Research on the relationship between Urban Heat Island and LUCC in Xuzhou city by remote sensing

2011 ◽  
Author(s):  
Shaogang Lei ◽  
Zhongxing Tian
Keyword(s):  
Remote Sensing ◽  
Urban Heat Island ◽  
Heat Island ◽  
Xuzhou City ◽  
Urban Heat ◽  
The Relationship

Evaluation of Absolute Maximum Urban Heat Island Intensity Based on a Simplified Remote Sensing Approach

2021 ◽  
Author(s):  
Valentino Sangiorgio ◽  
Alessandra Capolupo ◽  
Eufemia Tarantino ◽  
Francesco Fiorito ◽  
Mattheos Santamouris
Keyword(s):  
Remote Sensing ◽  
Urban Heat Island ◽  
Urban Heat Island Intensity ◽  
Absolute Maximum ◽  
Heat Island ◽  
Urban Heat

Evaluating the spatial distribution and the intensity of urban heat island using remote sensing, case study of Isfahan city in Iran

2019 ◽  
Vol 45 ◽  
pp. 686-692 ◽  
Author(s):  
Niloufar Shirani-bidabadi ◽  
Touraj Nasrabadi ◽  
Shahrzad Faryadi ◽  
Adnan Larijani ◽  
Majid Shadman Roodposhti
Keyword(s):  
Remote Sensing ◽  
Spatial Distribution ◽  
Urban Heat Island ◽  
Heat Island ◽  
Urban Heat

scholarly journals Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives

2018 ◽  
Vol 11 (1) ◽  
pp. 48 ◽  
Author(s):  
Decheng Zhou ◽  
Jingfeng Xiao ◽  
Stefania Bonafoni ◽  
Christian Berger ◽  
Kaveh Deilami ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Urban Heat Island ◽  
Land Surface ◽  
Time Of Day ◽  
Thematic Mapper ◽  
Urban Heat Islands ◽  
Heat Island ◽  
Annual Variations ◽  
Satellite Sensors ◽  
Urban Heat

The surface urban heat island (SUHI), which represents the difference of land surface temperature (LST) in urban relativity to neighboring non-urban surfaces, is usually measured using satellite LST data. Over the last few decades, advancements of remote sensing along with spatial science have considerably increased the number and quality of SUHI studies that form the major body of the urban heat island (UHI) literature. This paper provides a systematic review of satellite-based SUHI studies, from their origin in 1972 to the present. We find an exponentially increasing trend of SUHI research since 2005, with clear preferences for geographic areas, time of day, seasons, research foci, and platforms/sensors. The most frequently studied region and time period of research are China and summer daytime, respectively. Nearly two-thirds of the studies focus on the SUHI/LST variability at a local scale. The Landsat Thematic Mapper (TM)/Enhanced Thematic Mapper (ETM+)/Thermal Infrared Sensor (TIRS) and Terra/Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) are the two most commonly-used satellite sensors and account for about 78% of the total publications. We systematically reviewed the main satellite/sensors, methods, key findings, and challenges of the SUHI research. Previous studies confirm that the large spatial (local to global scales) and temporal (diurnal, seasonal, and inter-annual) variations of SUHI are contributed by a variety of factors such as impervious surface area, vegetation cover, landscape structure, albedo, and climate. However, applications of SUHI research are largely impeded by a series of data and methodological limitations. Lastly, we propose key potential directions and opportunities for future efforts. Besides improving the quality and quantity of LST data, more attention should be focused on understudied regions/cities, methods to examine SUHI intensity, inter-annual variability and long-term trends of SUHI, scaling issues of SUHI, the relationship between surface and subsurface UHIs, and the integration of remote sensing with field observations and numeric modeling.

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