Object-based water body extraction model using Sentinel-2 satellite imagery

Water body extraction is an important part of water resource management and has been the topic of a number of research works related to remote sensing for over two decades. Extracting water bodies from satellite images with a pixel-based method or indexes cannot eliminate other objects that have a l...

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Main Authors: Gordana Kaplan, Ugur Avdan
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:European Journal of Remote Sensing
Subjects:
Online Access:http://dx.doi.org/10.1080/22797254.2017.1297540
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spelling doaj-a9c029b09b8e4d8eae7f0be6d4a551d32020-11-25T01:42:36ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542017-01-0150113714310.1080/22797254.2017.12975401297540Object-based water body extraction model using Sentinel-2 satellite imageryGordana Kaplan0Ugur Avdan1Anadolu UniversityAnadolu UniversityWater body extraction is an important part of water resource management and has been the topic of a number of research works related to remote sensing for over two decades. Extracting water bodies from satellite images with a pixel-based method or indexes cannot eliminate other objects that have a low albedo, such as shadows and built-up areas. Since their spectral differences cannot be separated, in this paper a method that combines a pixel-based index and object-based method has been used on a Sentinel-2 satellite image with a resolution of 10 m. The method uses image segmentation on a multispectral image containing 13 bands. It also uses indexes used for extracting water bodies, such as the Normalized Difference Water Index (NDWI). Two study areas with different characteristics have been chosen, one mountainous and one urban region, both of them located in Macedonia. Using object-based techniques and pixel-based indexes, such as NDWI, the results from the NDWI have been improved by a kappa value of more than 0.5.http://dx.doi.org/10.1080/22797254.2017.1297540Object-based image analysis (OBIA)water body extractionSentinel-2classificationNDWI
collection DOAJ
language English
format Article
sources DOAJ
author Gordana Kaplan
Ugur Avdan
spellingShingle Gordana Kaplan
Ugur Avdan
Object-based water body extraction model using Sentinel-2 satellite imagery
European Journal of Remote Sensing
Object-based image analysis (OBIA)
water body extraction
Sentinel-2
classification
NDWI
author_facet Gordana Kaplan
Ugur Avdan
author_sort Gordana Kaplan
title Object-based water body extraction model using Sentinel-2 satellite imagery
title_short Object-based water body extraction model using Sentinel-2 satellite imagery
title_full Object-based water body extraction model using Sentinel-2 satellite imagery
title_fullStr Object-based water body extraction model using Sentinel-2 satellite imagery
title_full_unstemmed Object-based water body extraction model using Sentinel-2 satellite imagery
title_sort object-based water body extraction model using sentinel-2 satellite imagery
publisher Taylor & Francis Group
series European Journal of Remote Sensing
issn 2279-7254
publishDate 2017-01-01
description Water body extraction is an important part of water resource management and has been the topic of a number of research works related to remote sensing for over two decades. Extracting water bodies from satellite images with a pixel-based method or indexes cannot eliminate other objects that have a low albedo, such as shadows and built-up areas. Since their spectral differences cannot be separated, in this paper a method that combines a pixel-based index and object-based method has been used on a Sentinel-2 satellite image with a resolution of 10 m. The method uses image segmentation on a multispectral image containing 13 bands. It also uses indexes used for extracting water bodies, such as the Normalized Difference Water Index (NDWI). Two study areas with different characteristics have been chosen, one mountainous and one urban region, both of them located in Macedonia. Using object-based techniques and pixel-based indexes, such as NDWI, the results from the NDWI have been improved by a kappa value of more than 0.5.
topic Object-based image analysis (OBIA)
water body extraction
Sentinel-2
classification
NDWI
url http://dx.doi.org/10.1080/22797254.2017.1297540
work_keys_str_mv AT gordanakaplan objectbasedwaterbodyextractionmodelusingsentinel2satelliteimagery
AT uguravdan objectbasedwaterbodyextractionmodelusingsentinel2satelliteimagery
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