Monitoring and Evaluating Restoration Vegetation Status in Mine Region Using Remote Sensing Data: Case Study in Inner Mongolia, China
| Autor: | Fuping Gan, Ling Ding, Rongyuan Liu, Ping Zhou, Wei Wang, Xiangwen Zhang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
vegetation growth
010504 meteorology & atmospheric sciences Growth data Science 0211 other engineering and technologies Growing season 02 engineering and technology Inner mongolia 01 natural sciences GRNDVI anomaly method coal mine China Restoration ecology 021101 geological & geomatics engineering 0105 earth and related environmental sciences Hydrology business.industry restoration vegetation Landsat data Coal mining Vegetation Remote sensing (archaeology) General Earth and Planetary Sciences Environmental science business |
| Zdroj: | Remote Sensing, Vol 13, Iss 1350, p 1350 (2021) Remote Sensing; Volume 13; Issue 7; Pages: 1350 |
| ISSN: | 2072-4292 |
| Popis: | The ecological restoration of mining areas is very important, and repeated field surveys are inefficient in large-scale vegetation monitoring. The coal mining industry is currently facing the challenge of the lack of appropriate methods for monitoring restoration processes. This study used an open pit coal mine in Dongsheng District, Inner Mongolia, China as an example, and used the 2011–2018 Landsat TM/ETM+ and OLI images to monitor and evaluate vegetation restoration activity of the coal mine. The average value of the monthly maximum value of vegetation index in the growing season was selected as the basic indicator for studying vegetation and bare soil changes. The growth root normalized differential vegetation index (GRNDVI) and GRNDVI anomaly method indicated that the constructed land type change factor was used to study the growth of mine vegetation and change of the range of bare land in the entire mining region. We found that westward mining activities started from 2012, and vegetation was restored in the eastern original mining region from 2013. The restoration vegetation areas from 2015 to 2016 and from 2017 to 2018 were larger than those in the other restoration years. Moreover, areas of expanded bare land from 2011 to 2012, and from 2017 to 2018 were larger than those in the other expansion years. The restoration vegetation growth changes were compared with those of the natural vegetation growth. Results showed that the restoration vegetation growth trend was considerably similar with that of the natural vegetation. Inter-annual restoration effects were analyzed by constructing the effect of the area-average factor and using vegetation growth data. Accordingly, the restoration vegetation effects were best in 2014 and 2016. Comprehensive restoration effect was analyzed using the weighted evaluation method to obtain the overall restoration effects of the coal mine. Results showed that the comprehensive restoration effect is inclined to the inferior growth state. This study conducted a preliminary evaluation of mine restoration vegetation, thereby providing a promising way for the future monitoring and evaluation of such processes. |
| Databáze: | OpenAIRE |
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