| Take Qingshuihe county of Inner Mongolia as an example,using Landsat 5TM remote sensing image data from Qingshuihe county in 2000,2005,2010 and adopting Lnadsat 80LI_TIRS image in 2015 years,and taking China's land use/land cover remote sensing monitoring data classification system as the standard,the cover type area data were obtained through supervised classification based on ENVI5.0 platform.The study based on ENVI5.0 platform by supervised classification for the 2000,2005,2010 and 2015,Surface temperature inversion algorithms such as radiation conduction,single window and single channel were used to estimate the surface temperature in 2000,2005,2010 and 2015,and the surface temperature inversion results are compared and selected by the precision test method.The different land use types and land surface temperature,relative to the earth's surface temperature classification type space-time change law were analyzed by the methods of dynamic attitude and spatial static analysis of a single type region from 2000 to 2015,On the basis of using landscape pattern index and relative to the earth's surface temperature gathering effect analysis model related index to the quantitative study of different forest types and non-forest types in 2000-2015 and the surface temperature of grading type space aggregation distribution level,combined with the space of multiple stepwise regression model and binary logistic regression model respectively for 2000-2015 year of forest landscape pattern index and corresponding surface temperature distribution and forest and non-forest cover 2015 single land use type space simulation with different surface temperature classification type distribution simulation of bivariate spatial correlation between data analysis.The main research results are as follows:1)The status quo spatial distribution pattern of forest and non-forest type form respectively to cover distribution density diminishing from southeast to northwest and incremental change characteristics from 2000 to 2015,forest land and shrubbery and other major types of agglomeration distributed in the southeast county,farmland and grassland mainly non-forest type distribution in the west by north,a single annual land use type change dynamic for shrubbery>forestland>cultivated land>grass;From 2015 to 2030,the spatial distribution patterns of simulated forest and non-forest cover types were similar to the current situation,and the forest cover scope was significantly expanded.The average annual dynamic attitude of single forest type was open forest>other forest>wood land>shrubbery.2)The surface temperature in the different periods such as grading type space layout form are presented in northwest to the southeast decreasing temperature partition grade and low temperature zone gathered ranges from southeast to northwest trend of continuous expansion in the different stages,included mainly from 2000 to 2015 and from 2015 to 2030,different grades during simulation temperature area average annual dynamic attitude for low temperature area>sub low temperature area>medium temperature area>sub higher temperature area>the higher temperature area,the simulated variation law of surface temperature spatial distribution has a high spatial consistency with the simulated layout form of woodland or non-woodland landscape pattern;3)The cooling effect of shrubbery on surface thermal environment was higher than that of open forest land.The higher canopy density was,the more obvious cooling effect of forest land type on surface thermal environment was.Local spatial scale expansion of similar forest cover has a positive effect on alleviating regional thermal environmental effects,and the size of similar patch distribution and aggregation is in direct proportion to the change of surface temperature distribution. |
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