GIS AND REMOTE SENSING IN ESTIMATION OF THE AGRICULTURE LANDS INFRINGEMENT, CASE STUDY: KOM HAMADA, BEHIERA

Ebtsam Hamdy, N. Eshra, Abeer Eshra, Nawal El-Feshawy
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Abstract

The paper aims to assess agricultural land infringement using satellite images by applying three methods of classification: supervised (maximum likelihood), unsupervised and normalized difference vegetation index. To determine which sets of remote sensing satellite images were the best, they were compared. During the monitoring periods (2010–2011 and 2020–2021), Beban village is used as a study area. Landsat 8, Sentinel 2, Aster, and Modes satellite images are used to generate the remote sensing data. This period has been selected to classify images in order to assess land cover changes and the infringement of agricultural lands within Beban village and Kom Hamada center. The proposed methods employ the multi-spectral remote sensing data technique for land cover classification, with the selection of a satellite image dependent on the comparisons between the data quality of each satellite image downloaded for the study area. For land cover classification, some band combinations of the remotely sensed data are exploited, and the spatial distributions such as urban areas, agricultural land, and water resources are interpreted. The results give two important points: the Landsat 8 OLI/TIRS sensor is the best when compared with the other satellite, and the second point for the percentage of agricultural land in the study area in 2020, 2015, and 2010 was estimated to be 77.76%, 78.88%, and 84.04%, respectively. That is, agricultural land infringement accounted for 6.28% of Beban Village's total area.
地理信息系统与遥感在农业土地侵权估算中的应用,案例研究:kom hamada, behiera
采用有监督(最大似然)、无监督和归一化植被指数三种分类方法,对卫星影像上的农业用地侵权行为进行评估。为了确定哪一组遥感卫星图像是最好的,他们进行了比较。在监测期间(2010-2011年和2020-2021年),贝坂村作为研究区。Landsat 8、Sentinel 2、Aster和Modes卫星图像用于生成遥感数据。选取这一时期的影像进行分类,以评估贝班村和Kom Hamada中心的土地覆盖变化和对农业用地的侵犯。所提出的方法采用多光谱遥感数据技术进行土地覆盖分类,卫星图像的选择依赖于对研究区域下载的每个卫星图像的数据质量进行比较。在土地覆被分类方面,利用遥感数据的一些波段组合,对城市、农用地和水资源等空间分布进行解释。结果得出两个重要结论:Landsat 8 OLI/TIRS传感器与其他卫星相比是最好的,第二点估计2020年、2015年和2010年研究区农业用地比例分别为77.76%、78.88%和84.04%。即,农地侵权占贝坂村总面积的6.28%。
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