Novel GIS Tool for Soil Research
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".
Deadline for manuscript submissions: 20 February 2025 | Viewed by 1009
Special Issue Editors
2. Academy of Romanian Scientists, Ilfov 3, 050044 Bucharest, Romania
Interests: multirisk; soil favourability; GIS; statistical analysis; drones
Special Issues, Collections and Topics in MDPI journals
Interests: GIS; soil sciences
Special Issues, Collections and Topics in MDPI journals
Interests: GIS; risk assessment; soil studies; spatial planning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
By offering comprehensive maps of soil characteristics, GIS is playing a significant role in precision agriculture, assisting farmers in increasing crop yields, reducing environmental impacts, and optimizing resource use. GIS helps with land use planning by aiding in the design of sustainable development projects and the evaluation of soil compatibility, protecting agricultural areas and natural resources.
Using spatially explicit environmental features and field surveys, digital soil mapping (DSM) creates geographically referenced soil databases with degradation indicators to map and track soil health and provide insights into problems like erosion, loss of soil biodiversity, and soil organic carbon loss.
Soil research is being revolutionized by the application of AI and machine learning in GIS, remote sensing, and drones. Large datasets can be processed by AI/ML algorithms to find patterns, automate difficult processes such as feature extraction, and improve predictive modeling. The environmental monitoring and assessment of soil health are more accurate and efficient thanks to these technologies.
These developments show that GIS techniques are becoming progressively more important in tackling challenging soil research issues and promoting more sustainable and informed management of soil resources, which includes mapping soil and analyzing the physical, chemical, biological, and fertility characteristics of soils.
Potential topics include, but are not limited to, the following:
- Applications in land use planning and precision agriculture;
- Digital soil mapping (DSM);
- Artificial intelligence and machine learning applications for soil management;
- Drone soil analysis and mapping;
- Ground penetrating radar (GPR) applications to investigate underground features or soil substrates;
- GIS applications for monitoring soil loss and erosion;
- GIS applications for soil contamination;
- GIS applications for soil moisture;
- GIS applications for crop production and grassland management;
- GIS in soil surveying;
- GIS-based geostatistical analysis for soil characteristics.
Dr. Sanda Roșca
Dr. Paul Sestraș
Dr. Ștefan Bilașco
Guest Editors
Manuscript Submission Information
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Keywords
- soil pollution
- digital soil mapping
- soil erosion
- GIS soil application
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