使用Gavrilovic模型,利用遥感和地理信息系统评估萨尔曼地区土壤侵蚀的风险

إيهاب الزيادي, حسين المعارضي, طارق جمعة علي المولى
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摘要

本研究以遥感(RS)和地理信息系统(GIS)技术为基础,对Al-Salman地区的土壤侵蚀风险进行了制图表征,并对其进行了地貌学分析。31日.20“0”-29 .20”。东经(45.30'.0 " -44.0'.0 "),面积为(17463.84平方公里)。本研究使用了来自美国Landsat 8卫星数据的6个卫星视图,并以Dem(数字高程模型)文件为基础,其精度为(30 m),并依靠地理信息系统程序(Arc GIS V.10.3)和程序(ERDAS 2014)绘图,改进,显示和诊断视觉图像的光谱特征,以服务于研究。同样明显的是,Al-Salman地区面临着根据加夫里洛维奇模型估计的以土壤侵蚀为代表的地貌风险。Km2),相当于研究区总面积的89.31%。轻度侵蚀类排在第二位,面积为1866.02 km2,约占Al-Salman区总面积的10.68%,而中度侵蚀类占研究区面积的比例很小,仅为0.02 km2,相当于2万m2左右。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
تطبيق نموذج جافريلوفيك (Gavrilovic) لتقدير مخاطر انجراف التربة في قضاء السلمان باستعمال تقنيات الاستشعار عن بعد ونظم المعلومات الجغرافية
The study took the techniques of remote sensing (RS) and geographic information systems (GIS) as a basis for the cartographic representation of the risks of soil erosion within the Al-Salman district and then analyzed it geomorphologically. )31.20'.0''-29.20'.0'' (north, and (45.30'.0''-44.0'.0'') east longitudes with an area of (17463.84 km2). The study used six satellite views from the data of the American satellite (Landsat 8), and the Dem (Digital Elevation Model) files were relied on with an accuracy of (30 m), and it relied on the geographic information systems program (Arc GIS V.10.3) and the program (ERDAS 2014) in Drawing, improving, showing and diagnosing the spectral characteristics of the visuals to serve the study, and it was also clear that Al-Salman district was exposed to geomorphological risks represented by soil erosion that was estimated according to the Gavrilovic model. km2), which is equivalent to a percentage of (89.31%) of the total area of the study area. The light erosion category ranked second with an area of (1866.02 km2), representing a percentage of about (10.68%) of the total area of Al-Salman district, while it formed The medium erosion category is a very small percentage compared to the area of the study area, it reached (0.02 km2), which is equivalent to about (20000 m2).
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