The use of modern and archive remote sensing data for GIS monitoring of riparian ecosystems

Association of lowland reservoirs with marsh systems at an ordinary water level amplitude of 3–5 m can increase the total flooding area 1.5–2 times. The use of remote sensing and GIS for the processing and storage of satellite and field data allows the study and monitoring of wetland ecosystems at a...

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Autor principal: Alexey V. Kutuzov
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RU
Publicado: Cherepovets State University 2018
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Acceso en línea:https://doaj.org/article/e45ef0b4f79f4adea3514144d183ae97
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spelling oai:doaj.org-article:e45ef0b4f79f4adea3514144d183ae972021-11-18T12:10:58ZThe use of modern and archive remote sensing data for GIS monitoring of riparian ecosystems10.23859/estr­-1802092619-094X2619-0931https://doaj.org/article/e45ef0b4f79f4adea3514144d183ae972018-10-01T00:00:00Zhttp://en.ecosysttrans.com/publikatsii/ecosystem-transformation-volume-1-no-1-2018/the-use-of-modern-and-archive-remote-sensing-data-for-gis-monitoring-of-riparian-ecosystems/https://doaj.org/toc/2619-094Xhttps://doaj.org/toc/2619-0931Association of lowland reservoirs with marsh systems at an ordinary water level amplitude of 3–5 m can increase the total flooding area 1.5–2 times. The use of remote sensing and GIS for the processing and storage of satellite and field data allows the study and monitoring of wetland ecosystems at a new information and cartographic level, as well as correcting and supplementing existing literary and cartographic data. In this work we used ERS data obtained from the modern Landsat­8 and Sentinel­2 satellites. The GIS­based analysis of changes in the studied landscapes revealed the zone of direct influence of the reservoir inland up to 3.5 km, and allowed the areas of shallow water and adjacent wetland ecosystems to be evaluated and four hydrological zones to be established.Alexey V. KutuzovCherepovets State Universityarticleecotonemarsh ecosystemsreservoirbasinfloodplainflooded areassatellite imageryEnvironmental sciencesGE1-350ENRUТрансформация экосистем, Vol 1, Iss 1, Pp 24-28 (2018)
institution DOAJ
collection DOAJ
language EN
RU
topic ecotone
marsh ecosystems
reservoir
basin
floodplain
flooded areas
satellite imagery
Environmental sciences
GE1-350
spellingShingle ecotone
marsh ecosystems
reservoir
basin
floodplain
flooded areas
satellite imagery
Environmental sciences
GE1-350
Alexey V. Kutuzov
The use of modern and archive remote sensing data for GIS monitoring of riparian ecosystems
description Association of lowland reservoirs with marsh systems at an ordinary water level amplitude of 3–5 m can increase the total flooding area 1.5–2 times. The use of remote sensing and GIS for the processing and storage of satellite and field data allows the study and monitoring of wetland ecosystems at a new information and cartographic level, as well as correcting and supplementing existing literary and cartographic data. In this work we used ERS data obtained from the modern Landsat­8 and Sentinel­2 satellites. The GIS­based analysis of changes in the studied landscapes revealed the zone of direct influence of the reservoir inland up to 3.5 km, and allowed the areas of shallow water and adjacent wetland ecosystems to be evaluated and four hydrological zones to be established.
format article
author Alexey V. Kutuzov
author_facet Alexey V. Kutuzov
author_sort Alexey V. Kutuzov
title The use of modern and archive remote sensing data for GIS monitoring of riparian ecosystems
title_short The use of modern and archive remote sensing data for GIS monitoring of riparian ecosystems
title_full The use of modern and archive remote sensing data for GIS monitoring of riparian ecosystems
title_fullStr The use of modern and archive remote sensing data for GIS monitoring of riparian ecosystems
title_full_unstemmed The use of modern and archive remote sensing data for GIS monitoring of riparian ecosystems
title_sort use of modern and archive remote sensing data for gis monitoring of riparian ecosystems
publisher Cherepovets State University
publishDate 2018
url https://doaj.org/article/e45ef0b4f79f4adea3514144d183ae97
work_keys_str_mv AT alexeyvkutuzov theuseofmodernandarchiveremotesensingdataforgismonitoringofriparianecosystems
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