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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/154789
Ver los metadatos del registro completo
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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) |
collection |
CONICET Digital (CONICET) |
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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1844614397358505984 |
score |
13.070432 |