Spatial characteristics of urban evapotranspiration effects on the thermal environment

Abstract Evapotranspiration (ET) is an important process of the regional hydrothermal cycle. However, it unclear how mitigation urban ET in thermal environments occurs a spatial context. Landsat 8 satellite images from 2014 to 2018 Xuzhou and corresponding meteorological observations were selected, improved mono-window algorithm (IMW) RS-PM model applied invert land surface temperature (LST) ET, respectively. In addition, analysis methods (a profile analysis, standard deviation ellipse (SDE) bivariate Moran's I) employed quantify simulate characteristics effect on LST. The results indicated following: (1) There was significant linear negative correlation between LST, which confirms that has LST; (2) SDE overlap ratios patches with higher lower LST imply have impact distribution (3) I their mixture spectral (LISA) maps reveal landscape pattern parches also factor affecting environmental temperature.