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利用多时相 Landsat 图像评估干旱半干旱矿区的环境变化。

Assessment of the environmental changes in arid and semiarid mining areas using long time-series Landsat images.

机构信息

College of Information Science and Engineering, Henan University of Technology, Zhengzhou, 450001, China.

Henan College of Transportation, Zhengzhou, 451460, China.

出版信息

Environ Sci Pollut Res Int. 2021 Oct;28(37):52147-52156. doi: 10.1007/s11356-021-14417-0. Epub 2021 May 17.

Abstract

Coal mining provides energy to support the development of society. However, mining affects the environment. Thus, substantial attention has been placed on environmental change in mining areas. Research assessing the environmental change in arid and semiarid mining areas has mainly been conducted by analyzing the variation in a single factor. However, the impact of coal mining on the environment is manifold, and there is no comprehensive assessment method. In this paper, we used a remote sensing index referred to as the comprehensive evaluation index (CEI) to comprehensively assess the environmental changes in arid and semiarid mining areas. The CEI in this study was calculated by integrating the changes in vegetation coverage (VC), land surface temperature (LST), and soil moisture (SM) using long time-series Landsat images. The Shendong mining area located in Northwest China was the study area. The results indicate that the environment of the Shendong mining area improved overall from 2000 to 2018. Environmentally degraded areas accounted for approximately 7.59% of the mining area and were concentrated in areas damaged by coal mining.

摘要

煤炭开采为社会发展提供了能源。然而,开采会影响环境。因此,人们对矿区的环境变化给予了大量关注。评估干旱和半干旱矿区环境变化的研究主要通过分析单一因素的变化来进行。然而,煤炭开采对环境的影响是多方面的,目前还没有综合的评估方法。在本文中,我们使用了一种称为综合评价指数(CEI)的遥感指数来综合评估干旱和半干旱矿区的环境变化。本研究中的 CEI是通过整合植被覆盖变化(VC)、地表温度(LST)和土壤湿度(SM)利用多时相 Landsat 图像计算得出的。研究区位于中国西北部的神东矿区。结果表明,2000 年至 2018 年,神东矿区的整体环境得到了改善。环境退化区约占矿区的 7.59%,集中在采煤破坏区。

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