Analyzing the relationship between urban heat island and land use/cover changes in Beijing using remote sensing images

2009 ◽  
Author(s):  
Xiaoyan Zhao ◽  
Shenbin Yang ◽  
Shuanghe Shen ◽  
Yulong Hai ◽  
Yongxia Fang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Urban Heat Island ◽  
Heat Island ◽  
Remote Sensing Images ◽  
Urban Heat ◽  
The Relationship

scholarly journals Toronto’s Urban Heat Island - Exploring the Relationship between Land Use and Surface Temperature

2021 ◽  
Author(s):  
Claus Rinner ◽  
Mushtaq Hussain
Keyword(s):  
Land Use ◽  
Surface Temperature ◽  
Urban Heat Island ◽  
Heat Island ◽  
Urban Heat ◽  
The Relationship

Toronto’s Urban Heat Island - Exploring the Relationship between Land Use and Surface Temperature

scholarly journals THE EFFECT OF ENVIRONMENTAL CONDITION CHANGES ON DISTRIBUTION OF URBAN HEAT ISLAND IN JAKARTA BASED ON REMOTE SENSING DATA

2017 ◽  
Vol 12 (1) ◽  
pp. 27
Author(s):  
Indah Prasasti ◽  
. Suwarsono ◽  
Nurwita Mustika Sari
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Urban Heat Island ◽  
Environmental Conditions ◽  
Remote Sensing Data ◽  
Parameter Extraction ◽  
Landsat 8 ◽  
Heat Island ◽  
Sensing Data ◽  
Urban Heat

Anthropogenic activities of urban growth and development in the area of Jakarta has caused increasingly uncomfortable climatic conditions and tended to be warmer and potentially cause the urban heat island (UHI). This phenomenon can be monitored by observing the air temperature measured by climatological station, but the scope is relatively limited. Therefore, the utilization of remote sensing data is very important in monitoring the UHI with wider coverage and effective. In addition, the remote sensing data can also be used to map the pattern of changes in environmental conditions (microclimate). This study aimed to analyze the effect of changes in environmental conditions (land use/cover, Normalized Difference Vegetation Index (NDVI) and Normalized Difference Build-up Index (NDBI)) toward the spread of the urban heat island (UHI). In this case, the UHI was identified from pattern changes of Land Surface Temperature (LST) in Jakarta based on data from remote sensing. The data used was Landsat 7 in 2007 and Landsat 8 in 2013 for parameter extraction environmental conditions, namely: land use cover, NDVI, NDBI, and LST. The analysis showed that during the period 2007 to 2013, there has been a change in the condition of the land use/cover, impairment NDVI, and expansion NDBI that trigger an increase in LST and the formation of heat islands in Jakarta, especially in the area of business centers, main street and surrounding area, as well as in residential areas.

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