Yehia, H. A. ( 2016). Evaluation of Some Different Remotely Sensing Techniques for Monitoring and Mapping Surface Soil Salinity in Arid Ecosystems: A Case Study, Siwa Oasis, Matrouh Governorate. J. Agric. & Env. Sci. Dam. Univ. Egypt. Vol (14) 3: 108 – 131
Abstract: Waterlogging and salinization are the twin evils of the irrigated agriculture in arid and semi-arid areas, which reduce the productivity of agricultural lands adversely. Managing salinity so as to minimize its environmental impact is a prerequisite for long-term sustainability of irrigated agriculture. It necessitates establishing fast monitoring systems that help decision support system. Managing salinity in irrigated agriculture is crucial for minimizing its negative environmental impacts and for ensuring long-term sustainability of irrigated agriculture. It demands establishing rapid monitoring systems that help develop sustainable management plans. Remote sensing offers several advantages over the conventional proximal methods to map and predict areas at salinity risk. This research represents an integrated approach to characterize soil salinity using remotely-sensed data in Siwa oasis, Matruh Governorates, Egypt which covers an area about 408.5 Km2. The most important landforms in Siwa Oasis are the saline lakes (Birket) e.g., Zeitun, Aghurmi, Siwa and Maraqi. ArcGIS 10.3 was powerful more than ERDASE IMAGINE 9.2 in supervised classification with accuracy assessment 88.68%. Six soil salinity indices were used in this study to extract salt crust from the satellite image. S5 is the highest accuracy assessment for Siwa Oasis was 95%.
Keywords: (Remote sensing, soil salinity indices, Siwa oasis, unsupervised classification )
