Estimating Land Cover Type And Proportıon Of Vegetation Using Remote Sensing

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dc.contributor.authorErol, Cemil Berin
dc.contributor.authorTanyer, Suleyman Gokhun
dc.contributor.orcIDhttps://orcid.org/0000-0001-9506-2391en_US
dc.contributor.researcherIDI-5023-2013en_US
dc.date.accessioned2023-11-10T13:07:53Z
dc.date.available2023-11-10T13:07:53Z
dc.date.issued2014
dc.description.abstractEstimation of the land cover type and proportion of vegetation using NASA's EOS/MODIS data is verified as a case study for Turkey where 7 locations were selected. The correlation between the NDVI/EVI data is analyzed. EVI is shown to be slightly more accurate than NDVI. Land cover types are determined for these 7 locations, and similar to other locations, Istanbul and Samsun are found to perfectly match the 'forest type' Izmir is found to be different from the currently available land cover types which are assumed to be due to its mixed canopy structure. Annual and monthly average measurements in various bands are analyzed and expected correlation with the number of days of precipitation is observed.en_US
dc.identifier.endpage558en_US
dc.identifier.issn2165-0608en_US
dc.identifier.scopus2-s2.0-84903763331en_US
dc.identifier.startpage556en_US
dc.identifier.urihttp://hdl.handle.net/11727/10829
dc.identifier.wos000356351400118en_US
dc.language.isoturen_US
dc.relation.isversionof10.1109/SIU.2014.6830289en_US
dc.relation.journal2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectTEMPERATUREen_US
dc.subjectEMISSIVITYen_US
dc.titleEstimating Land Cover Type And Proportıon Of Vegetation Using Remote Sensingen_US
dc.typeBook Chapteren_US

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