使用时空分析和光谱光学卫星图像索引的值绘制典型的LULC类:阿尔及尔市的一个案例研究
Sana Ghezali1, Mohamed Amine Boukhemacha2
1LMGCE/LRS-Eau Laboratories, Ecole Nationale Polytechnique, Algiers, Algeria. sana.ghezali@g.enp.edu.dz.
Environmental monitoring and assessment
|December 18, 2024
概括
这项研究表明,光谱指数有效地利用遥感绘制土地利用和土地覆盖 (LULC) 变化图. 基于值的分类实现了高精度,突出了它们在环境和城市研究中的实用性.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 城市研究 城市研究
背景情况:
- 土地使用和土地覆盖 (LULC) 动态显著影响人类与环境的相互作用.
- 遥感图像是监测LULC变化及其影响的关键工具.
- 光谱光学指数为各种环境特征和城市发展提供了宝贵的见解.
研究的目的:
- 评估用于LULC映射的流行的光谱指数的有效性.
- 评估与季节变化和城市演变有关的光谱指数的时空变化.
- 为LULC映射提出并测试基于值的分类方法.
主要方法:
- 使用的光谱指数:NDVI,NDWI,MNDWI,UI,NDBI 和 MNDBI.
- 对每个土地使用类别的光谱指数值进行了地缘统计分析.
- 开发并测试了一种基于值的分类方法,使用优化的光谱指数.
主要成果:
- 基于值的LULC分类实现了高精度 (总精度为90.20%,2017年为0.84卡帕).
- 该研究确定了不同土地使用类别的光谱指数的时空变化.
- 拟议的方法在阿尔及利亚阿尔及利亚的LULC绘图中被证明是有效的.
结论:
- 频谱指数是用于LULC绘图和监测的宝贵工具.
- 基于值的方法为LULC分类提供了一个实用和准确的方法.
- 了解光谱指数变化是有效环境和城市分析的关键.
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