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...

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Bibliographic Details
Main Authors: M. P. Taheri Otaghsara, H. Arefi
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