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

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

doi:10.1109/RAST.2019.8767781

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

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

Department of Geomatics Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019
Editors	S. Menekay, O. Cetin, O. Alparslan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	407-412
Number of pages	6
ISBN (Electronic)	9781538694480
DOIs	https://doi.org/10.1109/RAST.2019.8767781
Publication status	Published - Jun 2019
Event	9th International Conference on Recent Advances in Space Technologies, RAST 2019 - Istanbul, Turkey Duration: 11 Jun 2019 → 14 Jun 2019

Publication series

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

Conference

Conference	9th International Conference on Recent Advances in Space Technologies, RAST 2019
Country/Territory	Turkey
City	Istanbul
Period	11/06/19 → 14/06/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

LCLU maps
object based classification
Sentinel-2
Urban Atlas

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/RAST.2019.8767781

Cite this

Ozlem Yilmaz, E., Varol, B., Hale Topaloglu, R., & Sertel, E. (2019). Object-based classification of Izmir Metropolitan City by using sentinel-2 images. In S. Menekay, O. Cetin, & O. Alparslan (Eds.), Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019 (pp. 407-412). Article 8767781 (Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAST.2019.8767781

Ozlem Yilmaz, Elif ; Varol, Beril ; Hale Topaloglu, Raziye et al. / Object-based classification of Izmir Metropolitan City by using sentinel-2 images. Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019. editor / S. Menekay ; O. Cetin ; O. Alparslan. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 407-412 (Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019).

@inproceedings{baff407b7ed3466eb0bc8eda35846876,

title = "Object-based classification of Izmir Metropolitan City by using sentinel-2 images",

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.",

keywords = "LCLU maps, object based classification, Sentinel-2, Urban Atlas",

author = "{Ozlem Yilmaz}, Elif and Beril Varol and {Hale Topaloglu}, Raziye and Elif Sertel",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 9th International Conference on Recent Advances in Space Technologies, RAST 2019 ; Conference date: 11-06-2019 Through 14-06-2019",

year = "2019",

month = jun,

doi = "10.1109/RAST.2019.8767781",

language = "English",

series = "Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Ozlem Yilmaz, E, Varol, B, Hale Topaloglu, R & Sertel, E 2019, Object-based classification of Izmir Metropolitan City by using sentinel-2 images. in S Menekay, O Cetin & O Alparslan (eds), Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019., 8767781, Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019, Institute of Electrical and Electronics Engineers Inc., pp. 407-412, 9th International Conference on Recent Advances in Space Technologies, RAST 2019, Istanbul, Turkey, 11/06/19. https://doi.org/10.1109/RAST.2019.8767781

Object-based classification of Izmir Metropolitan City by using sentinel-2 images. / Ozlem Yilmaz, Elif; Varol, Beril; Hale Topaloglu, Raziye et al.
Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019. ed. / S. Menekay; O. Cetin; O. Alparslan. Institute of Electrical and Electronics Engineers Inc., 2019. p. 407-412 8767781 (Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2019/6

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AB - 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.

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Ozlem Yilmaz E, Varol B, Hale Topaloglu R, Sertel E. Object-based classification of Izmir Metropolitan City by using sentinel-2 images. In Menekay S, Cetin O, Alparslan O, editors, Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 407-412. 8767781. (Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019). doi: 10.1109/RAST.2019.8767781

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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