kahramanmaras市中心土地利用/覆被变化的时序监测

Kübra Aliyazicioğlu, Fatmanur Beker, R. H. Topaloğlu, B. B. Bilgilioğlu, Resul Çömert
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引用次数: 0

摘要

不规范的城市化造成了良田耕地减少、工业化和城市化不规范等问题。为了在不扰乱自然的情况下为子孙后代提供更健康的生活机会,必须确定土地利用的时间变化,并据此制定土地管理计划。利用遥感技术和地理信息系统集成技术,对Kahramanmaras省近30年土地利用/土地覆被(LULC)变化进行了研究。获取1988-1998-2008-2018年的Landsat卫星图像,用于制作LULC地图。利用支持向量机(svm)算法对图像进行监督分类。混淆矩阵是每年创建的,以检查LULC地图的准确性。专题图的总体精度分别为91.76%、93.56%、86.89%和88.29%。各年专题地图Kappa值分别为0.88、0.91、0.81和0.84。结果表明,城市地区工业的发展和机场的建设促进了城市社会经济结构的发展。相关地区住房数量的增加导致了城市面积的增加和农业面积的减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TEMPORAL MONITORING OF LAND USE/LAND COVER CHANGE IN KAHRAMANMARAS CITY CENTER
Irregular urbanization causes problems such as decrease in fertile agricultural areas, irregular industrialization and urbanization. To provide a healthier life opportunity for future generations without disturbing nature, it is essential to determine the temporal changes in land use and to make land management plans accordingly. In this study, land use/land cover (LULC) change occurred in Kahramanmaras province within 30 years was investigated by remote sensing and integration of Geographic Information Systems. Landsat satellite images of 1988-1998-2008-2018 were obtained for the production of LULC maps. Each image was classified according to supervised classification approach using the support vector machines (SVMs) algorithms. The confusion matrix was created for each year to examine the accuracy of the LULC maps. The overall accuracy of the thematic maps was obtained as 91.76%, 93.56%, 86.89% and 88.29%, respectively. Also, Kappa values of thematic maps for each year were obtained as 0.88, 0.91, 0.81 and 0.84, respectively. When the results were examined, the development of industry in the city area and the construction of the airport contributed to the development of the social and economic structure of the city. The increase in the number of housing in the related regions has led to an increase in the amount of urban areas and a decrease in agricultural areas.
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