Quantification of Vegetation Phenological Disturbance Characteristics in Open-Pit Coal Mines of Arid and Semi-Arid Regions Using Harmonized Landsat 8 and Sentinel-2

被引:2
|
作者
Wang, Bing [1 ,2 ]
Li, Peixian [1 ,2 ]
Zhu, Xiaoya [1 ,2 ]
机构
[1] Minist Nat Resources, Key Lab Mine Ecol Effects & Systemat Restorat, Beijing 100081, Peoples R China
[2] China Univ Min & Technol Beijing, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China
关键词
mining disturbance; vegetation phenology; cumulative effects; mine dust pollution; SURFACE PHENOLOGY; TIME-SERIES; DYNAMICS; NDVI; EXTRACTION;
D O I
10.3390/rs15215257
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Open-pit mining activities inevitably affect the surrounding ecological environment. Therefore, it is crucial to clarify the disturbance characteristics of open-pit mining activities on the surrounding vegetation and scientifically implement ecological restoration projects. This study investigates the impact of open-pit coal mining in arid and semi-arid regions on surrounding vegetation from a vegetation phenology perspective. Initially, we construct a high-frequency time series of vegetation indices by Harmonized Landsat 8 and Sentinel-2 surface reflectance dataset (HLS). These time series are then fitted using the Double Logistic and Asymmetric Gaussian methods. Subsequently, we quantify three pivotal phenological phases: Start of Season (SOS), End of Season (EOS), and Length of Season (LOS) from the fitted time series. Finally, utilizing mine boundaries as spatial units, we create a buffer zone of 100 m increments to statistically analyze changes in phenological phases. The results reveal an exponential variation in vegetation phenological metrics with increasing distance from the mining areas of Heidaigou-Haerwusu (HDG-HEWS), Mengxiang (MX), and Xingda (XD) in northwest China. Then, we propose a method to identify the disturbance range. HDG-HEWS, MX, and XD mining areas exhibit disturbance ranges of 1485.39 m, 1571.47 m, and 671.92 m for SOS, and 816.72 m, 824.73 m, and 468.92 m for EOS, respectively. Mineral dust is one of the primary factors for the difference in the disturbance range. The HDG-HEWS mining area exhibits the most significant disruption to vegetation phenological metrics, resulting in a delay of 6.4 +/- 3.4 days in SOS, an advancement of 4.3 +/- 3.9 days in the EOS, and a shortening of 6.7 +/- 3.5 days in the LOS. Furthermore, the overlapping disturbance zones of the two mining areas exacerbate the impact on phenological metrics, with disturbance intensities for SOS, EOS, and LOS being 1.38, 1.20, and 1.33 times those caused by a single mining area. These research results are expected to provide a reference for the formulation of dust suppression measures and ecological restoration plans for open-pit mining areas.
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页数:18
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  • [2] Sentinel-2 accurately estimated wheat yield in a semi-arid region compared with Landsat 8
    Faqe Ibrahim, Gaylan Rasul
    Rasul, Azad
    Abdullah, Haidi
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2023, 44 (13) : 4115 - 4136
  • [3] Response of ecosystem services and environmental dynamics in large open-pit coal mines: A case study in semi-arid areas
    Han, Tian
    Li, Qunying
    Hai, Yue
    Yang, Yuze
    Wen, Zhi
    Li, Ruonan
    Zheng, Hua
    [J]. GLOBAL ECOLOGY AND CONSERVATION, 2024, 51
  • [4] Assessing open-pit mining impacts on semi-arid grassland: A framework for boundary and intensity quantification
    Yan, Xiaoxiao
    Li, Jing
    Shao, Yang
    Ma, Tianyue
    Zhang, Rui
    Su, Yiting
    [J]. JOURNAL OF CLEANER PRODUCTION, 2024, 475
  • [5] Ecological Cost of Open-Pit Coal Mine in Semi-arid Ecological Fragile Area of Xinjiang
    Ye, Lu-Qing
    Xu, Xiao-Chuan
    Gu, Xiao-Wei
    Wang, Qing
    [J]. Dongbei Daxue Xuebao/Journal of Northeastern University, 2023, 44 (09): : 1318 - 1327
  • [6] Assessment of Leaf Area Index Models Using Harmonized Landsat and Sentinel-2 Surface Reflectance Data over a Semi-Arid Irrigated Landscape
    Mourad, Roya
    Jaafar, Hadi
    Anderson, Martha
    Gao, Feng
    [J]. REMOTE SENSING, 2020, 12 (19)
  • [7] Measurement and zonation of soil surface moisture in arid and semi-arid regions using Landsat 8 images
    Bidgoli, Reza Dehghani
    Koohbanani, Hamidreza
    Keshavarzi, Ali
    Kumar, Vinod
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2020, 13 (17)
  • [8] Mapping soil salinity in arid and semi-arid regions using Landsat 8 OLI satellite data
    Abuelgasim, Abdelgadir
    Ammad, Rubab
    [J]. REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2019, 13 : 415 - 425
  • [9] Measurement and zonation of soil surface moisture in arid and semi-arid regions using Landsat 8 images
    Reza Dehghani Bidgoli
    Hamidreza Koohbanani
    Ali Keshavarzi
    Vinod Kumar
    [J]. Arabian Journal of Geosciences, 2020, 13
  • [10] The Performance of Random Forest Classification Based on Phenological Metrics Derived from Sentinel-2 and Landsat 8 to Map Crop Cover in an Irrigated Semi-arid Region
    Htitiou A.
    Boudhar A.
    Lebrini Y.
    Hadria R.
    Lionboui H.
    Elmansouri L.
    Tychon B.
    Benabdelouahab T.
    [J]. Remote Sensing in Earth Systems Sciences, 2019, 2 (4) : 208 - 224