Analysis of urban built-up areas and surface urban heat island using downscaled MODIS derived land surface temperature data. Issue 8 (3rd August 2017)

• Record Type: Journal Article
• Authors: Mukherjee, Sandip; Joshi, P. K.; Garg, R. D.
• Is Part Of: Geocarto international. Volume 32:Issue 8(2017)
• Page Start: 900
• Page End: 918
• Publication Date: 2017-08-03
• Subjects: Land surface temperature -- NDVI -- sharpening -- downscaling -- urban mapping -- SUHI -- thermal remote sensing; Remote sensing -- Periodicals; Geographic information systems -- Periodicals; Geology -- Periodicals; Cartography -- Periodicals; 621.3678
• DOI: 10.1080/10106049.2016.1222634
• Languages: English
• ISSNs: 1010-6049

Abstract

Abstract: Regional scale urban built-up areas and surface urban heat islands (SUHI) are important for urban planning and policy formation. Owing to coarse spatial resolution (1000 m), it is difficult to use Moderate Resolution Imaging Spectroradiometer (MODIS) Land surface temperature (LST) products for mapping urban areas and visualization, and SUHI-related studies. To overcome this problem, the present study downscaled MODIS (1000 m resolution)-derived LST to 250 m resolution to map and visualize the urban areas and identify the basic components of SUHI over 12 districts of Punjab, India. The results are compared through visual interpretation and statistical procedure based on similarity analysis. The increased entropy value in the downscaled LST signifies higher information content. The temperature variation within the built-up and its environs is due to difference in land use and is depicted better in the downscaled LST. The SUHI intensity analysis of four cities (Ludhiana, Patiala, Moga and Vatinda) indicates that mean temperature in urban built-up core is higher (38.87 °C) as compared to suburban (35.85 °C) and rural (32.41 °C) areas. The downscaling techniques demonstrated in this paper enhance the usage of open-source wide swath MODIS LST for continuous monitoring of SUHI and urban area mapping, visualisation and analysis at regional scale. Such initiatives are useful for the scientific community and the decision-makers.