A simple, robust, and automatic approach to extract water body from Landsat images (case study: Lake Urmia, Iran)

Lake Urmia is one of the largest saline lakes in the world, and has a great effect on its surrounding ecosystems as well as the economic, social, and even cultural condition of its basin inhabitants. Hence, continuous monitoring of lake area changes is necessary and unavoidable for better land manag...

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Autores principales: Hadiseh Babaei, Milad Janalipour, Nadia Abbaszadeh Tehrani
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Lenguaje:EN
Publicado: IWA Publishing 2021
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Acceso en línea:https://doaj.org/article/385bbb8f7b7b479ab4a6fefde7b44dac
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spelling oai:doaj.org-article:385bbb8f7b7b479ab4a6fefde7b44dac2021-11-05T18:41:05ZA simple, robust, and automatic approach to extract water body from Landsat images (case study: Lake Urmia, Iran)2040-22442408-935410.2166/wcc.2019.078https://doaj.org/article/385bbb8f7b7b479ab4a6fefde7b44dac2021-02-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/1/238https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354Lake Urmia is one of the largest saline lakes in the world, and has a great effect on its surrounding ecosystems as well as the economic, social, and even cultural condition of its basin inhabitants. Hence, continuous monitoring of lake area changes is necessary and unavoidable for better land management and prevention of its degradation. In this study, by using Landsat 8 images and by preforming some essential pre-processing tasks, the area of the lake was estimated using the number of traditional spectral indices and a new one and the automatic Otsu's thresholding method for 5 years (2013–2017). The results showed that this index shows more accurate results than other indices when estimating the area of the lake and can separate water class from land one with an average overall accuracy of 96%.Hadiseh BabaeiMilad JanalipourNadia Abbaszadeh TehraniIWA Publishingarticlelandsatotsu's thresholding methodremote sensingsaline lakespectral indiceswssiEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 1, Pp 238-249 (2021)
institution DOAJ
collection DOAJ
language EN
topic landsat
otsu's thresholding method
remote sensing
saline lake
spectral indices
wssi
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
spellingShingle landsat
otsu's thresholding method
remote sensing
saline lake
spectral indices
wssi
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Hadiseh Babaei
Milad Janalipour
Nadia Abbaszadeh Tehrani
A simple, robust, and automatic approach to extract water body from Landsat images (case study: Lake Urmia, Iran)
description Lake Urmia is one of the largest saline lakes in the world, and has a great effect on its surrounding ecosystems as well as the economic, social, and even cultural condition of its basin inhabitants. Hence, continuous monitoring of lake area changes is necessary and unavoidable for better land management and prevention of its degradation. In this study, by using Landsat 8 images and by preforming some essential pre-processing tasks, the area of the lake was estimated using the number of traditional spectral indices and a new one and the automatic Otsu's thresholding method for 5 years (2013–2017). The results showed that this index shows more accurate results than other indices when estimating the area of the lake and can separate water class from land one with an average overall accuracy of 96%.
format article
author Hadiseh Babaei
Milad Janalipour
Nadia Abbaszadeh Tehrani
author_facet Hadiseh Babaei
Milad Janalipour
Nadia Abbaszadeh Tehrani
author_sort Hadiseh Babaei
title A simple, robust, and automatic approach to extract water body from Landsat images (case study: Lake Urmia, Iran)
title_short A simple, robust, and automatic approach to extract water body from Landsat images (case study: Lake Urmia, Iran)
title_full A simple, robust, and automatic approach to extract water body from Landsat images (case study: Lake Urmia, Iran)
title_fullStr A simple, robust, and automatic approach to extract water body from Landsat images (case study: Lake Urmia, Iran)
title_full_unstemmed A simple, robust, and automatic approach to extract water body from Landsat images (case study: Lake Urmia, Iran)
title_sort simple, robust, and automatic approach to extract water body from landsat images (case study: lake urmia, iran)
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/385bbb8f7b7b479ab4a6fefde7b44dac
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