Land degradation can be described as reduction in the present and prospective land quality and production, due to natural or anthropogenic dynamics. This phenomenon is one of the most important problems facing farmers and decision makers in several countries. This study aims to use GIS spatial modeling to quantify land (physically and chemically) degradation in the study area based on remotely sensed and field survey’s data. A GIS spatial model has been developed based on the LADA- FAO methodology to apply a land degradation assessment in the study area. Final land degradation map has been produced by combining the outputs of different types of land degradation. The results show that the majority of the study area fall under the very low and low land degradation classes. High land degradation class has been found in areas affected by high soil loss, because of erosion and high or moderate deficiency of nutrients in the soil. Moderate land degradation class can be found in areas where soil physical degradation high is, while nutrients deficiency is moderate. Results also show that approximately quarter of the study area needs attention and degradation recovery plans to prevent losing these lands, so more work needs to be done to specify the main controlling agents of degradation to be recovered. GIS spatial modeling tools manifested great efficiency in land degradation assessment process, whose results hopefully may help decision makers to take the necessary actions to protect the most degraded spots.
- Land degradation,
- spatial modeling,
- GIS & Remote Sensing,
- soil chemical & physical degradation,