基于光谱特征的煤矿覆煤区遥感识别与监测方法研究:以云南小龙潭矿区为例

    Research on Remote Sensing Recognition and Monitoring Method of Coal-Covered Area Based on Spectral Characteristics: A Case Study of Xiaolongtan Mining Area

    • 摘要: 面对煤矿区土地退化日益加重带来的严峻生态环境问题,以及露天矿区覆煤地表范围难以准确界定的现实难题,基于煤矿区典型地物水体、植被、裸地和煤堆的光谱特征以及Landsat 8遥感数据的波段特性,提出了归一化差异煤矿指数(normalized difference coal mine index,NDCMI),并结合地物样本的NDCMI值设定阈值,对煤堆与矿区背景地物信息加以区分识别。结果表明:(1)利用Landsat 8的蓝光、红光、近红外和中红外波段组成的NDCMI方法对小龙潭矿区(下辖小龙潭露天矿和布沼坝露天矿)具有较强的适用性;(2)2013-2018年,布沼坝露天矿开采面积增加1.03倍,而小龙潭露天矿开采面积减少42%;(3)在空间上小龙潭矿区的煤炭开采活动重心呈现自东北向西南、从小龙潭露天矿向布沼坝露天矿转移的趋势,大大增加了布沼坝露天矿的生态环境压力。

       

      Abstract: Facing the severe ecological problems brought by the increasing land degradation in the coal mining areas and the difficulties on the defining of the scope of coal-covered surface in the open-pit mining areas, a normalized difference coal mine index (NDCMI) was proposed based on the spectral characteristics of typical water bodies, vegetation, bare land and coal piles in the coal mining areas as well as the band characteristics of Landsat 8 remote sensing data. The NDCMI value of the ground object samples was used to set the threshold value to distinguish and identify the ground object information of the coal pile and the mining area. The results show that:First, consisting of blue, red, near-infrared and mid-infrared bands of Landsat 8, the NDCMI method was applicative to the Xiaolongtan mining area; Second, from 2013 to 2018, the area of the Buzhaoba open-pit mining area increased by 1.03 times, while the area of Xiaolongtan open-pit mining area decreased by 42%; The gravity of coal mining activities in Xiaolongtan mining area showed a spatial trend from northeast to southwest and the trend from Xiaolongtan open-pit mining area to Buzhaoba open-pit mining area, which greatly increased the pressure on ecology and environment of the Buzhaoba open pit mining area.

       

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