Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80126
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorNichol, JE-
dc.creatorWong, MS-
dc.creatorChan YY-
dc.date.accessioned2018-12-21T07:14:59Z-
dc.date.available2018-12-21T07:14:59Z-
dc.identifier.issn1424-8220-
dc.identifier.urihttp://hdl.handle.net/10397/80126-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2008 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).en_US
dc.rightsThe following publication Nichol, J. E., Wong, M. S., & Chan, Y. Y. (2008). Fine resolution air quality monitoring from a small satellite: CHRIS/PROBA. Sensors, 8(12), 7581-7595 is available at https://dx.doi.org/10.3390/s8127581en_US
dc.subjectAerosolen_US
dc.subjectCHRIS/PROBAen_US
dc.subjectSurface reflectanceen_US
dc.titleFine resolution air quality monitoring from a small satellite : CHRIS/PROBAen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage7581-
dc.identifier.epage7595-
dc.identifier.volume8-
dc.identifier.issue12-
dc.identifier.doi10.3390/s8127581-
dcterms.abstractCurrent remote sensing techniques fail to address the task of air quality monitoring over complex regions where multiple pollution sources produce high spatial variability. This is due to a lack of suitable satellite-sensor combinations and appropriate aerosol optical thickness (AOT) retrieval algorithms. The new generation of small satellites, with their lower costs and greater flexibility has the potential to address this problem, with customised platform-sensor combinations dedicated to monitoring single complex regions or mega-cities. This paper demonstrates the ability of the European Space Agency's small satellite sensor CHRIS/PROBA to provide reliable AOT estimates at a spatially detailed level over Hong Kong, using a modified version of the dense dark vegetation (DDV) algorithm devised for MODIS. Since CHRIS has no middle-IR band such as the MODIS 2, 100 nm band which is transparent to fine aerosols, the longest waveband of CHRIS, the 1, 019 nm band was used to approximate surface reflectance, by the subtraction of an offset derived from synchronous field reflectance spectra. Aerosol reflectance in the blue and red bands was then obtained from the strong empirical relationship observed between the CHRIS 1,019 nm, and the blue and red bands respectively. AOT retrievals for three different dates were shown to be reliable, when compared with AERONET and Microtops II sunphotometers, and a Lidar, as well as air quality data at ground stations. The AOT images exhibited considerable spatial variability over the 11 × 11km image area and were able to indicate both local and long distance sources.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSensors (Switzerland), 2008, v. 8, no. 12, p. 7581-7595-
dcterms.isPartOfSensors (Switzerland)-
dcterms.issued2008-
dc.identifier.scopus2-s2.0-58149181569-
dc.description.validate201812 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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