped the landscape into four distinct, homogeneous zones. Ultimately, the study shows that mixing classic soil data with digital tools is a highly effective way to map land and help managers make smarter decisions for local agriculture and land-use planning.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
