A Study of Remote Sensing Monitoring of Urban Thermal Environment Based on ASTER Data

Abstract

According to the Characteristics of the ASTER data,the authors calculated the atmospheric transmittance using the MODIS data from the same satellite,and then obtained the surface emissivity by means of the classification result on visible and near-infrared bands as well as the spectral library supplied by JPL(Jet Propulsion Lab).After that,the Land Surface Temperature(LST)was estimated by the split window algorithm.On this basis of LST retrieved from ASTER data,the authors analyzed quantitatively the urban thermal environment in Cangzhou area using the LST,the classification results and the Normalized Difference Vegetation Index(NDVI).These results can provide a certain scientific basis for the further exploration of the developmental rule of the urban heat island,the simulation regulation and the control and optimizing configuration of the urban thermal environment.