归一化植被指数(NDVI)在草原露天煤矿区的适用性分析  

Applicability analysis of normalized difference vegetative index(NDVI)in grassland open-pit coal mine

作　　者：惠嘉伟 白中科[1,2,3] 刘凯杰 王子昊 HUI Jia-wei;BAI Zhong-ke;LIU Kai-jie;WANG Zi-hao(School of Land Science and Technology,China University of Geosciences,Beijing 100083,China;Key Lab of Land Consolidation and Rehabilitation,the Ministry of Natural Resources,Beijing 100035,China;Technology Innovation Center of Ecological Restoration Engineering in Mining Area,the Ministry of Natural Resources,Beijing 100083,China)

机构地区：[1]中国地质大学(北京)土地科学技术学院,北京100083 [2]自然资源部土地整治重点实验室,北京100035 [3]自然资源部矿区生态修复工程技术创新中心,北京100083

出　　处：《工程科学学报》2023年第1期54-63,共10页Chinese Journal of Engineering

基　　金：内蒙古典型矿区生态修复技术集成与示范(2020ZD0020)。

摘　　要：煤炭生产不可避免地会对生态环境造成影响,在煤炭生产中,生态环境监测是经济可持续发展的重要环节.目前煤矿生态监测的最常见的方法是基于归一化植被指数(NDVI)的植被覆盖度计算,但在对露天矿的植被监测实验中,基于NDVI的植被覆盖度计算结果出现了的误差.为了给草原矿区生态监测提供合适的方法,本文利用Sentinel-2数据采取遥感波段反演的方法计算了研究区的NDVI.并采取实证对比的方法对胜利、平朔矿区的NDVI分布特征进行了研究.结果表明:NDVI在具有一定植被覆盖的区域能够良好的反映地表植被覆盖情况,但在矿区内部被煤炭覆盖的区域可能会出现一定程度的误差.误差现象在两个研究区均会出现,且在胜利矿区影响更加严重.推测误差现象出现的原因是由于NDVI归一化算法的不足导致仅使用NDVI为参数无法区分光谱曲线具有相似特征的煤炭覆盖区域和中低覆盖草地,因而建议在矿区植被监测中将相关区域进行掩膜处理或更换植被指数以避免此现象的影响.Coal production will inevitably have an impact on the ecological environment. It has become the consensus of all major countries that vegetation restoration should be carried out in coal mining areas. Monitoring the vegetation in the mining area is an important part of the vegetation restoration work in the mining area, and plays an important role in the design, implementation,management and maintenance of the vegetation work in the mining area. The calculation of vegetation coverage based on NDVI is currently the most common method of coal mine ecological monitoring. It was discovered during is the process that calculating vegetation coverage based on NDVI would cause serious errors. Sentinel-2 data was used to calculate the NDVI of the study area using the remote sensing band inversion method tostudy the reasons for the formation of the error zone and provide a suitable method for ecological monitoring of grassland mining areas. Furthermore, the empirical comparison method was used to investigate the NDVI distribution characteristics of the Shengli and Pingshuo mining areas. This phenomenon has also appeared in other research results. The results show that NDVI can accurately reflect the surface vegetation coverage in areas with specific vegetation coverage, but there will be significant error areas in coal-covered areas in the mining area. The error phenomenon will appear in both study areas, with a greater impact in the Shengli mining area. This error phenomenon is caused by the inadequacy of the NDVI’s normalization algorithm, which makes distinguishingbetween coal-covered areas and low-to-medium-covered grasslands with similar characteristics in spectral curves impossible. To avoid the impact of this phenomenon, we propose to mask the relevant areas or replace the vegetation index in the mining area’s vegetation monitoring.

关 键 词：NDVI 遥感植被监测 胜利矿区 平朔矿区 Sentinel-2 

分 类 号：TG142.71[一般工业技术—材料科学与工程]