巴基斯坦查尔萨达地区城市面积提取与土地利用土地覆盖监测

Muhammad Ilyas, Muhammad Yasir, M. Hossain, Sulaiman khan
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引用次数: 2

摘要

土地利用和土地覆盖变化的研究有助于环境可持续性管理。该研究调查了巴基斯坦开伯尔-普赫图赫瓦省查尔萨达的城市发展波动、土地利用效益和环境无害化地区的发展情况。利用地理信息系统和遥感数据,对2007 - 2019年Landsat 7和8的最大似然分类算法进行了为期12年的评估和研究。对于城市区域的提取和分类图像合成变化的计算,采用光栅布尔方法。为了减少可忽略的噪声对象,采用了后分类滤波方法。根据2007年至2013年的分类结果,建成区面积增加了13.76%。荒地减少10.12%,植被增加3.73%,水生生物增加0.08%。在2013年至2019年的六年间,尽管植被(2.49%)和裸地(8.90%)迅速减少,但建成区面积增加了11.52%。此时水体也减少了0.12%。该研究的结果表明,尽管植被带和裸地显著减少,但建筑用地的变化最为显著,在2007年至2019年期间,建筑用地总体增长了25.29%。2007年、2013年和2019年,土地利用和土地覆盖分类的总准确率分别为0.78%、0.79%和0.76%。这项研究的结果揭示了研究地区土地利用和土地覆盖模式的一些重要变化,这些变化可用于提出建议并作为城市规划的基础。
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URBAN AREA EXTRACTION AND LAND USE LAND COVER MONITORING OF CHARSADDA DISTRICT, PAKISTAN
The research of land use and land cover (LULC) changes aids in the management of environmental sustainability. The study investigates fluctuations in urban development, LULC, and the advancement of an environmentally sound area of Charsadda in Pakistan’s Khyber Pakhtunkhwa province. The method of classification algorithm of maximum likelihood for Landsat 7 and 8 obtained from 2007 to 2019 has been evaluated and carried out for a period of 12 years using a geographic information system and remote sensing data. For the extraction of the urban area and calculating changes in the composite of classed images, the raster Boolean approach has been utilized. To reduce negligible noise objects, post-classification filtering methods have been used. According to the classification findings from 2007 to 2013, the built-up area increased by 13.76 percent. Barren land has seen a 10.12% decline and vegetation has had a 3.73 percent gain, while aquatic bodies have seen a 0.08 percent increase. During the six-year period between 2013 and 2019, the built-up area increased by 11.52 percent, although vegetation (2.49 percent) and bare land decreased rapidly (8.90 percent). Water bodies also decreased by 0.12% at this time. The study’s findings suggest that the most significant changes have been found in built-up land, which increased by 25.29 percent overall between 2007 and 2019, despite a significant reduction in the vegetation zone and bare land. For the years 2007, 2013, and 2019, the total accuracy of land use and land cover classification has been 0.78 percent, 0.79 percent, and 0.76 percent, respectively. The study’s findings reveal a number of important changes in land-use and land-cover patterns in the studied area, which can be used to make recommendations and serve as a foundation for urban planning.
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