Comparative analysis of Landsat TM, ETM+, OLI and EO-1 ALI satellite images at the Tisza-tó area, Hungary

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dc.contributor.authorSzabó, Loránd
dc.contributor.authorDeák, Márton
dc.contributor.authorSzabó, Szilárd
dc.date.issued2016-06-03
dc.description.abstractSatellite images are important information sources of land cover analysis or land cover change monitoring. We used the sensors of four different spacecraft: TM, ETM+, OLI and ALI. We classified the study area using the Maximum Likelihood algorithm and used segmentation techniques for training area selection. We validated the results of all sensors to reveal which one produced the most accurate data. According to our study Landsat 8’s OLI performed the best (96.9%) followed by TM on Landsat 5 (96.2%) and ALI on EO-1 (94.8%) while Landsat 7’s ETM+ had the worst accuracy (86.3%).en
dc.formatapplication/pdf
dc.identifier.citationActa Geographica Debrecina Landscape & Environment series, Vol. 10 No. 2 (2016) , 53-62
dc.identifier.doihttps://doi.org/10.21120/LE/10/2/1
dc.identifier.eissn1789-7556
dc.identifier.issn1789-4921
dc.identifier.issue2
dc.identifier.jatitleLandsc. environ.
dc.identifier.jtitleActa Geographica Debrecina Landscape & Environment series
dc.identifier.urihttps://hdl.handle.net/2437/317440en
dc.identifier.volume10
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/landsenv/article/view/2323
dc.rights.accessOpen Access
dc.subjectremote sensing, satellite imagesen
dc.subjectland coveren
dc.subjectthematic accuracyen
dc.titleComparative analysis of Landsat TM, ETM+, OLI and EO-1 ALI satellite images at the Tisza-tó area, Hungaryen
dc.typefolyóiratcikkhu
dc.typearticleen
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