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Remote Sensing Monitoring and Evaluation of Vegetation Restoration in Grassland Mining Areas—A Case Study of the Shengli Mining Area in Xilinhot City, China

Author

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  • Jiawei Hui

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China)

  • Zhongke Bai

    (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)

  • Baoying Ye

    (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)

  • Zihao Wang

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China)

Abstract

Coal production will cause serious damage to regional vegetation, especially in ecologically fragile grasslands. It is the consensus of all major countries to conduct vegetation restoration and management monitoring in areas damaged by coal production. This paper compares the adaptability of different data sources and different vegetation indices to grassland mining areas and proposes a normalized environmental vegetation index (NEVI) suitable for vegetation monitoring in grassland mining areas. Based on the Landsat and Sentinel data from 2005 to 2019, this paper uses NEVI to monitor the vegetation destruction and restoration of the Shengli mining area. The main result is that the vegetation restoration work in the Shengli mining area started in 2007 and was gradually carried out in subsequent years. The restoration effect of vegetation is significantly better in the east than in the west. The NEVI of the vegetation in the east can reach, or exceed, the level of natural vegetation in the same period. The restoration of vegetation degradation in some areas requires strengthening of management and maintenance measures.

Suggested Citation

  • Jiawei Hui & Zhongke Bai & Baoying Ye & Zihao Wang, 2021. "Remote Sensing Monitoring and Evaluation of Vegetation Restoration in Grassland Mining Areas—A Case Study of the Shengli Mining Area in Xilinhot City, China," Land, MDPI, vol. 10(7), pages 1-18, July.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:7:p:743-:d:595102
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    References listed on IDEAS

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    1. Ramos, Tiago B. & Castanheira, Nádia & Oliveira, Ana R. & Paz, Ana Marta & Darouich, Hanaa & Simionesei, Lucian & Farzamian, Mohammad & Gonçalves, Maria C., 2020. "Soil salinity assessment using vegetation indices derived from Sentinel-2 multispectral data. application to Lezíria Grande, Portugal," Agricultural Water Management, Elsevier, vol. 241(C).
    2. Gao, Yuan & Wang, Jinman & Zhang, Min & Li, Sijia, 2021. "Measurement and prediction of land use conflict in an opencast mining area," Resources Policy, Elsevier, vol. 71(C).
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    Cited by:

    1. Ya Shao & Qinxue Xu & Xi Wei, 2023. "Progress of Mine Land Reclamation and Ecological Restoration Research Based on Bibliometric Analysis," Sustainability, MDPI, vol. 15(13), pages 1-19, July.
    2. Xingchen Yang & Shaogang Lei & Yunxi Shi & Weizhong Wang, 2022. "Effects of Ground Subsidence on Vegetation Chlorophyll Content in Semi-Arid Mining Area: From Leaf Scale to Canopy Scale," IJERPH, MDPI, vol. 20(1), pages 1-19, December.
    3. Ming Chang & Shuying Meng & Zifan Zhang & Ruiguo Wang & Chao Yin & Yuxia Zhao & Yi Zhou, 2023. "Analysis of Eco-Environmental Quality and Driving Forces in Opencast Coal Mining Area Based on GWANN Model: A Case Study in Shengli Coalfield, China," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    4. Yifan Shen & Qi Li & Xiangjun Pei & Renjie Wei & Bingmei Yang & Ningfei Lei & Xiaochao Zhang & Daqiu Yin & Shijun Wang & Qizhong Tao, 2023. "Ecological Restoration of Engineering Slopes in China—A Review," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    5. Jiameng Hu & Baoying Ye & Zhongke Bai & Jiawei Hui, 2022. "Comparison of the Vegetation Index of Reclamation Mining Areas Calculated by Multi-Source Remote Sensing Data," Land, MDPI, vol. 11(3), pages 1-16, February.

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