Remote Sensing Applications in Digital Soil Mapping and Soil Property Modelling for Sustainable Agriculture
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 28 September 2025 | Viewed by 29
Special Issue Editor
Interests: soil; soil mapping; hydrological modeling; pedology; soil classification; soil analysis; soil characterization; soil and water conservation; geographical information systems (GIS)
Special Issue Information
Dear Colleagues,
Soil mapping plays a vital role in sustainable agriculture by enhancing our understanding of land use, agricultural productivity, and environmental stewardship. Healthy soils are essential for food production, water filtration, and ecosystem health. Accurate soil mapping informs sustainable agricultural practices and land conservation, yet predicting soil properties accurately across diverse landscapes remains a challenge due to the spatial variability of these characteristics.
Remote sensing serves as a powerful tool in digital soil mapping and soil property modeling, enabling the integration of extensive spatial data to effectively assess and predict soil properties. The combination of remote sensing with advanced predictive models improves our comprehension of soil distribution and its interactions with environmental factors. Incorporating ground-truth data into digital soil mapping is essential for refining these models and enhancing the accuracy of soil property predictions.
This Special Issue aims to explore advancements in digital soil mapping and soil property modeling through the lens of remote sensing for sustainable agriculture. We invite submissions showcasing innovative methodologies, techniques, and applications of remote sensing in agricultural soil studies. We welcome research articles, reviews, and case studies addressing the following topics:
- Remote sensing data acquisition and preprocessing techniques for mapping soil properties relevant to agriculture;
- Development and validation of models for predicting soil properties using remote sensing data;
- Applications of digital soil mapping in agricultural practices, land management, and soil conservation efforts;
- Evaluation of the effectiveness of remote sensing techniques and digital soil mapping in enhancing the accuracy and operational usability of soil property modeling;
- Case studies that demonstrate the impacts of digital soil mapping on soil health management and sustainable agricultural practices.
Dr. Hans Edwin Winzeler
Guest Editor
Manuscript Submission Information
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Keywords
- digital soil mapping
- modeling of soil properties
- sustainable agriculture
- remote sensing imagery
- soil properties prediction
- soil health
- environmental management
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