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[对延河流域生态环境质量远程传感评估模型的改进和准确性分析]

Li-Xia Wang¹, Xin-Wei Zhang¹, Rui Zhao^1,2

¹School of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, China.

Huan jing ke xue= Huanjing kexue

|November 29, 2025

概括

本研究引入了改进的遥感生态指数 (RSEI) 模型来评估环境质量. 修改后的RSEI (M-RSEI) 模型为生态评估提供了更高的准确性和大规模监测能力.

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:

准确的生态环境评估对于人类的生存和发展至关重要.
现有的遥感生态指数 (RSEI) 模型需要针对区域差异进行改进,并进行大规模应用.
延河流域作为生态监测的关键案例研究.

研究的目的:

开发和比较优化的遥感生态指数 (RSEI) 模型,以提高生态环境质量评估.
评估区域优化的遥感生态指数 (RO-RSEI) 和修改的遥感生态指数 (M-RSEI) 的有效性.
分析从2000年到2020年,河流域的生态环境质量变化.

主要方法:

使用移动窗口方法开发区域优化遥感生态指数 (RO-RSEI).
通过将重法与RO-RSEI整合而创建修改的遥感生态指数 (M-RSEI).
使用延河流域作为案例研究对RO-RSEI和M-RSEI模型进行比较分析.

主要成果:

RO-RSEI模型有效地解决了区域差异,但在大规模应用方面存在局限性.
M-RSEI模型显著提高了评估准确性,特别是在极端指数值区域,并使大规模监测有效.
河流域的生态环境质量从2000年到2020年有所改善,空间梯度从东南向西北.

结论:

M-RSEI模型在盆地和区域范围内监测生态环境质量方面表现出卓越的精度.
重法提高了RSEI在生态评估中的准确性和适用性.
在河流域的生态恢复工作显示,逐渐向西北转移.

关键词:

延河流域延河流域准确性分析的准确性分析生态环境质量生态环境质量修改的遥感生态指数 (M-RSEI)区域优化的遥感生态指数 (RO-RSEI)

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