基于地理加权主要成分分析的新型遥感生态指数 (RSEI) 的应用,用于评估陆地表面的生态质量
Jayanta Mondal1, Tirthankar Basu2, Arijit Das1
1Department of Geography, University of Gour Banga, Malda, West Bengal, 732103, India.
Environmental science and pollution research international
|April 22, 2024
概括
地理加权主要成分分析 (GWPCA) 提供了比传统PCA更准确的基于遥感的生态指数 (RSEI) 评估. 这种新的方法考虑了空间变化,改善了当地规模的生态评估.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 主要组件分析 (PCA) 广泛用于基于遥感的生态指数 (RSEI),但与空间转移的指标意义相斗争.
- 传统的基于PCA的RSEI (RSEIPCA) 缺乏动态评估不同位置的组件指标相对重要性的能力.
研究的目的:
- 通过使用地理加权主要组件分析 (RSEIGWPCA) 引入一种新的RSEI评估策略.
- 为了解决RSEIPCA在捕捉指标权重的空间异质性方面的局限性.
主要方法:
- 开发并应用RSEIGWPCA到英语市场和周边地区.
- 通过Jaccard测试和相关性分析进行了双重验证,将RSEIGWPCA与RSEIPCA进行比较.
- 通过这两种方法检查RSEI的地理分布.
主要成果:
- 在评估RSEI时,RSEIGWPCA表现出比RSEIPCA更高的有效性.
- GWPCA成功地制定了反映空间异质性的个体重量,这是PCA缺少的功能.
- 高RSEI值集中在Chatra湿地周围,而低值在工业区.
结论:
- 与RSEIPCA相比,GWPCA是RSEI评估的更有效和更具适应性的方法.
- 通过考虑指标重要性的空间变化,GWPCA方法增强了生态评估.
- RSEIGWPCA对于区域和地方范围的环境监测是有价值的,英语巴扎尔研究区就是一个例子.
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