Date of Award
College of Liberal Arts
Type of Degree
As one of the effective methods to control urban temperatures, the effects of trees and other vegetation have come into focus. Geographic Information System (GIS) and remote sensing data, Digital Orthophoto Quarter-Quadrangle (DOQQ) and Landsat Thematic Mapper (Landsat TM), have been applied in this study to analyze the UHI. The effect of road-side trees on local micro-climate was examined with in-situ temperature measurement and simulated shade. Regression analyses revealed significant negative slopes for all time periods. This trend continued throughout the entire night until sunrise the next morning. The relationship between thermal patterns and vegetation distributions was investigated using the Landsat TM images. The result of regression analyses showed that vegetation affects surface temperature across study sites. Where the higher the Normalized Difference Vegetation Index (NDVI), the surface temperature was lower. It was observed in most seasons except winter. This relationship became stronger into summer, and then weaker into autumn.
Vegetation and climate.
Hwang, Won Hoi, "Estimation of the Effects of Vegetation on Local Climate Using GIS and Remote Sensing Data" (2007). Theses, Dissertations and Capstones. 659.