Lake Sevan Shoreline Change Assessment Using Multi-Temporal Landsat Images

Shoreline changes are important indicators of natural and manmade impacts on inland waters and particularly lakes. Man-induced changes in Lake Sevan water level during the 20th century affected not only the ecological status of the Sevan water but also near-shore areas. This article considers a long...

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Main Authors: Azatuhi Hovsepyan, Garegin Tepanosyan, Vahagn Muradyan, Shushanik Asmaryan, Andrey Medvedev, Alexander Koshkarev
Format: Article
Language:English
Published: Lomonosov Moscow State University 2019-12-01
Series:Geography, Environment, Sustainability
Subjects:
Online Access:https://ges.rgo.ru/jour/article/view/915
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author Azatuhi Hovsepyan
Garegin Tepanosyan
Vahagn Muradyan
Shushanik Asmaryan
Andrey Medvedev
Alexander Koshkarev
author_facet Azatuhi Hovsepyan
Garegin Tepanosyan
Vahagn Muradyan
Shushanik Asmaryan
Andrey Medvedev
Alexander Koshkarev
author_sort Azatuhi Hovsepyan
collection DOAJ
description Shoreline changes are important indicators of natural and manmade impacts on inland waters and particularly lakes. Man-induced changes in Lake Sevan water level during the 20th century affected not only the ecological status of the Sevan water but also near-shore areas. This article considers a long-term study of changes in Lake Sevan shoreline that occurred between 1973 and 2015. The Normalized Difference Water Index (NDWI) was applied to delineate the Sevan shoreline changes according to periods of lake water fluctuation from multi-temporal Landsat images and Historical changes in shorelines were analyzed with help of the Digital Shoreline Analysis System (DSAS) toolbox. Data obtained from the analysis have indicated that changes in the lake shoreline that occurred in different periods are similar to those in the lake water balance. Areas with the greatest shoreline changes have comparatively flat relief, so in the result of the lake water level raise vast forested areas were submerged. This study shows that application of multi-temporal spatial imagery and GIS methods can provide valuable information on time-and-space changes in the Sevan shoreline. Such information is important for monitoring Lake Sevan shoreline and nearshore changes.
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institution OA Journals
issn 2071-9388
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language English
publishDate 2019-12-01
publisher Lomonosov Moscow State University
record_format Article
series Geography, Environment, Sustainability
spelling doaj-art-618d4281f52a4dffa55a7244739a32aa2025-08-20T02:17:34ZengLomonosov Moscow State UniversityGeography, Environment, Sustainability2071-93882542-15652019-12-0112421222910.24057/2071-9388-2019-46431Lake Sevan Shoreline Change Assessment Using Multi-Temporal Landsat ImagesAzatuhi Hovsepyan0Garegin Tepanosyan1Vahagn Muradyan2Shushanik Asmaryan3Andrey Medvedev4Alexander Koshkarev5Center for Ecological – Noosphere Studies NAS RACenter for Ecological – Noosphere Studies NAS RACenter for Ecological – Noosphere Studies NAS RACenter for Ecological – Noosphere Studies NAS RAInstitute of Geography Russian Academy of SciencesInstitute of Geography Russian Academy of SciencesShoreline changes are important indicators of natural and manmade impacts on inland waters and particularly lakes. Man-induced changes in Lake Sevan water level during the 20th century affected not only the ecological status of the Sevan water but also near-shore areas. This article considers a long-term study of changes in Lake Sevan shoreline that occurred between 1973 and 2015. The Normalized Difference Water Index (NDWI) was applied to delineate the Sevan shoreline changes according to periods of lake water fluctuation from multi-temporal Landsat images and Historical changes in shorelines were analyzed with help of the Digital Shoreline Analysis System (DSAS) toolbox. Data obtained from the analysis have indicated that changes in the lake shoreline that occurred in different periods are similar to those in the lake water balance. Areas with the greatest shoreline changes have comparatively flat relief, so in the result of the lake water level raise vast forested areas were submerged. This study shows that application of multi-temporal spatial imagery and GIS methods can provide valuable information on time-and-space changes in the Sevan shoreline. Such information is important for monitoring Lake Sevan shoreline and nearshore changes.https://ges.rgo.ru/jour/article/view/915multi-temporal landsat imagesshoreline delineationshoreline changelake sevan
spellingShingle Azatuhi Hovsepyan
Garegin Tepanosyan
Vahagn Muradyan
Shushanik Asmaryan
Andrey Medvedev
Alexander Koshkarev
Lake Sevan Shoreline Change Assessment Using Multi-Temporal Landsat Images
Geography, Environment, Sustainability
multi-temporal landsat images
shoreline delineation
shoreline change
lake sevan
title Lake Sevan Shoreline Change Assessment Using Multi-Temporal Landsat Images
title_full Lake Sevan Shoreline Change Assessment Using Multi-Temporal Landsat Images
title_fullStr Lake Sevan Shoreline Change Assessment Using Multi-Temporal Landsat Images
title_full_unstemmed Lake Sevan Shoreline Change Assessment Using Multi-Temporal Landsat Images
title_short Lake Sevan Shoreline Change Assessment Using Multi-Temporal Landsat Images
title_sort lake sevan shoreline change assessment using multi temporal landsat images
topic multi-temporal landsat images
shoreline delineation
shoreline change
lake sevan
url https://ges.rgo.ru/jour/article/view/915
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AT garegintepanosyan lakesevanshorelinechangeassessmentusingmultitemporallandsatimages
AT vahagnmuradyan lakesevanshorelinechangeassessmentusingmultitemporallandsatimages
AT shushanikasmaryan lakesevanshorelinechangeassessmentusingmultitemporallandsatimages
AT andreymedvedev lakesevanshorelinechangeassessmentusingmultitemporallandsatimages
AT alexanderkoshkarev lakesevanshorelinechangeassessmentusingmultitemporallandsatimages