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dc.contributor.authorReza, S. S. O.en
dc.contributor.authorChasovskikh, V. P.en
dc.date.accessioned2019-09-20T15:19:35Z-
dc.date.available2019-09-20T15:19:35Z-
dc.date.issued2018-
dc.identifier.citationReza, S. S. O. Monitoring of the human activities from DMSP/OLS nighttime imageries / S. S. O. Reza, V. P. Chasovskich // CEUR Workshop Proceedings. – 2018. – Vol. 2131. –en
dc.identifier.issn1613-0073-
dc.identifier.urihttps://elar.usfeu.ru/handle/123456789/9036-
dc.description.abstractHere, we illustrate the use of Defence Meteorological Satellite Program-Operational Linescan System (DMSP/OLS) night-time imageries as a dataset to monitor human activities and urban change at regional scale. With the new approach, Compounded Night Light Index (CNLI) was extracted from DMSP/OLS imageries and this process was applied in a special time series from 2000 to 2010. Spatial patterns of CNLI changes showed that human activities such as urbanization and industrialization more dominated in the central-southern parts and coastal areas. In the end, this paper identifies that the mentioned human activities are sharply rising, and its consequences on the environment must be mutually considered. © 2018 CEUR-WS. All rights reserved.en
dc.language.isoenen
dc.publisherCEUR-WSen
dc.rightsinfo:eu-repo/semantics/restrictedAccessen
dc.sourceCEUR Workshop Proceedingsen
dc.subjectCOASTAL AREAen
dc.subjectHUMAN ACTIVITIESen
dc.subjectLINESCAN SYSTEMen
dc.subjectNEW APPROACHESen
dc.subjectNIGHT LIGHTSen
dc.subjectREGIONAL SCALEen
dc.subjectSPATIAL PATTERNSen
dc.subjectURBAN CHANGESen
dc.subjectAPPLICATION PROGRAMSen
dc.titleMonitoring of the human activities from DMSP/OLS nighttime imageriesen
dc.typeConference paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
local.volume2131-
local.affiliationUral State Forestry Engineering University, Ekaterinburg, 620100, Russian Federationen
local.contributor.employeeReza, S.S.O., Ural State Forestry Engineering University, Ekaterinburg, 620100, Russian Federation-
local.contributor.employeeChasovskich, V.P., Ural State Forestry Engineering University, Ekaterinburg, 620100, Russian Federation-
local.identifier.rsi35769374-
local.identifier.eid2-s2.0-85050156577-
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