Author(s): C Vairavan, BM Kamble, AG Durgude, Snehal R Ingle and K Pugazenthi

Abstract: DSM plays a crucial role in addressing the challenges posed by soil degradation, land-use change, and global food security. By providing detailed spatial information on soil properties such as texture, organic matter content, pH, and nutrient levels, DSM enables more precise land management decisions. Farmers can optimize crop selection, irrigation, and fertilization practices based on soil maps generated through DSM, leading to improved agricultural productivity and reduced environmental impact. Moreover, DSM supports ecosystem management and conservation efforts by facilitating the identification of areas vulnerable to erosion, desertification, or pollution. Conservationists can use DSM outputs to design targeted interventions for soil restoration and biodiversity conservation. Overall, the integration of DSM into soil science and land management practices offers numerous benefits, including enhanced resource efficiency, improved decision-making, and better resilience to environmental challenges. However, challenges such as data availability, model validation, and uncertainty quantification remain significant hurdles in realizing the full potential of DSM. Addressing these challenges requires interdisciplinary collaboration among soil scientists, geographers, remote sensing specialists, and policymakers to advance the field and harness its potential for sustainable development.

DOI: 10.33545/26174693.2024.v8.i3Sj.879