基于遥感和地理信息系统的1990 - 2019年沙特阿拉伯穆哈伊尔阿西尔地区土地利用/覆被变化检测

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摘要

本研究旨在利用遥感和地理信息系统研究和分析1990-2019年穆哈伊勒阿西尔省土地利用/覆盖和植被格局的变化。图像来自Landsat ThematicMapper (TM)和Sentinel-2。采用监督分类方法对图像进行预处理和分类分析。准确度评价结果:生产者的准确度为91.02%,消费者的准确度为89.9%。结果表明:研究区土地覆盖类型主要有农业用地、城市用地、土壤(未利用地)和岩石四种类型。1990年至2019年期间,农业用地面积增加了18.08平方公里(0.94%),并向城市化地区延伸。这一变化与建筑面积增加65.19平方公里(3.40%)相吻合。农业和建设面积的增加是以未利用土地减少为代价的,未利用土地减少了(-4.34%)。在研究期间,露头岩石没有发生变化。研究认为,影响研究区土地利用/覆被格局变化的最主要原因是人口增长(2.03%)、收入增加和服务扩展(需要增加横向和纵向扩展),从而影响研究区土地利用/覆被格局的变化。关键词:土地利用,变化检测,遥感,GIS
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of Changes in Land Use/Cover in Muhayil Asir (Saudi Arabia) during 1990 – 2019, Using Remote Sensing and Geographic Information System
The research aimed to study and analyze the changes of Land Use/Cover and the vegetation patterns in Muhayil Asir Governorate during the period 1990-2019 using Remote Sensing and Geographic Information System. Imageries from Landsat Thematic Mapper (TM) and Sentinel-2 were used. The visuals underwent the pre-processing and classification analysis using the supervised classification method. The results of the accuracy assessment were 91.02% for the producer's accuracy and 89.9% for the consumer's accuracy. The results showed that the study area has four types of land cover: agricultural land, urban areas, soil (unutilized land) and rocks. The area of agricultural land has increased 18.08 km² (0.94%) during the period 1990 – 2019 and extended towards the areas of urbanization. This change coincided with increased the built areas by 65.19 km² (3.40%). The increase in agricultural and built areas occurred at the expense of unutilized lands which decreased by (-4.34%). There was no change in rock outcrops over the study period. The study concluded that the most important reasons that affected the change in the land cover pattern and applications increase in the population at a rate of 2.03% population growth and the increase in income and expansion of services, which required increasing the horizontal and vertical expansion, which would affect changing patterns of Land Use/Cover for study area. Keywords: Land use, change detection, Remote Sensing, GIS.
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