MODELLING URBAN HEAT ISLAND USING REMOTE SENSING AND CITY MORPHOLOGICAL PARAMETERS
The aim of this study was to model the surface urban heat island (SUHI) based on remote sensing data, urban morphology parameters and partial least square (PLS) regression using Santa Rosa, California, USA as a case study. Night-time Land surface temperature (LST) was estimated for all the available...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2019-10-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W18/1035/2019/isprs-archives-XLII-4-W18-1035-2019.pdf |