Digital Soil Mapping for Soil Health Monitoring in Agricultural Lands
A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land, Soil and Water".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 181
Special Issue Editors
Interests: digital soil mapping and modeling; pedometrics; soil modeling; soil threats; soil health; land degradation
Interests: urban soil mapping; digital soil mapping; pedodiversity; soil transformation; SUITMAs; spatial analyzes
Interests: soil science; pedometrics; geostatistics; precision agriculture; hydrology and water resources
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Soil health assessment and monitoring are essential for evaluating the capacity of soils to support productivity and delivery ecosystem services through different soil functions. Soils are also threatened because of changes in climate, landuse, and management. As a result, millions of hectares of agricultural land are degraded annually worldwide, affecting soil health and its capacity to deliver essential ecosystem services. Moreover, farmers, consultants, and decision makers for different purposes need detailed knowledge of soils. Therefore, there is an increasing interest in measuring and mapping soil properties as indicators of soil health at different spatial scales for soil management and for preventing, controlling, and monitoring degradation processes. In this context, digital soil mapping (DSM) is a valuable tool to enhance the understanding of spatial soil variability at a feasible cost and reproducibility. Particularly, DSM is suitable for benefiting from many measuring technology advances, such as proximal and remote sensing, as well as statistical, geostatistical, and machine learning approaches for modelling and mapping soil variation.
This Special Issue welcome the submission of original research articles and review articles focusing on DSM for soil properties, threats, degradation, function and ecosystem service estimations, long-term projections under global change’s influence, new DSM techniques, and mapping and modelling using proximal and remote sensing.
We look forward to receiving your original research articles and reviews.
Dr. João Augusto Coblinski
Dr. Sylwia Pindral
Dr. Gabriele Buttafuoco
Guest Editors
Manuscript Submission Information
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Keywords
- digital soil mapping
- pedometrics
- remote sensing
- proximal sensing
- soil functions
- soil threats
- soil ecosystem services
- soil modelling
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