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

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.

2016 ◽  
Vol 186 ◽  
pp. 637-651 ◽  
Author(s):  
Andrew M. Coutts ◽  
Richard J. Harris ◽  
Thu Phan ◽  
Stephen J. Livesley ◽  
Nicholas S.G. Williams ◽  
...  

2019 ◽  
Vol 8 (1) ◽  
pp. 41-51 ◽  
Author(s):  
Ashfa Achmad ◽  
Laina Hilma Sari ◽  
Ichwana Ramli

This article described the spatial and temporal of land surface temperature (LST) patterns in Banda Aceh City, Indonesia, in the context of urban heat island (UHI) phenomenon. Landsat imaginary in 1998 and 2018 was used in this study, which represents the conditions before and after the tsunami. Geographic Information System (GIS) and Remote Sensing (RS) technique were used for data analysis. The 1998 and 2018 LUC maps were derived from remote sensing satellite images using a supervised classification method (maximum likelihood). Both LUC maps contained five categories, namely built-up area, vegetation, water body, vacant land, and wet land. The 1998 LUC map had a kappa coefficient 0.91, while the 2018 LUC map had 0.84. It was found that the built-up area increased by 100%, while the vegetation category fell 50%. The overall mean LST in the study area increased 5.90C between 1998 and 2018, with the highest mean increase in the built-up area category. The study recommends that LST should be taken into consideration in urban planning process to realize sustainable urban development. It also emphasizes the importance of optimizing the availability of green open space to reduce UHI effects and helps in improving the quality of the urban environment. 


2021 ◽  
Vol 887 (1) ◽  
pp. 012002
Author(s):  
R. N. Listyawati ◽  
P. Prasetiyo

Abstract Global warming is a world problem because it has a significant impact on the survival of the earth, which is the Urban Heat Island (UHI) phenomenon. Jember Regency is a district with a relatively high population growth rate. Total population growth per year is 0.55% in 2020. In general, increasing the urban population increases the need for built-up land to support human activities and can affect surface temperatures, producing the urban heat island phenomenon. This study analyses the UHI phenomenon in 3 sub-districts in urban Jember using the Landsat 8 OLI remote sensing image processing method and TIRS Multispectral Imagery to obtain surface temperature values and high-resolution aerial photos from 2013 to 2021, which will be used to identify surface temperatures through several methods. Extraction is the use of supervised classification (supervised), NDVI (Normalized Difference Vegetation Index), and LST (Land Surface Temperature). The study results illustrate that the UHI value in 2013-2021 tends to fluctuate with decreasing temperatures. The Non-UHI classification dominates the urban area of Jember, where the majority are in the suburbs. Meanwhile, the highest UHI class value spreads in the downtown area.


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