土耳其datalada和Bozburun半岛土地覆盖变化测定(1997-2018)

C. Ikiel, B. Ustaoğlu, D. Koç, A. A. Dutucu
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引用次数: 1

摘要

采用卫星影像和野外调查相结合的方法,对datalada - Bozburun特别环境保护区的土地覆被进行了定性分析。研究区域是土耳其西南部被爱琴海和地中海包围的两个半岛。土地一般由山地和丘陵地形组成,其中中生代石灰岩很常见。两个半岛的海岸上都有许多海湾。研究区观测到地中海气候和植被。虽然自古以来就有人类居住,但土地结构和有限的农业面积阻止了人口过剩的存在。位于datapera半岛西端的Knidos港是一个重要的定居点,在过去通过海上出口发展起来,特别是出口葡萄酒。今天,它以其沿海旅游和一些农产品(橄榄,杏仁,角豆等)吸引了人们的注意。研究区被宣布为特殊环境保护区域,阻止了大规模土地覆被和利用的变化。然而,海湾和定居点周围有一些有限的变化。本研究使用了LANDSAT 7 ETM +(1997)、SPOT 6/7(2016)、SPOT 6/7(2018)卫星影像和地形图。利用ERDAS影像软件对卫星图像进行分析。根据CORINE土地覆盖分类系统对土地覆盖进行分类。根据极大似然方法在遥感系统中应用监督分类。采用Kappa统计进行分类准确率分析,确定准确率在80%以上。所得结果也得到土地研究结果的证实。因此,在森林和半自然地区以及农业区发现了减少,而在很少或没有植被的人造地面和开放空间发现了增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of Land Cover Change in Datça and Bozburun Peninsula in Turkey (1997-2018)
In this study, land cover in Datça - Bozburun Special Environmental Protection Area was determined and limited changes were analyzed with satellite images and field research. The study area is the two peninsulas at the south west of Turkey surrounded by the Aegean Sea and Mediterranean Sea. The land is generally composed of mountainous and hilly terrains where mesozoic limestones are common. There are many gulfs and bays on the shores of both peninsulas. Mediterranean climate and vegetation are observed in the study area. Although there have been human settlements since ancient times, the land structure and limited agricultural areas prevented the presence of excess population. The port of Knidos on the western end of the Datça Peninsula was an important settlement developed in the past by maritime exportation, especially with the export of wine. Today, it attracts attention with its coastal tourism and some agricultural products (Olive, Almond, Carob etc.). The fact that the research area was announced as a special environmental-protection area prevented the changes in large-scale land cover and use. However, there are some limited changes around the bays and settlements. In this research, LANDSAT 7 ETM + (1997), SPOT 6/7 (2016), SPOT 6/7 (2018) satellite images and topographic maps were used. Satellite images were analyzed with ERDAS imagine software. Land cover was classified according to CORINE land cover classification system. Supervised classification was applied according to maximum likelihood method in remote sensing systems. Accuracy analysis of the classification was performed with Kappa statistics and it was determined as over 80%. The results obtained were also confirmed by the findings obtained from land studies. Accordingly, a decrease was identified in forests and semi-natural areas and agricultural areas and an increase was identified in artificial surfaces and open space with little or no vegetation.
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