EVALUATION OF LAND RESOURCES IN SOME AREA OF KAFR EL-SHEIKH GOVERNORATE, USING REMOTE SENSING (RS) AND GIS TECHNIQUES

,. G. E. Abosafia, ,. A. A. El Baroudy, ,. A. M. Kheir, ,. M. S. Shokr, ,. N. E. Khalafallah
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引用次数: 2

Abstract

Evaluation of land resources is required to achieve their sustainable development and productivity. The study’s aim was to evaluate the land capability and suitability for some main crops in some area of Kafr El-Sheikh governorate at the north of Nile Delta, Egypt utilizing of Remote Sensing and GIS techniques. The Applied System of Land Evaluation (ASLE) model was used for performing the land evaluation and produce its maps. Figure shapes of the study area were explanation using a Sentinel-2 image, digital elevation model (DEM) and field survey. Three main geomorphic unites were identified namely a) Flood Plain that is the largest unit occupying 72.96% from the study area and including River Terraces (High, Moderate and Low) and Basins (Overflow and Decantation Basins), b) Lacustrine plain and c) Marine plain. Samples from Eleven soil profiles were collected to represent different landform units of the study area, analyzed in the Laboratory. Results of land evaluation using ASLE model indicated that, the most of the studied area (73.25%) have Fair (C3) capability class. There are 24.87% from the area having C4 and the remaining (1.88%) have very poor class (C5). The evaluation of land suitability for the selected crops indicated that, wheat, barley and date palm are highly (S1) to moderately suitable (S2) for growing in the Most areas of the study area. Maize is moderately suitable (S2), while Onion and Citrus are moderately (S2) to not suitable (NS) in most of the studied area.
利用遥感和地理信息系统技术评价kafr el-sheikh省一些地区的土地资源
为了实现土地资源的可持续发展和生产力,需要对土地资源进行评价。该研究的目的是利用遥感和地理信息系统技术评价埃及尼罗河三角洲北部Kafr El-Sheikh省一些地区的土地能力和一些主要作物的适宜性。利用土地评价应用系统(ASLE)模型进行土地评价并制作地图。利用Sentinel-2影像、数字高程模型(DEM)和野外调查对研究区域的图形形状进行了解释。确定了3个主要地貌单元:a)洪泛平原是研究区最大的单元,占研究区面积的72.96%,包括河流阶地(高、中、低)和盆地(溢流和倒溢盆地);b)湖泊平原和c)海相平原。从11个土壤剖面中收集样本,代表研究区域的不同地貌单元,并在实验室进行分析。基于ASLE模型的土地评价结果表明,研究区大部分(73.25%)具有一般(C3)能力等级。有24.87%的地区为C4级,其余的(1.88%)为极差级(C5)。对所选作物的土地适宜性评价表明,小麦、大麦和枣椰树在研究区大部分地区的适宜度为高度(S1)至中度(S2)。在大多数研究区域,玉米为中度适宜(S2),洋葱和柑橘为中度(S2)至不适宜(NS)。
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