Abstract

Mining can provide necessary mineral resources for humans. However, mining activities may cause damage to the surrounding ecology and environment. Vegetation change analysis is a key tool for evaluating damage to ecology and the environment. Liaoning is one of the major mining provinces in China, with rich mineral resources and long-term, high-intensity mining activities. Taking Liaoning Province as an example, vegetation change in six mining areas was investigated using multisource remote sensing data to evaluate ecological and environmental changes. Based on MODIS NDVI series data from 2000 to 2019, change trends of vegetation were evaluated using linear regression. According to the results, there are large highly degraded vegetation areas in the Anshan, Benxi, and Yingkou mining areas, which indicates that mining activities have seriously damaged the vegetation in these areas. In contrast, there are considerable areas with improved vegetation in the Anshan, Fushun, and Fuxin mining areas, which indicates that ecological reclamation has played a positive role in these areas. Based on Sentinel-2A data, leaf chlorophyll content was inferred by using the vegetation index MERIS Terrestrial Chlorophyll Index (MTCI) after measurement of leaf spectra and chlorophyll content were carried out on the ground to validate the performance of MTCI. According to the results, the leaf chlorophyll content in the mines is generally lower than in adjacent areas in these mining areas with individual differences. In the Yingkou mining area, the chlorophyll content in adjacent areas is close to the magnesite mines, which means the spillover effect of environmental pollution in mines should be considerable. In the Anshan, Benxi, and Diaobingshan mining areas, the environmental stress on adjacent areas is slight. All in all, iron and magnesite open-pit mines should be monitored closely for vegetation destruction and stress due to the high intensity of mining activities and serious pollution. In contrast, the disturbance to vegetation is limited in resource-exhausted open-pit coal mines and underground coal mines. It is suggested that land reclamation should be enhanced to improve the vegetation in active open-pit mining areas, such as the Anshan, Benxi, and Yingkou mining areas. Additionally, environmental protection measures should be enhanced to relieve vegetation stress in the Yingkou mining area.

Highlights

  • Vegetation is a topic of interest among scientists and researchers because it plays an important role in the interconnected systems of life on Earth

  • To monitor vegetation changes in six main mining areas in Liaoning Province of China over the last 20 years, a remote sensing approach was employed based on multisource data including Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) series data and Sentinel-2A data

  • Based on the composed yearly MODIS NDVI data, the slope of the linear regression was used to simulate the trend of vegetation in the mining areas

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Summary

Introduction

Remote sensing is the most useful technology in vegetation monitoring at the regional scale because of its sufficient area coverage and frequent temporal coverage [15,16,17]. The spectral properties of vegetation derived from remotely sensed data can provide a range of biophysical and biochemical measurements, such as vegetation cover and chlorophyll content [18]. MODIS NDVI time series data are usually selected to monitor vegetation change trends at a regional scale due to a relatively high spatial resolution of 250 m. To monitor vegetation changes in six main mining areas in Liaoning Province of China over the last 20 years, a remote sensing approach was employed based on multisource data including MODIS NDVI series data and Sentinel-2A data. The differences between the mining areas were compared and analyzed

Study Area
The location mining areas
MODIS NDVI Series Data
Sentinel-2A Data
Other Data
Composing the Method for Analysis of MODIS NDVI Yearly Data
Changing Trend Analysis Based on Yearly NDVI
Chlorophyll Content Estimation Based on Sentinel Data and Difference Analysis
Change in Trend of Vegetation from 2000 to 2019
Chlorophyll Content Distribution in Mining Areas
Relationship
5.5.Discussion
Ecological Restoration for Vegetation Change in These Mining Areas
Destruction and Pollution of Vegetation by Mining Activities
Conclusions
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