Abstract: Based on the Landsat-8 OLI/TIRS image, atsatellite brightness temperature was retrieved, and the spatial and internal patterns of urban thermal environment were analyzed with spatial autocorrelation in Lanzhou, a valley flat typed City. The results showed that the high temperature spots were mainly focused on the areas with intensive industry, commerce and population. The Yellow River and the afforesting belts along both sides of the river formed a relatively low temperature channel across the urban areas. The spatial pattern of brightness temperature retrieved from TIRS band 10 could better differentiate high or low temperature spots than from TIRS band 11. Meanwhile, band10based brightness temperature of the same land use/cover type was more concentrated, hence, more helpful to analyze the urban thermal environment. The spatial pattern of brightness temperature in Lanzhou was of significant autocorrelation. The band10based brightness temperature pattern had better spatial dependence. Given the same resolution to the TIRS, 1 km sampling interval could be used to study the urban thermal environment pattern. Local spatial autocorrelation could characterize the internal pattern of urban thermal environment, and monitoring the abnormal value spots could provide a sound background to ecological planning.

Key words: industrial structure ecologization, production mode ecologization, technological innovation ecologization., industrial organization ecologization, marine industrial ecologization, decision making trial and evaluation laboratory (DEMATEL)