Rodyti trumpą aprašą

dc.rights.licenseKūrybinių bendrijų licencija / Creative Commons licenceen_US
dc.contributor.authorMohammadyari, Fatemeh
dc.contributor.authorMirsanjari, Mir Mehrdad
dc.contributor.authorSužiedelytė Visockienė, Jūratė
dc.contributor.authorZarandian, Ardavan
dc.date.accessioned2024-08-30T12:05:43Z
dc.date.available2024-08-30T12:05:43Z
dc.date.issued2020
dc.date.submitted2020-02-18
dc.identifier.issn2029-7092en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/154795
dc.description.abstractIn this study, classification results were derived from remote sensing data and the Support Vector Machine (SVM) algorithm used in this process, which classifies Landsat land-cover images. The accuracy of image classifications was evaluated by calculation of the Kappa coefficient. The area of study is Karaj, the capital of Alborz province, in north-central Iran. It is situated in the foothills of the Alborz Mountains and occupies a fertile agricultural plain. Landsat data used in the classification of land cover were collected from USGS websites, and multi-temporal images from the data were geometrically corrected. After this process, we calculated 11 metrics at the landscape and class-level scales: five metrics of class level and six metrics of landscape. The results showed that the landscape patterns in Karaj were changed due to the process of urbanization over an 11-year period. At the class level, for all classifications, the AI metric increased and the PD and NP metrics decreased. At the landscape level, the PD, ED, NP, and SHDI metrics decreased, and LPI and AI increased. These results provide insights about urban development policies and about whether the expansion of urban areas is beneficial for environmental sustainability in Iran and elsewhere in the world.en_US
dc.format.extent8 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/154498en_US
dc.rightsAttribution 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.source.urihttp://enviro.vgtu.lt/index.php/enviro/2020/paper/view/649en_US
dc.subjectland useen_US
dc.subjectland-cover changeen_US
dc.subjectclassificationen_US
dc.subjectagricultureen_US
dc.subjecturban expansionen_US
dc.subjectlandscape metricsen_US
dc.titleEvaluation of change in land usage and land cover in Karaj, Iranen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.alternativeTechnologies of geodesy and cadastreen_US
dcterms.dateAccepted2020-03-03
dcterms.issued2020-05-22
dcterms.licenseCC BYen_US
dcterms.references38en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionMalayer Universityen_US
dc.contributor.institutionVilniaus Gedimino technikos universitetasen_US
dc.contributor.institutionVilnius Gediminas Technical Universityen_US
dc.contributor.institutionResearch Center for Environmental and Sustainable Developmenten_US
dc.contributor.facultyAplinkos inžinerijos fakultetas / Faculty of Environmental Engineeringen_US
dc.contributor.departmentGeodezijos ir kadastro katedra / Department of Geodesy and Cadastreen_US
dcterms.sourcetitle11th International Conference “Environmental Engineering” (ICEE-2020)en_US
dc.identifier.eisbn9786094762321en_US
dc.identifier.eissn2029-7092en_US
dc.publisher.nameVilnius Gediminas Technical Universityen_US
dc.publisher.nameVilniaus Gedimino technikos universitetasen_US
dc.publisher.countryLithuaniaen_US
dc.publisher.countryLietuvaen_US
dc.publisher.cityVilniusen_US
dc.identifier.doihttps://doi.org/10.3846/enviro.2020.649en_US


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