用土耳其湖区的谷歌地球引擎对水域变化与气候变量进行时空空间统计分析
1Demirci Vocational School, Manisa Celal Bayar University, 45900, Manisa, Türkiye. osmansalih.yilmaz@cbu.edu.tr.
Environmental monitoring and assessment
|May 26, 2023
概括
在土耳其的湖面面积.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 水文学的水文学
背景情况:
- 土耳其湖区面临着影响其水体的重大环境挑战.
- 监测湖面面积变化对于了解区域水文动态和制定保护战略至关重要.
研究的目的:
- 从1985年到2022年,分析土耳其湖区湖面面积的趋势.
- 为了研究湖泊面积变化和气候因素之间的关系.
- 为有效的湖泊管理和保护计划提供数据.
主要方法:
- 使用谷歌地球引擎 (GEE) 与Landsat卫星图像 (Landsat 5/7/8/9) 进行趋势分析.
- 计算了规范差水指数 (NDWI),并应用了Otsu的水面提取值方法.
- 使用曼-肯达尔 (MK) 和森的斜率测试进行趋势分析,以及与气候数据 (海面温度,蒸发,降水) 的相关性分析.
主要成果:
- 在大多数分析的湖泊中观察到表面积的显著减少,在Acigol (略有增加),Aksehir (76.07%),Karatas (78.65%) 和Yarisli (81.02%).
- 所有湖泊的水面提取总体准确性和F1得分都超过了90%.
- 相关性分析表明了湖泊面积变化和气候参数之间的关系,尽管具体的相关性在摘要中没有详细说明.
结论:
- 该研究强调了许多土耳其湖泊的大幅缩小趋势,需要紧急的保护和管理干预.
- 采用的遥感方法为长期监测湖泊动态提供了可靠的框架.
- 研究结果为开发可持续战略提供了关键的见解,以保护这些重要的水资源.
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