Spatiotemporal Variations in Land Use and Soil Quality Using Spatial Information Technology
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Soils".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 17
Special Issue Editor
Interests: remote sensing; digital soil mapping; multispectral satellite; hyperspectral satellite; water stress; soil spectral library; precision agriculture; salinity; modelling; land degradation; soil degradation; erosion
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the past few decades, rapid changes in land use and land cover (LULC) have exerted significant pressure on soil systems, often leading to degradation in soil quality, fertility, and ecosystem services. These transformations are tightly interlinked with agricultural expansion, urbanization, deforestation, and climate variability. Spatial information technologies—such as remote sensing, GIS, GNSS, and geospatial modeling—have become essential tools in monitoring, mapping, and analyzing spatiotemporal patterns of land use and their impacts on soil health across multiple scales.
This Special Issue aims to bring together original research and reviews that advance the understanding of how land use dynamics influence soil quality and how spatial data and analytics can support sustainable land management. We particularly welcome contributions that integrate multi-source Earth observation data, machine learning approaches, time-series analysis, or spatially explicit modeling to detect trends, quantify impacts, and propose data-driven solutions.
We are soliciting papers focused on topics including, but not limited to, spatiotemporal assessment of soil degradation; land productivity and carbon dynamics; precision agriculture applications; land use change detection; and the development of spatial indicators for soil quality monitoring. Case studies, methodological innovations, and policy-oriented research with a clear spatial component are especially encouraged.
Dr. Nada Mzid
Guest Editor
Manuscript Submission Information
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Keywords
- land use change
- soil quality
- remote sensing
- GIS
- spatial analysis
- earth observation
- spatiotemporal modeling
- precision agriculture
- soil degradation
- sustainable land management
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