Vegetation patterns in a South American coastal wetland using high-resolution imagery

Autores
Gonzalez, Eliana Belen; Gonzalez Trilla, Gabriela Liliana; San Martín, Laura; Grimson, Rafael; Kandus, Patricia
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The aim of this study was to map and describe marsh patterns in a temperate coastal wetlands with high resolution imagery. We carried out a map of Samborombon Bay at 1:25,000 scale (central coordinates: 36º S 56º W, area: 320.25 km2) by using a WorldView-2 image acquired on November 17, 2010. An Object Based Image Analysis approach was chosen, and an unsupervised classification algorithm was applied. Overall classification accuracy was 81% and the Kappa index was 78.1%. We found four spatial patterns at a landscape scale. The lower intertidal was dominated by mudflats without vegetation in the exterior and middle estuary (patterns 1 and 2) and Bolboschoenus maritimus in the inner estuary (pattern 4). The middle intertidal was dominated by Sarcocornia ambigua in the four patterns while the higher intertidal was dominated by Spartina densiflorus and grasslands with Cortaderia selloana (pattern 3). The map allowed the discrimination of plant communities at a landscape scale and became a valuable baseline for future studies on wetland environmental indicators.
Fil: Gonzalez, Eliana Belen. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gonzalez Trilla, Gabriela Liliana. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: San Martín, Laura. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Grimson, Rafael. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Kandus, Patricia. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina
Materia
COASTAL MARSHES
PLANT COMMUNITIES
SAMBOROMBON BAY
OBJECTBASED IMAGE ANALYSIS
TIDAL PLAIN
WORLDVIEW-2
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/154789

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network_name_str CONICET Digital (CONICET)
spelling Vegetation patterns in a South American coastal wetland using high-resolution imageryGonzalez, Eliana BelenGonzalez Trilla, Gabriela LilianaSan Martín, LauraGrimson, RafaelKandus, PatriciaCOASTAL MARSHESPLANT COMMUNITIESSAMBOROMBON BAYOBJECTBASED IMAGE ANALYSISTIDAL PLAINWORLDVIEW-2https://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The aim of this study was to map and describe marsh patterns in a temperate coastal wetlands with high resolution imagery. We carried out a map of Samborombon Bay at 1:25,000 scale (central coordinates: 36º S 56º W, area: 320.25 km2) by using a WorldView-2 image acquired on November 17, 2010. An Object Based Image Analysis approach was chosen, and an unsupervised classification algorithm was applied. Overall classification accuracy was 81% and the Kappa index was 78.1%. We found four spatial patterns at a landscape scale. The lower intertidal was dominated by mudflats without vegetation in the exterior and middle estuary (patterns 1 and 2) and Bolboschoenus maritimus in the inner estuary (pattern 4). The middle intertidal was dominated by Sarcocornia ambigua in the four patterns while the higher intertidal was dominated by Spartina densiflorus and grasslands with Cortaderia selloana (pattern 3). The map allowed the discrimination of plant communities at a landscape scale and became a valuable baseline for future studies on wetland environmental indicators.Fil: Gonzalez, Eliana Belen. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gonzalez Trilla, Gabriela Liliana. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: San Martín, Laura. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Grimson, Rafael. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Kandus, Patricia. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; ArgentinaTaylor & Francis2019-08-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/154789Gonzalez, Eliana Belen; Gonzalez Trilla, Gabriela Liliana; San Martín, Laura; Grimson, Rafael; Kandus, Patricia; Vegetation patterns in a South American coastal wetland using high-resolution imagery; Taylor & Francis; Journal of Maps; 15; 2; 13-8-2019; 642-6501744-5647CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/17445647.2019.1644545?scroll=top&needAccess=trueinfo:eu-repo/semantics/altIdentifier/doi/10.1080/17445647.2019.1644545info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:37:40Zoai:ri.conicet.gov.ar:11336/154789instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:37:41.016CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Vegetation patterns in a South American coastal wetland using high-resolution imagery
title Vegetation patterns in a South American coastal wetland using high-resolution imagery
spellingShingle Vegetation patterns in a South American coastal wetland using high-resolution imagery
Gonzalez, Eliana Belen
COASTAL MARSHES
PLANT COMMUNITIES
SAMBOROMBON BAY
OBJECTBASED IMAGE ANALYSIS
TIDAL PLAIN
WORLDVIEW-2
title_short Vegetation patterns in a South American coastal wetland using high-resolution imagery
title_full Vegetation patterns in a South American coastal wetland using high-resolution imagery
title_fullStr Vegetation patterns in a South American coastal wetland using high-resolution imagery
title_full_unstemmed Vegetation patterns in a South American coastal wetland using high-resolution imagery
title_sort Vegetation patterns in a South American coastal wetland using high-resolution imagery
dc.creator.none.fl_str_mv Gonzalez, Eliana Belen
Gonzalez Trilla, Gabriela Liliana
San Martín, Laura
Grimson, Rafael
Kandus, Patricia
author Gonzalez, Eliana Belen
author_facet Gonzalez, Eliana Belen
Gonzalez Trilla, Gabriela Liliana
San Martín, Laura
Grimson, Rafael
Kandus, Patricia
author_role author
author2 Gonzalez Trilla, Gabriela Liliana
San Martín, Laura
Grimson, Rafael
Kandus, Patricia
author2_role author
author
author
author
dc.subject.none.fl_str_mv COASTAL MARSHES
PLANT COMMUNITIES
SAMBOROMBON BAY
OBJECTBASED IMAGE ANALYSIS
TIDAL PLAIN
WORLDVIEW-2
topic COASTAL MARSHES
PLANT COMMUNITIES
SAMBOROMBON BAY
OBJECTBASED IMAGE ANALYSIS
TIDAL PLAIN
WORLDVIEW-2
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The aim of this study was to map and describe marsh patterns in a temperate coastal wetlands with high resolution imagery. We carried out a map of Samborombon Bay at 1:25,000 scale (central coordinates: 36º S 56º W, area: 320.25 km2) by using a WorldView-2 image acquired on November 17, 2010. An Object Based Image Analysis approach was chosen, and an unsupervised classification algorithm was applied. Overall classification accuracy was 81% and the Kappa index was 78.1%. We found four spatial patterns at a landscape scale. The lower intertidal was dominated by mudflats without vegetation in the exterior and middle estuary (patterns 1 and 2) and Bolboschoenus maritimus in the inner estuary (pattern 4). The middle intertidal was dominated by Sarcocornia ambigua in the four patterns while the higher intertidal was dominated by Spartina densiflorus and grasslands with Cortaderia selloana (pattern 3). The map allowed the discrimination of plant communities at a landscape scale and became a valuable baseline for future studies on wetland environmental indicators.
Fil: Gonzalez, Eliana Belen. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gonzalez Trilla, Gabriela Liliana. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: San Martín, Laura. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Grimson, Rafael. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Kandus, Patricia. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina
description The aim of this study was to map and describe marsh patterns in a temperate coastal wetlands with high resolution imagery. We carried out a map of Samborombon Bay at 1:25,000 scale (central coordinates: 36º S 56º W, area: 320.25 km2) by using a WorldView-2 image acquired on November 17, 2010. An Object Based Image Analysis approach was chosen, and an unsupervised classification algorithm was applied. Overall classification accuracy was 81% and the Kappa index was 78.1%. We found four spatial patterns at a landscape scale. The lower intertidal was dominated by mudflats without vegetation in the exterior and middle estuary (patterns 1 and 2) and Bolboschoenus maritimus in the inner estuary (pattern 4). The middle intertidal was dominated by Sarcocornia ambigua in the four patterns while the higher intertidal was dominated by Spartina densiflorus and grasslands with Cortaderia selloana (pattern 3). The map allowed the discrimination of plant communities at a landscape scale and became a valuable baseline for future studies on wetland environmental indicators.
publishDate 2019
dc.date.none.fl_str_mv 2019-08-13
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/154789
Gonzalez, Eliana Belen; Gonzalez Trilla, Gabriela Liliana; San Martín, Laura; Grimson, Rafael; Kandus, Patricia; Vegetation patterns in a South American coastal wetland using high-resolution imagery; Taylor & Francis; Journal of Maps; 15; 2; 13-8-2019; 642-650
1744-5647
CONICET Digital
CONICET
url http://hdl.handle.net/11336/154789
identifier_str_mv Gonzalez, Eliana Belen; Gonzalez Trilla, Gabriela Liliana; San Martín, Laura; Grimson, Rafael; Kandus, Patricia; Vegetation patterns in a South American coastal wetland using high-resolution imagery; Taylor & Francis; Journal of Maps; 15; 2; 13-8-2019; 642-650
1744-5647
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/17445647.2019.1644545?scroll=top&needAccess=true
info:eu-repo/semantics/altIdentifier/doi/10.1080/17445647.2019.1644545
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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