首页|基于Landsat遥感数据新疆某煤炭矿区沙漠化监测分析

基于Landsat遥感数据新疆某煤炭矿区沙漠化监测分析

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新疆地区是我国沙漠化较为严重的区域,近年来因新疆地区煤炭开采活动导致土地占压、地表沉陷、地下水疏干等问题,直接或间接加剧了矿区内的沙漠化趋势。基于Landsat遥感数据,利用EN-VI5。3进行预处理及计算,通过提取归一化植被指数(normalized difference vegetation index,NDVI),估算植被覆盖度(fractional vegetation cover,FVC)以及计算植被区域变化数据,对近10年矿区及其可能影响区域的沙漠化进行监测。结果表明:①三种监测方法得出的结论基本一致,近10年研究区域内平均植被覆盖度(FVC)降低4。04%,Fvc>0。3区域占比降低4。59%,植被覆盖总体上有所减少,有沙漠化蔓延的趋势,自2020年8月以来,采矿等人为活动开始减少,这也使得研究区域自2020-2023年,FVC及植被覆盖区域均有所增加,沙漠化进程有所减缓;②在NDVI、FVC反演的基础上计算并反演出的植被区域变化情况的数据及图像,可较为准确、直观地反映植被减少、有沙漠化发展趋势的区域,为矿区的沙漠化监测工作提供了可视化的监测方法,可为矿区沙漠化的监测与防治提供参考依据。
Monitoring and Analysis of Desertification in a Coal Mining Area in Xinjiang Based on Landsat Remote Sensing Data
Xinjiang is a region with severe desertification in China.In recent years,coal mining activities in Xin-jiang have led to land occupation,surface subsidence,and groundwater drainage,directly or indirectly exacerba-ting the trend of desertification in mining areas.Based on Landsat remote sensing data,ENVI5.3 is used for pre-treatment and calculation.This paper extracted the Normalized Difference Vegetation Index(NDVI),estimated Fractional Vegetation Cover(FVC),calculated vegetation regional change data,and monitored the desertification of mining areas and their potential affected areas in the past 10 years.The conclusion was as follows:(l)The con-clusions drawn from the three monitoring methods were basically consistent.In the past 10 years,the average veg-etation FVC in the study area has decreased by 4.04%,and the proportion of areas with FVC>0.3 has decreased by 4.59%.The overall vegetation coverage has decreased,with a trend of desertification spreading.Since August 2020,human activities such as mining have begun to decrease,which has also led to an increase in the average FVC and vegetation coverage area in the study area from 2020 to 2023.The process of desertification has slowed down.(2)The data and images of vegetation regional changes calculated and inverted based on NDVI and FVC inversion could accurately and intuitively reflect areas with reduced vegetation and desertification development trends.This provided a visual monitoring method for desertification monitoring in mining areas and a reference basis for monitoring and preventing desertification in mining areas.

Xinjiangmining areaNDVIfractional vegetation coverdesertification

吕雪、王旭升、吕学文

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北京中矿博能生态环境技术研究院有限公司,北京 101300

中国中煤能源集团有限公司,北京 100120

北京科技大学土木与资源工程学院,北京 100083

新疆 矿区 NDVI 植被覆盖度 沙漠化

2024

绿色科技
花木盆景杂志社

绿色科技

影响因子:0.365
ISSN:1674-9944
年,卷(期):2024.26(10)