Abstract: Urban human thermal comfort (UHTC) is affected for interacting of
weather condition and underlying surface framework of urban area. Urban
underlying surface temperature value and Normalized Difference
Vegetation Index (NDVI) were calculated using image interpreting and supervised
classification technique by ERDAS IMAGE software using 1991 and 1999 Landsat TM
images data. Reference to the relational standard of assessing human thermal
comfort and other meteorology data of Hangzhou City in summer, air temperature
and relative humidity variation of different land types of underlying surface
were inversed. By choosing discomfort index as an indictor, the spatial
distribution characteristic and the spatial variation degree of UHTC were
estimated and mapped on a middle scale, that is, in six districts of Hangzhou.
The main characteristics of UHTC spatial variation from 1991 to 1999
were revealed using a GIS-based calculation model. The variation mechanism were
analyzed and discussed from the viewpoint of city planning, construction and
environmental protection.
Keywords: urban human thermal comfort (UHTC), remote sensing (RS), geographic information system (GIS), spatial distribution, variation mechanism