Research On The Relationship Between Landscape And Land Surface Temperature Based On Remote Sensing In Longquan City

As a national forest city,Longquan City has cultivated eco-tourism as a strategic pillar industry.The impact of the thermal environment on the development of the eco-industry has attracted much attention.Based on the remote sensing images of 2003,2010 and 2017,this research combining the second survey data of the latest forest resources studies the relationship between landscape and surface temperature.The main contents include:1.Remote sensing image inversion,differential zoning and overlay analysis methods were used to study the temporal and spatial evolution of vegetation coverage and land surface temperature.This research reveals the evolution of vegetation coverage and surface temperature in Longquan City in 2003,2010 and 2017 from three levels: city,township and multi-ring buffer zone.2.Spatial statistics and linear regression methods were used to study the coupling relationship between vegetation coverage and land surface temperature.The bivariate spatial autocorrelation analyzed by Geo Da software reveals the spatial aggregation of vegetation coverage and surface temperature.The simple linear regression analyzed by SPSS software reveals the correlation between vegetation coverage and land surface temperature.3.Landscape reclassification and regional statistical methods were used to study the coupling relationship between landscape type and land surface temperature.Based on the second-class survey data of forest resources,the landscape types of Longquan City are divided into coniferous forest,broadleaf forest,conifer-broadleaf forest,construction land,cultivated land,and water,etc.Analyzing the landscape temperature in the urban area and altitude of 700 m.4.Using the landscape pattern analysis method,the research reveals the correlation between the pattern index and the land surface temperature from the landscape level and class level.Six scales of 1km × 1km,1.5km × 1.5km,2km × 2km,2.5km × 2.5km,3km × 3km and 3.5km × 3.5km were selected to analyze the correlation between pattern index and surface temperature.The results showed that: 1)Vegetation coverage and surface temperature are generally increasing,and human intervention has a greater impact;2)There is significant spatial negative correlation between vegetation coverage and land surface temperature.There are differences in the interpretation effects of surface temperature in different levels of vegetation coverage;3)The land surface temperature of different landscape types is different.The average land surface temperature of coniferous forest,broadleaf forest,conifer-broadleaf forest,bamboo forest and water is lower,and the average land surface temperature of shrub land,other forest land,construction land and cultivated land is higher;4)At the landscape level,the correlation between the pattern index and the lowest temperature of the land surface temperature is strong.And it is affected by the forest land with a large proportion of area,like the coniferous forest.At the class level,in terms of PLAND,the positive correlation between construction land and land surface temperature is the strongest,and the negative correlation between coniferous forest,broadleaf forest,conifer-broadleaf forest,water and land surface temperature is strong.Conifer-broadleaf forest is highly correlated with land surface temperature on a large scale.