基于高光谱遥感的矿山植被覆盖度监测与评价研究
Research on Monitoring and Evaluation of Mine Vegetation Coverage Based on Hyperspectral Remote Sensing
芦妍羽1
作者信息
- 1. 甘肃省地图院,甘肃 兰州 730000
- 折叠
摘要
本研究基于高光谱遥感技术,探讨了矿山地区植被覆盖度监测与评价的方法与应用.首先,我们获取了Hyperion高光谱数据,并进行了大气校正和数据预处理,保留了163个波段用于分析.其次,利用FLAASH模块进行大气校正,采用光谱特征拟合方法构建植被覆盖度评价模型,并对矿山地区的植被覆盖情况进行了深入分析和评价.研究结果表明,高光谱遥感技术在矿山植被覆盖度监测中具有重要的应用价值,为环境管理和生态保护提供了可靠的数据支持.
Abstract
This study explores the methods and applications of monitoring and evaluating vegetation coverage in mining areas based on hyperspectral remote sensing technology.Firstly,we obtained Hyperion hyperspectral data and performed atmospheric correction and data preprocessing,retaining 163 bands for analysis.Subsequently,the FLAASH module was used for atmospheric correction,and a vegetation coverage evaluation model was constructed using spectral feature fitting methods.The vegetation coverage situation in mining areas was analyzed and evaluated in depth.The research results indicate that hyperspectral remote sensing technology has important application value in monitoring vegetation coverage in mines,providing reliable data support for environmental management and ecological protection.
关键词
高光谱遥感/矿山植被/监测Key words
hyperspectral remote sensing/Mine vegetation/monitor引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据