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Monitoring surface mining belts using multiple remote sensing datasets: A global perspective

delete2018-10-01
delete46
PRE
AI
L
Le Yu *
Y
Yidi Xu
Y
Yueming Xue
Xuecao Li 封面图
Xuecao Li (Xuecao Li)
C
Cheng, Yuqi
X
Xiaoxuan Liu
A
Alok Porwal
E
Eun‐Jung Holden
J
Jian Yang
宫
宫鹏 (Peng Gong)
DOI:10.1016/j.oregeorev.2018.08.019delete
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摘要

摘要

En 中文
Quantifying the spatiotemporal change of land cover and understanding their ecological, environmental, and socioeconomic impacts are important for sustainable development. Surface mining by the minerals industry is one driver of the changes in land cover, leading to loss of natural vegetation and top soils, and interruption of ecosystem service flows. This study investigates the effectiveness of remote sensing datasets to identify and map land cover changes, with the specific goal of understanding the impact of surface mining activities on land cover globally from 1980s to 2013. Diverse remote sensing datasets with long term observations are analyzed, including high-resolution images in Google Earth, Landsat Thematic Mapper (TM)/Enhanced Thematic Mapper Plus (ETM +)/Operational Land Imager (OLI), the Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Index (VI) product and Defense Meteorological Satellites Program (DMSP)/Operational Linescan System (OLS) stable night-time light. The results indicated that after entering 21st century, North America (e.g., the United States and Canada) was the only continent to have more surface mining spots categorized as Shrink type (rehabilitated) rather than Expand type. South America (e.g., Chile and Brazil) and Asia (e.g., India and China) had the highest proportions of Expand Type of surface mining spots. Detailed demonstrations on how those remote sensing datasets could help in mining spot monitoring are presented.
Keyword:
Change detection
Surface mining
Time series
Global
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期刊

Ore Geology Reviews 封面图
Ore Geology Reviews
IF:
3.6
论文数:
6.6K
被引数:
2.2W

机构

U
University of Western Australia
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2.9W
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被引数: 46
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tsinghua university
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indian institute of technology system (iit system)
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I
indian institute of technology (iit) - bombay
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被引数: 0
U
University of Kentucky
学者数:
2.5W
论文数: 2.1W
被引数: 41
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