A MODIS/ASTER airborne simulator (MASTER) imagery for urban heat island research

Zhao, Q. and Wentz, E. A. (2016) A MODIS/ASTER airborne simulator (MASTER) imagery for urban heat island research. Data, 1(1), 7. (doi: 10.3390/data1010007)

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Thermal imagery is widely used to quantify land surface temperatures to monitor the spatial extent and thermal intensity of the urban heat island (UHI) effect. Previous research has applied Landsat images, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images, Moderate Resolution Imaging Spectroradiometer (MODIS) images, and other coarse- to medium-resolution remotely sensed imagery to estimate surface temperature. These data are frequently correlated with vegetation, impervious surfaces, and temperature to quantify the drivers of the UHI effect. Because of the coarse- to medium-resolution of the thermal imagery, researchers are unable to correlate these temperature data with the more generally available high-resolution land cover classification, which are derived from high-resolution multispectral imagery. The development of advanced thermal sensors with very high-resolution thermal imagery such as the MODIS/ASTER airborne simulator (MASTER) has investigators quantifying the relationship between detailed land cover and land surface temperature. While this is an obvious next step, the published literature, i.e., the MASTER data, are often used to discriminate burned areas, assess fire severity, and classify urban land cover. Considerably less attention is given to use MASTER data in the UHI research. We demonstrate here that MASTER data in combination with high-resolution multispectral data has made it possible to monitor and model the relationship between temperature and detailed land cover such as building rooftops, residential street pavements, and parcel-based landscaping. Here, we report on data sources to conduct this type of UHI research and endeavor to intrigue researchers and scientists such that high-resolution airborne thermal imagery is used to further explore the UHI effect.

Item Type:Articles
Additional Information:This material is based upon work supported by the National Science Foundation under Grant SES-0951366, Decision Center for a Desert City II: Urban Climate Adaptation. The acquisition and processing of the MASTER data was supported by the National Science Foundation under Grant BCS-1026865: Central Arizona-Phoenix Long-Term Ecological Research and GEO-0816168: Urban Vulnerability to Climate Change. Qunshan Zhao is partly supported by the Graduate Grant of the Central Arizona-Phoenix Long-Term Ecological Research and the National Natural Science Foundation of China (No. 51378399 and 41331175).
Glasgow Author(s) Enlighten ID:Zhao, Dr Qunshan
Authors: Zhao, Q., and Wentz, E. A.
College/School:College of Social Sciences > School of Social and Political Sciences > Urban Studies
Journal Name:Data
ISSN (Online):2306-5729
Published Online:06 June 2016
Copyright Holders:Copyright © 2016 The Authors
First Published:First published in Data 1(1): 7
Publisher Policy:Reproduced under a Creative Commons License
Data DOI:10.6073/pasta/dd5f47bd551ee9bfdd6e6105bd6c28fa

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