ASSESSMENT OF AGRICULTURAL LAND DEGRADATION LEVELS USING GEOSPATIAL TECHNOLOGIES AND MULTISPECTRAL REMOTE SENSING DATA
DOI:
https://doi.org/10.17605/Keywords:
Land Degradation, GIS, Remote Sensing, NDVI, Soil Salinity, Sustainable Agriculture, Sentinel-2, Environmental Monitoring.Abstract
Land degradation is a critical environmental issue affecting global food security and ecosystem stability. This study focuses on the integration of Geographic Information Systems (GIS) and Remote Sensing (RS) data to evaluate the extent of degradation in agricultural landscapes. By utilizing multispectral imagery from Sentinel-2 and Landsat missions, various spectral indices, including the Normalized Difference Vegetation Index (NDVI) and Soil Salinity Index (SI), were calculated to identify degradation hotspots. The results demonstrate that geospatial technologies provide a cost-effective and high-precision framework for monitoring soil health, enabling decision-makers to implement targeted land restoration strategies.
References
1. Kogan, F. N. (2001). Global drought watch from space. Bulletin of the American Meteorological Society, 82(9), 1945-1964.
2. Metternicht, G. I., & Zinck, J. A. (2003). Remote sensing of soil salinity: potentials and constraints. Remote Sensing of Environment, 85(1), 1-20.
3. Wessels, K. J., et al. (2007). Can NDVI-derived vegetation trends be used to identify land degradation? Remote Sensing of Environment, 107(1), 281-297.
4. UNCCD. (2022). The Global Land Outlook, second edition. United Nations Convention to Combat Desertification.
5. ESA. (2023). Sentinel-2 Technical Guide. European Space Agency.
