COMPARISON OF DAY AND NIGHT IMAGERY IN SUPPORT OF THE NORMALIZED DIFFERENCE THERMAL INDEX (NDTI)

摘要

This paper expands on the authors' previous research in the development of a Normalized Difference Thermal Index (NDTI) to distinguish pavements from roofs as part of a remote sensing application. In the previous study, a single daytime data set from the multispectral Advanced Thermal and Land Applications Sensor (ATLAS) system was used to differentiate between urban pavements and roofs on the basis of differences in their thermal infrared (TIR) signatures. In this study, a daytime TIR data set was compared with a nighttime data set of the same geographic area, collected within a 2 day period, to determine whether differences in material heating and cooling rates could help to produce more accurate imagery than by using a single data set alone. Statistical analyses of the data sets supports the viability of the NDTI as a TIR imaging technique for urban infrastructure.