Spatio-Temporal Urban Heat Island Phenomena Assessment using Landsat Imagery: A Case Study of Bangkok Metropolitan and its Vicinity, Thailand (original) (raw)
Related papers
Environment and Natural Resources Journal
Bangkok is a rapidly expanding city with existing natural areas being replaced by developed areas creating an urban heat island (UHI) phenomenon in the city. LANDSAT imagery, near-infrared wavelength data, and time series information were used to study and to monitor the phenomenon of surface urban heat island (SUHI) in Bangkok. The variation of land surface temperature (LST) and the urban heat island intensity (UHII) phenomenon during 2008-2014 were investigated and the relationship between the UHII phenomenon and urban sprawl in Bangkok was studied. Using the UHII, we compared nine LST images of the investigated areas defined as inner, urban fringe and suburb zones. The UHI in Bangkok in the winter (dry) is higher than in the summer. Satellite imageries were used to classify the land use types as open spaces with high-rise buildings, very high density of buildings and high-rise buildings. Low vegetation index was found in urban fringe areas and inner city area with high surface temperature. The vegetation index value is high in areas of agricultural land, and low density building, it appears in suburb areas with low surface temperature. The results indicate that NDVI and High-rise building zones influence LST distribution and UHII phenomenon.
Journal of the Indian Society of Remote Sensing, 2014
Alteration in climatic pattern has resulted to a steady decline in quality of life and the environment, especially in and around urbanized areas. These areas are faced with increasing surface temperature arising mostly from human activities and other natural sources; hence land surface temperature has become an important variable in global climate change studies. In this paper, Landsat TM/ETM imagery acquired between 1997 and 2013 were used to extract ground brightness temperature and land use/land cover change in Kuala Lumpur metropolis. The main objective of this paper is to examine the effectiveness of quantifying UHI effects, in space and time, using remote sensing data and, also, to find the relationship between UHI and land use change. Four land use types (forest, farmland, built-up area and water) were classified from the Landsat images using maximum likelihood classification technique. The result reveals that Greater KL experienced an increase in average temperature from 312.641°K to 321.112°K which was quite eminent with an average gain in surface temperature of 8.4717°K. During the period of investigation (1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013), generally high temperature is been experienced mostly in concentrated built-up areas, the less concentrated have a moderate to intermediate temperature.
Earth, 2021
Rapid Urbanization, and other anthropogenic activities, have amplified the change in land-use transition from green space to heat emission in built-up areas globally. As a result, there has been an increase in the land surface temperature (LST) causing the Urban Heat Island (UHI) effect, particularly in large cities. The UHI effect poses a serious risk to human health and well-being, magnified in large developing cities with limited resources to cope with such issues. This study focuses on understanding the UHI effect in Kathmandu Valley (KV), Delhi, and Dhaka, three growing cities in South Asia. The UHI effect was evaluated by analyzing the UHI intensity of the city with respect to the surroundings. We found that the central urban area, of all three cities, experienced more heat zones compared to the peri-urban areas. The estimated average surface temperature ranged from 21.1 ∘C in March 2014 to 32.0 ∘C in June 2015 in KV, while Delhi and Dhaka experienced surface temperature varia...
Urban development, as a major type of land cover change has a great impact on the environment. The distinguished climatic condition termed 'Urban Heat Island' (UHI) is developing in the rapidly urbanized cities. Vijayawada city of Andhrapradesh is experiencing rapid urbanization that has resulted in remarkable UHI. Understanding the distribution of Land Surface Temperature (LST) and its temporal variation will be helpful to decipher its mechanism and find out possible solution. For the present study Landsat TM image of 1990, Landsat ETM+ images of 2001 are obtained from USGS for the study area. Using bands 1-5 and 7 of the preprocessed images the land use / cover pattern was mapped by supervised classification with the maximum likelihood classification algorithm of ERDAS imagine 9.1 software. Six classes considered for the study are Built-up land, Agricultural land, Barren Land, Water bodies, and Vegetation. Normalized Difference Vegetation Index (NDVI) of the three images was developed. The digital number of thermal infrared band is converted in to spectral radiance using the equation supplied by the Landsat user's hand book. The effective at-sensor brightness temperature is obtained from the spectral radiance using Plank's inverse function. The surface emissivity based on NDVI classes is used to retrieve the final LST. For all the calculations at pixel level of the image, models were developed using Spatial Modeler module of ERDAS. It was observed that there has been a growth of 148% in built-up land and 25% decline in agriculture land across 11 years (1990-2001). Urban heat island phenomenon is evident from the LST images. NDVI is found to have negative correlation with LST. The LST not only varies from rural areas to the urban areas, but also increases with increase in urban area during the study period. The study reveals that appropriate strategies are necessary for the sustainable management of the urban area.
IRJET, 2020
The growth of urban areas and similar landscape transformation has been a major driver of local, regional and global environmental change. The turning of urban greenery to impervious landscapes has been identified as a key factor influencing the distinctive urban heat and related consequences. Due to the high demand for space in urban areas, creation and preservation of urban greenery as heat sinks is commonly perceived as unrequired space. Consequently, there is an expanding requirement for creation and preservation of such spaces, because of these physical changes, i.e. decrease in green cover and increase in built-up area in cities, the land surface temperature LST is bound to increase. Urban heat islands can cause deterioration of living environment, increase in energy consumption, elevation in ground level ozone, and even an increase in mortality rates. To determine the contribution of urban greenery as possible remedy to Urban Heat Island UHI we have to analyse the association between built-up, green cover NDVI and land surface temperature for which we are studying the 3 major cities of India i.e. Delhi, Ahmedabad and Bangalore. This study sought to quantify multi-seasonal heat contribution of major Land Use Land-Cover LULC within these cities using the recently launched Landsat 8 and MODIS Land Surface and Temperature LST data sets. , this study demonstrates the value of remotely sensed data sets in understanding the implication of LULC types on the urban micro climate. The study is particularly valuable for designing sustainable urban socioeconomic and environmental strategies at local, regional and global climate change.
ISPRS International Journal of Geo-Information, 2018
Bogor as one of the satellite cities of Jakarta Metropolitan experiences rapid population growth and urban development. The urban landscape that is changed by urban development affects the city expansion, the increase of land surface temperature (LST), and the urban heat island (UHI). Objectives of this study are to analyze the city expansion, to analyze the LST characteristic of each land use type, and to examine the correlation between LST change and land use change that is affected by the city expansion. We examined the development of the UHI through the city expansion and the increasing of LST. Landsat 5 TM in 1990, 1997, 2007, and Landsat 8 OLI/TIRS in 2017 were used in this study. For the land used classification, we used Local Climate Zone (LCZ) classification system. The result shows that Bogor has experienced city expansion in the last 27 years. According to the rate of city expansion in the different period, the highest city expansion occurred in 1997-2007 by 8213.7 ha in the analyzed area. In the analysis of relationship between LST and LCZ, there are differences of LSTs among LCZ categories. We also found the area that shows a high LST value expanded broadly towards suburban area with urban development. The temperature differences between urban and suburban were 1.36 • C in 1990, 2.33 • C in 1997, 2.97 • C in 2007, and 2.26 • C in 2017. We defined urban change degree to quantify the land use change, and it is compared with LST change. By the analysis, strong influence of urban expansion on the distribution of surface UHI was observed.
International Journal of Remote Sensing, 2020
The increase of Land Surface Temperature (LST) and the formation of heat island in megacities have become an emerging environmental concern. The main objective of this study is to predict the intensity of Tehran's heat island in the year 2033 based on historical changes of land cover and LST. For this purpose, Landsat satellite images were integrated with meteorological stations' measurements from 1985 to 2017. The Cellular Automata-Markov (CA-Markov) and Artificial Neural Network (ANN) models were used to predict the land cover changes and to the modelling of the Surface Urban Heat Island Intensity (SUHII), Surface Urban Heat Island Ratio Index (SUHRI) was used. Subsequently, using statistical analysis of the effect of historical land cover changes on LST variations, SUHII for 2033 was predicted. Our findings show that within this period, the built-up lands increased significantly from 39% in 1985 to 65% in 2017. The intensity of heat island increased with an increase in the value of SUHII from 0.02 to 0.19. Our predictive analysis reveals that the intensity of the Tehran's heat island will increase to 0.32 by 2033. Our conclusions draw attentions to the increasing LST now and in the future in Tehran so that urban planners and local authorities take adequate actions for controlling its environmental impacts.
Investigation of Urban Heat Island using Landsat data
Urban Heat Island (UHI) has become one of the world's leading urban environmental issues. Urbanization has increased concerns about the UHI, particularly in terms of human health and a healthy environment. UHI results in a significant and sometimes dramatic increase in air temperature change between the urban environment and its surrounding, which will likely alter how much energy we consume. In a warmer condition, people would use more electricity for air conditioning. If the air warms by 1.8°C, the demand for energy used for conditioning and cooling would increase by about 5-20%. The most important type of UHIs is the one that extends from the ground to the top of roofs and canopy levels (canopy layer heat island) which cause different thermal projections throughout the city. Urban heat island is a contributing factor to enormous health problems which will be aggravated by the explosive growth of population and increasing impact of climate change. Urban heat island studies are generally conducted in two ways; measuring air temperature by use of automobile transects and weather station network and measuring surface temperature using airborne or satellite remotely sensed thermal data. The aim of this study is to investigate UHI over two cities in Egypt by applying the mono-window algorithm. Four Landsat scenes were selected, processed and analysed to retrieve land surface temperature during 2002 and 2012 for each city. Surface emissivity was calculated based on NDVI and atmospheric transmittance calculated based on water vapour content which was estimated from ground weather data.
Urban heat evolution in a tropical area utilizing Landsat imagery
Keywords: Land Surface Temperature Land use Land cover Digital number GIS Cloud cover is the main limitation of using remote sensing to study Land Use and Land Cover (LULC) change, and Land Surface Temperature (LST) in tropical area like Malaysia. In order to study LULC change and its effect on LST, the Landsat images were utilized within Geographical Information System (GIS) with the aim of removing the effect of cloud cover and image's gaps on the Digital Number (DN) of the pixels. 5356 points according to pixels coordinate which represent the 960 m to 960 m area were created in GIS environment and matched with thermal bands of the study area in remote sensing environment. The DNs of these points were processed to extract LST and imported in GIS environment to derive the temperature maps. Temperature was found to be generally higher in 2010 than in 2000. The comparison of the highest temperature area in the temperature maps with ground stations data showed that the topographical characteristics of the area, and the wind speed, and direction influence the occurrence of Urban Heat Island (UHI) effect. This study concludes that integration of remote sensing data and GIS is a useful tool in urban LST detection in tropical area.