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Urban Heat Island Analysis over the Land Use Zoning Plan of Bangkok by Means of Landsat 8 Imagery

1
Department of Computer Science, Khon Kaen University, Khon Kaen 40002, Thailand
2
Department of Engineering, University of Perugia, via Duranti 93, 06125 Perugia, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(3), 440; https://doi.org/10.3390/rs10030440
Received: 2 February 2018 / Revised: 26 February 2018 / Accepted: 9 March 2018 / Published: 11 March 2018
(This article belongs to the Special Issue Urban Heat Island Remote Sensing)
Surface urban heat island (SUHI) maps retrieved from spaceborne sensor data are increasingly recognized as an efficient scientific support to be considered in sustainable urban planning. By means of reflective and thermal data from Landsat 8 imagery in the time interval 2014–2016, this work deals with the SUHI pattern identification within the different land use categories of Bangkok city plan. This study first provides an overview of the SUHI phenomenon in Bangkok, then singles out the surface heating behavior in each land use category. To describe the SUHI dynamics within the different classes, the main statistics of the SUHI intensity (mean, standard deviation, maximum and minimum) are computed. Overall, the analysis points out that the categories placed in the city core (high-density residential; commercial; historical and military classes) exhibit the highest mean SUHI intensities (around 4 °C); whilst the vegetated pixels exert a less cool effect with respect to the greenery of categories mainly placed farther from the city center. The proposed analysis can help to identify if the land use plan requires targeted future actions for the SUHI mitigation; or if the maintenance of the current urban development model is in line with the environmental sustainability. View Full-Text
Keywords: surface urban heat island; Bangkok; Landsat 8; urban planning; SUHI pattern surface urban heat island; Bangkok; Landsat 8; urban planning; SUHI pattern
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MDPI and ACS Style

Keeratikasikorn, C.; Bonafoni, S. Urban Heat Island Analysis over the Land Use Zoning Plan of Bangkok by Means of Landsat 8 Imagery. Remote Sens. 2018, 10, 440.

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