Object-based classification of Izmir Metropolitan City by using sentinel-2 images

Elif Ozlem Yilmaz, Beril Varol, Raziye Hale Topaloglu, Elif Sertel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This study aims to create Land Cover Land Use (LCLU)map of a part of the Izmir metropolitan city in Turkey, based on an enhanced Urban Atlas nomenclature and object based classification approach. Multi-temporal Sentinel-2 images from different seasons are used and rule-based object oriented classification techniques are applied on the images. Totally 20 LCLU classes are identified in the study area with different accuracy values. Thematic open source data were also integrated into classification to better identify some land use classes and to increase the total classification accuracy. Our results show that 10-m bands of Sentinel-2 images are capable to produce thematically detailed LCLU map with an overall accuracy of 86% and 0.852 Kappa values.

Original languageEnglish
Title of host publicationProceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019
EditorsS. Menekay, O. Cetin, O. Alparslan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages407-412
Number of pages6
ISBN (Electronic)9781538694480
DOIs
Publication statusPublished - Jun 2019
Event9th International Conference on Recent Advances in Space Technologies, RAST 2019 - Istanbul, Turkey
Duration: 11 Jun 201914 Jun 2019

Publication series

NameProceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019

Conference

Conference9th International Conference on Recent Advances in Space Technologies, RAST 2019
Country/TerritoryTurkey
CityIstanbul
Period11/06/1914/06/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Funding

This research was funded by the Young Scientists Award Program of Turkish Academy of Sciences [TUBA–GEBIP], Istanbul Technical University Department of Scientific Research Projects (ITU–BAP) for supportingproject[MGA-2017-40936].

FundersFunder number
Istanbul Technical University Department of Scientific Research Projects
TUBA
International Technological UniversityMGA-2017-40936
Türkiye Bilimler Akademisi

    Keywords

    • LCLU maps
    • object based classification
    • Sentinel-2
    • Urban Atlas

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