Urban Heat Island Analysis Using the Landsat TM Data and ASTER Data: A Case Study in Hong Kong

By Lin Liu, Yuanzhi Zhang. Remote Sensing, 2011

640 citations recorded by the source corpus.

In this paper, the effect of urban heat island is analyzed using the Landsat TM data and ASTER data in 2005 as a case study in Hong Kong. Two algorithms were applied to retrieve the land surface temperature (LST) distribution from the Landsat TM and ASTER data. The spatial pattern of LST in the study area is retrieved to characterize their local effects on urban heat island. In addition, the correlation between LST and the normalized difference vegetation index (NDVI), the normalized difference build-up index (NDBI) is analyzed to explore the impacts of the green land and the build-up land on the urban heat island by calculating the ecological evaluation index of sub-urban areas. The results indicate that the effect of urban heat island in Hong Kong is mainly located in three sub-urban areas, namely, Kowloon Island, the northern Hong Kong Island and Hong Kong International Airport. The correlation between LST and NDVI, NDBI also indicates that the negative correlation of LST and NDVI suggests that the green land can weaken the effect on urban heat island, while the positive correlation between LST and NDBI means that the built-up land can strengthen the effect of urban heat island in our case study. Although satellite data (e.g., Landsat TM and ASTER thermal bands data) can be applied to examine the distribution of urban heat islands in places such as Hong Kong, the method still needs to be refined with in situ measurements of LST in future studies.

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Citations in the corpus

Urban heat island effect: A systematic review of spatio-temporal factors, data, methods, and mitigation measures (2018, background): “…field variance index (UTFVI) (Li et al., 2017; Singh et al., 2017) 2.6% Ecological variables Ecological evaluation index (Imhoff et al., 2010; Liu and Zhang, 2011) 2.6% 3D characteristics of cities (Berger et al., 2017; Rinner and Hussain, 2011) 2.6% Urban heat island effect ratio (UHIER)…”
Algorithm for Automated Mapping of Land Surface Temperature Using LANDSAT 8 Satellite Data (2016, methodology): “For the validation of the final retrieved LST results in the presented tool, the mean near-surface air temperature was used [18] but with bigger amount of data and taking not only the mean temperature but also the actual temperature in the given pixel at themoment of the satellite passing over the a”
Land Surface Temperature Retrieval from Landsat 5, 7, and 8 over Rural Areas: Assessment of Different Retrieval Algorithms and Emissivity Models and Toolbox Implementation (2020, methodology): “Water vapor content (w) can be either accessed from meteorological stations or calculated from Relative Humidity (RH) and near-surface temperature (To) using the following equation [130]:”
Simulating Land Cover Changes and Their Impacts on Land Surface Temperature in Dhaka, Bangladesh (2013, background): “Amongst the various indices, studies have found that normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), normalized difference water index (NDWI), and normalized difference bareness index (NDBaI) correlate strongly with LST [5,11,29].”
The Effect of Urban Green Spaces on the Urban Thermal Environment and Its Seasonal Variations (2017, background): “Many metrics have been developed to measure the effects of landscape patterns, such as area metrics, perimeter-area ratio, landscape shape index, and aggregation metrics [29,35,42].”