1. Ktisis Cyprus University of Technology
  2. Cyprus University of Technology (Research Output)
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Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/4482
DC FieldValueLanguage
dc.contributor.authorThemistocleous, Kyriacos-
dc.contributor.authorPapadavid, George-
dc.contributor.authorHadjimitsis, Diofantos G.-
dc.date.accessioned2012-11-26T11:42:42Zen
dc.date.accessioned2013-05-17T10:30:53Z-
dc.date.accessioned2015-12-09T13:51:55Z-
dc.date.available2012-11-26T11:42:42Zen
dc.date.available2013-05-17T10:30:53Z-
dc.date.available2015-12-09T13:51:55Z-
dc.date.issued2008-10-13-
dc.identifier.citationProceedings of SPIE - The international society for optical engineering, 2008, vol. 7107, Article number 71070Hen_US
dc.identifier.issn0277786X-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/4482-
dc.description.abstractThis paper focused on the application of effective atmospheric correction algorithm for assessing the atmospheric pollution based on the determined aerosol optical thickness. Field spectro-radiometers such as GER 1500 and HR-1024 have been used to retrieve the ground reflectance values of certain proposed calibration targets. Sun-photometers (MICROTOPS II) have been used to measure the aerosol optical thickness. Retrieved aerosol optical thickness from satellite images have been directly compared with the values found from the sun-photometer measurements as well those found from the visibility data obtained during the satellite overpass. The determined aerosol optical thickness obtained from the atmospheric path radiance component and those found from ground measurements (sun-photometer and meteorological data) acquired during the satellite overpass show very high correlations after regression analysis applicationen_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of SPIE - The international society for optical engineeringen_US
dc.rights© SPIEen_US
dc.subjectAir--Pollutionen_US
dc.subjectAerosolsen_US
dc.subjectAtmospheric aerosolsen_US
dc.subjectAtmosphericsen_US
dc.subjectCalibrationen_US
dc.subjectRemote sensingen_US
dc.titleThe application of atmospheric correction algorithms for monitoring atmospheric pollution using Landsat TM imagesen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsSubscriptionen_US
dc.reviewpeer reviewed-
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1117/12.800346en_US
dc.dept.handle123456789/148en
dc.relation.volume7107en_US
cut.common.academicyear2008-2009en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-4149-8282-
crisitem.author.orcid0000-0002-6102-1732-
crisitem.author.orcid0000-0002-2684-547X-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
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