Mapping annual land disturbance and reclamation in rare-earth mining disturbance region using temporal trajectory segmentation
出版年份 2021 全文链接
标题
Mapping annual land disturbance and reclamation in rare-earth mining disturbance region using temporal trajectory segmentation
作者
关键词
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出版物
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-07-22
DOI
10.1007/s11356-021-15480-3
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- (2020) Guillaume Lassalle et al. JOURNAL OF HAZARDOUS MATERIALS
- Identification of successional trajectory over 30 Years and evaluation of reclamation effect in coal waste dumps of surface coal mine
- (2020) Jing Li et al. JOURNAL OF CLEANER PRODUCTION
- Mapping the cumulative impacts of long-term mining disturbance and progressive rehabilitation on ecosystem services
- (2020) Zhenyu Wang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Mapping and Monitoring Small-Scale Mining Activities in Ghana using Sentinel-1 Time Series (2015–2019)
- (2020) Gerald Forkuor et al. Remote Sensing
- Mapping Annual Land Disturbance and Reclamation in a Surface Coal Mining Region Using Google Earth Engine and the LandTrendr Algorithm: A Case Study of the Shengli Coalfield in Inner Mongolia, China
- (2020) Wu Xiao et al. Remote Sensing
- Remote sensing monitoring of land damage and restoration in rare earth mining areas in 6 counties in southern Jiangxi based on multisource sequential images
- (2020) Li Hengkai et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Remote sensing vs. field-based monitoring of agricultural terrace degradation
- (2020) Anton Pijl et al. International Soil and Water Conservation Research
- Phenology Modelling and Forest Disturbance Mapping with Sentinel-2 Time Series in Austria
- (2020) Markus Löw et al. Remote Sensing
- Tempo-spatial changes and main anthropogenic influence factors of vegetation fractional coverage in a large-scale opencast coal mine area from 1992 to 2015
- (2019) Min Zhang et al. JOURNAL OF CLEANER PRODUCTION
- Reclamation promotes the succession of the soil and vegetation in opencast coal mine: A case study from Robinia pseudoacacia reclaimed forests, Pingshuo mine, China
- (2018) Ye Yuan et al. CATENA
- Identification of the disturbance and trajectory types in mining areas using multitemporal remote sensing images
- (2018) Zhen Yang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Sources, behaviour, and environmental and human health risks of high-technology rare earth elements as emerging contaminants
- (2018) Willis Gwenzi et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Assessing post-industrial land cover change at the Pine Point Mine, NWT, Canada using multi-temporal Landsat analysis and landscape metrics
- (2017) Emma LeClerc et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Live Monitoring of Earth Surface (LiMES): A framework for monitoring environmental changes from Earth Observations
- (2017) Gregory Giuliani et al. REMOTE SENSING OF ENVIRONMENT
- Reconstructing disturbance history for an intensively mined region by time-series analysis of Landsat imagery
- (2015) Jing Li et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Remote sensing monitoring recent rapid increase of coal mining activity of an important energy base in northern China, a case study of Mu Us Sandy Land
- (2015) N. Li et al. RESOURCES CONSERVATION AND RECYCLING
- Identifying Revegetated Mines as Disturbance/Recovery Trajectories Using an Interannual Landsat Chronosequence
- (2013) Susmita Sen et al. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
- China's ion-adsorption rare earth resources, mining consequences and preservation
- (2013) X. Jin Yang et al. Environmental Development
- Changes in vegetation cover, moisture properties and surface temperature of a brown coal dump from 1984 to 2009 using satellite data analysis
- (2011) Jakub Brom et al. ECOLOGICAL ENGINEERING
- Detecting trend and seasonal changes in satellite image time series
- (2009) Jan Verbesselt et al. REMOTE SENSING OF ENVIRONMENT
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