scholarly journals Application of high-resolution thermal infrared remote sensing and GIS to assess the urban heat island effect

1997 ◽  
Vol 18 (2) ◽  
pp. 287-304 ◽  
Author(s):  
C. P. Lo ◽  
D. A. Quattrochi ◽  
J. C. Luvall
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Urban Heat Island ◽  
Thermal Infrared ◽  
Remote Sensing And Gis ◽  
Heat Island ◽  
Thermal Infrared Remote Sensing ◽  
Island Effect ◽  
Infrared Remote Sensing ◽  
Urban Heat

Research on the Relationship of Surface Temperature and Urban Heat Island Using the Thermal Infrared Remote Sensing Image

2014 ◽  
Vol 889-890 ◽  
pp. 1634-1637 ◽  
Author(s):  
Li Juan Zhang ◽  
Xing Ping Wen ◽  
Jun Wang ◽  
Yang Zhou
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Urban Heat Island ◽  
Thermal Infrared ◽  
Remote Sensing Image ◽  
Critical Parameters ◽  
Heat Island ◽  
Thermal Infrared Remote Sensing ◽  
Infrared Remote Sensing ◽  
Urban Heat

The temperature of the earth's land surface plays a very import ant role in the land-air interactions. It is critical parameters in the research of global change. Therefore, the use of satellite remote sensing data for surface temperature retrieval has become an important task of the study. Regional surface temperature is an important parameter of thermal energy distribution in the region, to obtain which is the most convenient and effective method. Thermal infrared remote sensing is an important area, and from thermal infrared remote sensing image information extracting temperature is a prerequisite for applying thermal infrared remote sensing technology .Based on remote sensing image data reading, radiometric calibration, regional cropping pretreatment; Then Landsat band 6 inversion of surface brightness temperature, It introduces the effect of the urban heat island using Landsat remote sensing ,having obtained the changes of spatial distribution of surface temperature, and prospects for future development in this field.

Thermal infrared remote sensing of urban heat: Hotspots, vegetation, and an assessment of techniques for use in urban planning

2016 ◽  
Vol 186 ◽  
pp. 637-651 ◽  
Author(s):  
Andrew M. Coutts ◽  
Richard J. Harris ◽  
Thu Phan ◽  
Stephen J. Livesley ◽  
Nicholas S.G. Williams ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Urban Planning ◽  
Thermal Infrared ◽  
Thermal Infrared Remote Sensing ◽  
Infrared Remote Sensing ◽  
Urban Heat

Evaluation of the surface urban heat island effect in the city of Madrid by thermal remote sensing

2012 ◽  
Vol 34 (9-10) ◽  
pp. 3177-3192 ◽  
Author(s):  
José A. Sobrino ◽  
Rosa Oltra-Carrió ◽  
Guillem Sòria ◽  
Juan Carlos Jiménez-Muñoz ◽  
Belén Franch ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Urban Heat Island ◽  
Urban Heat Island Effect ◽  
Heat Island ◽  
Thermal Remote Sensing ◽  
Island Effect ◽  
Urban Heat ◽  
Surface Urban Heat Island ◽  
The City

scholarly journals Remote sensing of the urban heat island effect across biomes in the continental USA

2010 ◽  
Vol 114 (3) ◽  
pp. 504-513 ◽  
Author(s):  
Marc L. Imhoff ◽  
Ping Zhang ◽  
Robert E. Wolfe ◽  
Lahouari Bounoua
Keyword(s):  
Remote Sensing ◽  
Urban Heat Island ◽  
Urban Heat Island Effect ◽  
Heat Island ◽  
Island Effect ◽  
Urban Heat

scholarly journals Data and techniques for studying the urban heat island effect in Johannesburg

2015 ◽  
Vol XL-7/W3 ◽  
pp. 203-206 ◽  
Author(s):  
C. H. Hardy ◽  
A. L. Nel
Keyword(s):  
Remote Sensing ◽  
Urban Heat Island ◽  
Urban Areas ◽  
Remote Sensing Data ◽  
Urban Heat Island Effect ◽  
Heat Island ◽  
Sensing Data ◽  
Island Effect ◽  
Urban Heat ◽  
The City

The city of Johannesburg contains over 10 million trees and is often referred to as an urban forest. The intra-urban spatial variability of the levels of vegetation across Johannesburg’s residential regions has an influence on the urban heat island effect within the city. Residential areas with high levels of vegetation benefit from cooling due to evapo-transpirative processes and thus exhibit weaker heat island effects; while their impoverished counterparts are not so fortunate. The urban heat island effect describes a phenomenon where some urban areas exhibit temperatures that are warmer than that of surrounding areas. The factors influencing the urban heat island effect include the high density of people and buildings and low levels of vegetative cover within populated urban areas. This paper describes the remote sensing data sets and the processing techniques employed to study the heat island effect within Johannesburg. In particular we consider the use of multi-sensorial multi-temporal remote sensing data towards a predictive model, based on the analysis of influencing factors.

Sign in / Sign up

Export Citation Format

Share Document