Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91000
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Title: Urban pollution
Authors: Nichol, JE 
Bilal, M
Nazeer, M
Wong, MS 
Issue Date: 2021
Source: In Shi W., Goodchild M.F., Batty M., Kwan MP., Zhang A. (Eds. ), Urban Informatics, p. 243-258. Singapore: Springer, 2021
Abstract: This chapter depicts the state of the art in remote sensing for urban pollution monitoring, including urban heat islands, urban air quality, and water quality around urban coastlines. Recent developments in spatial and temporal resolutions of modern sensors, and in retrieval methodologies and gap-filling routines, have increased the applicability of remote sensing for urban areas. However, capturing the spatial heterogeneity of urban areas is still challenging, given the spatial resolution limitations of aerosol retrieval algorithms for air-quality monitoring, and of modern thermal sensors for urban heat island analysis. For urban coastal applications, water-quality parameters can now be retrieved with adequate spatial and temporal detail even for localized phenomena such as algal blooms, pollution plumes, and point pollution sources. The chapter reviews the main sensors used, and developments in retrieval algorithms. For urban air quality the MODIS Dark Target (DT), Deep Blue (DB), and the merged DT/DB algorithms are evaluated. For urban heat island and urban climatic analysis using coarse- and medium- resolution thermal sensors, MODIS, Landsat, and ASTER are evaluated. For water-quality monitoring, medium spatial resolution sensors including Landsat, HJ1A/B, and Sentinel 2, are evaluated as potential replacements for expensive routine ship-borne monitoring.
ISBN: 978-981-15-8982-9 (Print ISBN)
978-981-15-8983-6 (Online ISBN)
DOI: 10.1007/978-981-15-8983-6_16
Rights: © The Author(s) 2021. This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
The following publication Nichol J.E., Bilal M., Nazeer M., Wong M.S. (2021) Urban Pollution. In: Shi W., Goodchild M.F., Batty M., Kwan MP., Zhang A. (eds) Urban Informatics. The Urban Book Series. Springer, Singapore is available at https://doi.org/10.1007/978-981-15-8983-6_16
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