Tracking vegetation degradation and recovery in multiple mining areas in Beijing, China, based on time-series Landsat imagery
出版年份 2021 全文链接
标题
Tracking vegetation degradation and recovery in multiple mining areas in Beijing, China, based on time-series Landsat imagery
作者
关键词
-
出版物
GIScience & Remote Sensing
Volume 58, Issue 8, Pages 1477-1496
出版商
Informa UK Limited
发表日期
2021-11-10
DOI
10.1080/15481603.2021.1996319
参考文献
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- (2021) Yaoliang Chen et al. GIScience & Remote Sensing
- Monitoring ecosystem restoration of multiple surface coal mine sites in China via Landsat images on Google Earth Engine
- (2021) Huihui Wang et al. LAND DEGRADATION & DEVELOPMENT
- Trend of extreme precipitation indices and analysis of long-term climate variability in the Upper Awash basin, Ethiopia
- (2020) Alemayehu A. Shawul et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Assessing vegetation recovery in reclaimed opencast mines of the Teruel coalfield (Spain) using Landsat time series and boosted regression trees
- (2020) Juan José Vidal-Macua et al. SCIENCE OF THE TOTAL ENVIRONMENT
- 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
- Identification of geomorphological hazards in an underground coal mining area based on an improved region merging watershed algorithm
- (2020) Mingmei Zhang et al. Arabian Journal of Geosciences
- Complexity of Forces Driving Trend of Reference Evapotranspiration and Signals of Climate Change
- (2020) Mohammad Valipour et al. Atmosphere
- Disturbance detection in landsat time series is influenced by tree mortality agent and severity, not by prior disturbance
- (2020) Kyle C. Rodman et al. REMOTE SENSING OF ENVIRONMENT
- Tracking the Land Use/Land Cover Change in an Area with Underground Mining and Reforestation via Continuous Landsat Classification
- (2019) Jiaxin Mi et al. Remote Sensing
- Effect of natural conditions and mining activities on vegetation variations in arid and semiarid mining regions
- (2019) Shiliang Liu et al. ECOLOGICAL INDICATORS
- Inadequate adaptation of geospatial information for sustainable mining towards agenda 2030 sustainable development goals
- (2019) Abdul-Wadood Moomen et al. JOURNAL OF CLEANER PRODUCTION
- Identification of trend in long term precipitation and reference evapotranspiration over Narmada river basin (India)
- (2018) Brij Kishor Pandey et al. GLOBAL AND PLANETARY CHANGE
- Detecting the dynamics of vegetation disturbance and recovery in surface mining area via Landsat imagery and LandTrendr algorithm
- (2018) Yongjun Yang et al. JOURNAL OF CLEANER PRODUCTION
- The spatial-temporal patterns of land cover changes due to mining activities in the Darling Range, Western Australia: A Visual Analytics Approach
- (2018) Yathunanthan Vasuki et al. ORE GEOLOGY REVIEWS
- Implementation of the LandTrendr Algorithm on Google Earth Engine
- (2018) Robert Kennedy et al. Remote Sensing
- Monitoring surface mining belts using multiple remote sensing datasets: A global perspective
- (2018) Le Yu et al. ORE GEOLOGY REVIEWS
- Mapping the yearly extent of surface coal mining in Central Appalachia using Landsat and Google Earth Engine
- (2018) Andrew A. Pericak et al. PLoS One
- Vegetation coverage change and stability in large open-pit coal mine dumps in China during 1990–2015
- (2016) Xiaoyang Liu et al. ECOLOGICAL ENGINEERING
- Time–space characterization of vegetation in a semiarid mining area using empirical orthogonal function decomposition of MODIS NDVI time series
- (2016) Shaogang Lei et al. Environmental Earth Sciences
- Land change attribution based on Landsat time series and integration of ancillary disturbance data in the Athabasca oil sands region of Canada
- (2016) Darren Pouliot et al. GIScience & Remote Sensing
- Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity
- (2016) D.P. Roy et al. REMOTE SENSING OF ENVIRONMENT
- Characteristics of Landsat 8 OLI-derived NDVI by comparison with multiple satellite sensors and in-situ observations
- (2015) Yinghai Ke et al. REMOTE SENSING OF ENVIRONMENT
- Estimating deforestation in tropical humid and dry forests in Madagascar from 2000 to 2010 using multi-date Landsat satellite images and the random forests classifier
- (2013) Clovis Grinand et al. REMOTE SENSING OF ENVIRONMENT
- Statistical analysis of long term spatial and temporal trends of precipitation during 1901–2002 at Madhya Pradesh, India
- (2012) Darshana Duhan et al. ATMOSPHERIC RESEARCH
- SPOTing long-term changes in vegetation over short-term variability
- (2012) Nisha Bao et al. International Journal of Mining Reclamation and Environment
- Remote sensing of vegetation health for reclaimed areas of Seyitömer open cast coal mine
- (2011) Arzu Erener INTERNATIONAL JOURNAL OF COAL GEOLOGY
- Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms
- (2010) Robert E. Kennedy et al. REMOTE SENSING OF ENVIRONMENT
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