干旱区生态环境知识资源中心(Arid): Impacts of mining on vegetation phenology and sensitivity assessment of spectral vegetation indices to mining activities in arid/semi-arid areas

Arid

DOI	10.1016/j.jenvman.2024.120678
	Impacts of mining on vegetation phenology and sensitivity assessment of spectral vegetation indices to mining activities in arid/semi-arid areas
	Sun, Xiaofei; Zhou, Yingzhi; Jia, Songsong; Shao, Huaiyong; Liu, Meng; Tao, Shiqi; Dai, Xiaoai
通讯作者	Shao, HY
来源期刊	JOURNAL OF ENVIRONMENTAL MANAGEMENT
ISSN	0301-4797
EISSN	1095-8630
出版年	2024
卷号	356
英文摘要	Measuring the impact of mining activities on vegetation phenology and assessing the sensitivity of vegetation indices (VIs) to it are crucial for understanding land degradation in mining areas and enhancing the carbon sink capacity following the ecological restoration of mines. To this end, we have developed a novel technical framework to quantify the impact of mining activities on vegetation, and applied it to the Bainaimiao copper mining area in Inner Mongolia. Phenological indices are extracted based on the VI time series data of Sentinel -2, and changes in phenological differences in various directions are used to quantify the impact of mining activities on vegetation. Finally, indicators such as mean difference, standard deviation, index value distribution interval, and concentration of index value distribution were selected to assess the sensitivity of the Enhanced Vegetation Index (EVI), Green Chlorophyll Index (GCI), Global Environmental Monitoring Index (GEMI), Green Normalized Difference Vegetation Index (GNDVI), Normalized Difference Vegetation Index (NDVI), Renormalized Difference Vegetation Index (RDVI), Red -Edge Chlorophyll Index (RECI), and Soil -Adjusted Vegetation Index (SAVI) to mining activities. The results of the study show that the impact of mining activities on surrounding vegetation extends to an area three times larger than the actual mining activity area. When compared with the reference and unaffected areas, the affected area experienced a delay of approximately 10 days in seasonal vegetation development. Environmental pollution caused by the tailings pond was identified as the primary factor influencing this delay. Significant variations in the sensitivity of each VI to assess mining activities in arid/semi-arid areas were observed. Notably, GCI, GNDVI and RDVI displayed relatively high sensitivity to discrepancies in the spectral attributes of vegetation within the affected area, while SAVI reflected the overall spectral stability of the vegetation in the affected area. The research findings have the potential to provide valuable technical guidance for holistic environmental management in mining areas and hold great significance in preventing further land degradation and supporting ecological restoration in mining areas.
英文关键词	Mining Vegetation phenology Vegetation indices Sensitivity analysis Time series
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001224390400001
WOS关键词	TIME-SERIES ; SOIL ; POLLUTION ; GROWTH ; GIS ; AIR
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404462
推荐引用方式 GB/T 7714	Sun, Xiaofei,Zhou, Yingzhi,Jia, Songsong,et al. Impacts of mining on vegetation phenology and sensitivity assessment of spectral vegetation indices to mining activities in arid/semi-arid areas[J],2024,356.
APA	Sun, Xiaofei.,Zhou, Yingzhi.,Jia, Songsong.,Shao, Huaiyong.,Liu, Meng.,...&Dai, Xiaoai.(2024).Impacts of mining on vegetation phenology and sensitivity assessment of spectral vegetation indices to mining activities in arid/semi-arid areas.JOURNAL OF ENVIRONMENTAL MANAGEMENT,356.
MLA	Sun, Xiaofei,et al."Impacts of mining on vegetation phenology and sensitivity assessment of spectral vegetation indices to mining activities in arid/semi-arid areas".JOURNAL OF ENVIRONMENTAL MANAGEMENT 356(2024).