| Open pit mining will damage the original ecological environment and cause water and soil loss.The surface temperature is the key factor to measure the surface change and energy balance,and the main indicator to monitor the dynamic changes of global environmental resources.Using Landsat-8 OLI/TIRS and Landsat-5 TM remote sensing images from 1990 to 2020,this paper takes shuigushan mining area in Liuzhou City,Guangxi Zhuang Autonomous Region as the research area,compares and analyzes the inversion accuracy of radiative transfer equation method and single window algorithm,and selects a method with high accuracy to inverse the surface temperature in the mining area.Using Landsat-8 OLI/TIRS and Landsat-5 TM remote sensing images to extract and map the vegetation coverage and land cover information in the study area,and analyze the temporal and spatial changes of vegetation coverage and land cover.Sentinel-2 is used to retrieve five biomass,including leaf area index(LAI),photosynthetic effective radiation absorption rate(FAPAR),chlorophyll content(LAI?CAB),canopy water content(LAI?CW)and vegetation coverage(FCOVER),and analyze the spatial distribution of the five biomass from 2018 to 2020.Analyze the impact of land cover,vegetation coverage and five biomass on surface temperature,and explore the impact of limestone mining on surface temperature change.The main research results are as follows:(1)For Landsat-5 and Landsat-8 data,the results show that the radiative transfer equation method should be used to inverse the temperature in shuigushan limestone mining area,which has higher accuracy and better inversion effect.The surface temperature in the shuigushan stope area has increased year by year since 1990.With the continuous mining of the mining area,the surface temperature in the shuigushan stope area and its surrounding areas has shown an increasing trend.The area of low temperature area(?23?)has decreased significantly,and the area of high temperature area(? 33 ?)has gradually increased.The area of high temperature area(?38?)in the shuigushan stope area will be the largest in 2020.(2)Mining and building construction in the study area from 1990 to 2020 are the main reasons for the change of vegetation coverage,which shows that there is an obvious positive correlation between the area of low vegetation coverage and the mining scale and mining intensity of the mining area.Mining and building construction in the mining area will have a certain impact on the vegetation,and this phenomenon is irreversible in a short time.There is a close relationship between the surface temperature and the change of vegetation coverage,which shows that the low-temperature(?23?)and high-temperature areas(?33?)have low,medium and low vegetation coverage,and the moderate and sub high temperature areas(23-33?)have medium and high vegetation coverage.(3)There is a strong negative correlation between the five biomass and surface temperature.The rank of correlation is: LAI?CW > LAI > LAI?CAB > FAPAR > FCOVER.The average correlation coefficient of canopy water content is-0.731.(4)The change of land cover in the study area,the expansion of land area,the increase of mining intensity and the construction of buildings in the mining area have led to the decrease of vegetation and the increase of bare land area.The change of this part is the main manifestation of the change of land cover temporal and spatial pattern.The change of spatial and temporal pattern of land cover in the study area is the direct reason for the change of spatial distribution of surface temperature,which is manifested in the obvious positive correlation between the decrease of vegetation cover and the increase of surface temperature,and the increase of mining land and bare land area and the increase of surface temperature. |
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