Evaluation of Agricultural land Productivity and Irrigation Performance Indicators by Using Remote Sensing Techniques via Wapor3 Platform and ARCGIS Software (Salah Al-Din Governorate lands as a Case Study)
Abstract
Improving water management, based on irrigation performance analysis and water productivity assessment tools, leads to better water resource management, ensuring optimal use and minimizing losses. Therefore, this study aimed to highlight a crucial issue: investing in technology, such as remote sensing techniques, to enhance monitoring and surveillance of agricultural fields. In this paper, remote sensing models were developed using open-source software such as ArcGIS to calculate land productivity coefficients and irrigation parameters for the lands of Salah al-Din Governorate. Wapor 3 platform products were used, and the remote sensing models showed that the highest productivity rates for wheat and barley crops in Salah al-Din Governorate, both within and outside irrigation boundaries, ranged from) 0.61 - 1.1 (tons/dunum. Additionally, the water productivity of plants corresponds to areas with insufficient irrigation, along with other detailed findings presented in this paper.
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