2018
DOI: 10.1016/j.jclepro.2018.01.050
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Detecting the dynamics of vegetation disturbance and recovery in surface mining area via Landsat imagery and LandTrendr algorithm

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Cited by 148 publications
(98 citation statements)
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“…Although the filter-based noise reduction method has been greatly improved in recent years, the problems of missing data and excessive smoothing in time series have not been resolved [34,35]. To eliminate such noise and obtain the spectral changes of each pixel, the LandTrendr algorithm was employed, which has provided accurate results when employed to detect forest disturbances, farming abandonment in agricultural land, and disturbance-recovery of open-pit mines [36][37][38][39].…”
Section: Trajectory Generationmentioning
confidence: 99%
“…Although the filter-based noise reduction method has been greatly improved in recent years, the problems of missing data and excessive smoothing in time series have not been resolved [34,35]. To eliminate such noise and obtain the spectral changes of each pixel, the LandTrendr algorithm was employed, which has provided accurate results when employed to detect forest disturbances, farming abandonment in agricultural land, and disturbance-recovery of open-pit mines [36][37][38][39].…”
Section: Trajectory Generationmentioning
confidence: 99%
“…To standardize breakpoint thresholds between habitats with variable baseline NDVI values (such as scrubland and forested land), we calculated the mean and standard deviation of NDVI within the range of each species in Table 2 and set the pre-disturbance spectral value parameter for each species to one standard deviation below the mean. This standardization allowed us to apply a consistent, conservative threshold that detected extreme decreases in NDVI relative to the observed level of variation within an area 40 .…”
Section: Remote Sensing Analysismentioning
confidence: 99%
“…With the development of remote sensing (RS) technology and geographic information system (GIS), studies on landscape-level pattern changes in mine areas have achieved great progress [16,24]. Landscape metrics have been utilized in many research topics, including but not limited to examining the interplay between landscape structures and ecological functions [25,26], and quantifying ecosystem services [27]. Considerable research has been conducted on the landscape-level pattern changes in coal mine areas [23,28].…”
Section: Introductionmentioning
confidence: 99%