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Remote Sensing Monitoring And Evaluation Of Mine Regreening Based On Time Series Feature Change

Posted on:2022-08-14Degree:MasterType:Thesis
Country:ChinaCandidate:W WangFull Text:PDF
GTID:2491306350985069Subject:Geological Engineering
Abstract/Summary:PDF Full Text Request
Mining will produce a series of environmental pollution problems.At present,the main means to control mine pollution is to restore vegetation.The recovery monitoring of mines is very important,but in the past,continuous man-made field investigations have spent a lot of time and money.In order to effectively and cost-effectively monitor the complex ground changes in the mining area and restore the growth of vegetation,this study took a typical coal mine in Dongsheng District,Inner Mongolia as the research object,used remote sensing satellite image data,and used typical vegetation index methods to analyze the mining area as a whole recovery situation.This study constructed land change factors and estimated changes in land cover types and vegetation growth.This study compared whether the restoration vegetation was in a normal growth state.Finally,this study constructed a restoration effect factor to evaluate the restoration effect,which can intuitively indicate the restoration efficiency of the mining area at the pixel level,and monitored the spatial restoration of vegetation in the mining area.This research has initially carried out the overall-partial mine restoration management evaluation,and provided an effective method reference for relevant departments to conduct mine restoration monitoring and evaluation.The main research contents are as follows:1.This study compared and selected the vegetation index that can characterize the growth status of the vegetation in the study area as the basis for mine restoration evaluation.The results showed that GRNDVI combined the advantages of SR and NDVI,which can better interpret the vegetation growth of woodland,grassland and other vegetation types in this study area.In this study,GRNDVI was determined as the basic index for analyzing mining areas.At the same time,this study analyzed the changes in land cover types in mining areas over the years.The results showed that basically,the mining area was continuously developing to the west,and the original east mining area was constantly undergoing vegetation restoration.2.Based on the GRNDVI images of each year and the two-year RGRNDVI vegetation index anomaly image,this study constructed the land type change factor LTC.Based on the LTC factor,it is possible to quickly determine the changes in mining area expansion,vegetation restoration and vegetation growth.The results showed that from 2017 to 2018,the areas of mining area expansion and vegetation restoration were both relatively large,at 3.48 km2 and 2.26 km2.3.Different from previous studies,this study used the GRNDVI vegetation index grading data from 2013 to 2018 and the restored areas from 2013 to 2018 based on the results of LTC to make an analysis of the dynamic growth of the restored vegetation in 2013-2018.The results showed that during the growth period,the growth of the restored vegetation basically showed a positive vegetation growth state,but some of the restored vegetation died.The reason should be more affected by the local environment,tolerance of vegetation types and human factors.4.This study constructd evaluation indicators for vegetation restoration in mining areas,and evaluated the effect of vegetation restoration in each year and the overall restoration effect.The restoration effect E factor was constructed,and the inter-annual spatial distribution effect of vegetation reclamation was obtained.The EAA factor of the repair effect of area-average was constructed,and the repair effect of each year was quantitatively evaluated.Finally,the comprehensive index method was used to make a quantitative evaluation of the overall restoration effect of the mining area.The results showed that the restoration effect of intermediate reclamation was higher than that of surrounding reclamation.The effect of vegetation restoration in 2016 was the best,and the effect of vegetation restoration in 2013 was the worst.The comprehensive restoration effect tended to be in a state of lower restoration effect,which should be affected by the age of the restoration vegetation,the vegetation type,and the restoration environment.
Keywords/Search Tags:Time series characteristics, Mine re-greening, Remote sensing monitoring, GRNDVI, Land type change factor LTC
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