High-resolution satellite imagery is an important yet underutilized resource in conservation biology

Autores
Boyle, Sarah A.; Kennedy, Christina M.; Torres Monges, Julio Cesar; Colman, Karen; Pérez Estigarribia, Pastor E.; de la Sancha, Noé U.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Technological advances and increasing availability of high-resolution satellite imagery offer the potential for more accurate land cover classifications and pattern analyses, which could greatly improve the detection and quantification of land cover change for conservation. Such remotely-sensed products, however, are often expensive and difficult to acquire, which prohibits or reduces their use. We tested whether imagery of high spatial resolution (≤5 m) differs from lower-resolution imagery (≥30 m) in performance and extent of use for conservation applications. To assess performance, we classified land cover in a heterogeneous region of Interior Atlantic Forest in Paraguay, which has undergone recent and dramatic human-induced habitat loss and fragmentation. We used 4 m multispectral IKONOS and 30 m multispectral Landsat imagery and determined the extent to which resolution influenced the delineation of land cover classes and patch-level metrics. Higher-resolution imagery more accurately delineated cover classes, identified smaller patches, retained patch shape, and detected narrower, linear patches. To assess extent of use, we surveyed three conservation journals (Biological Conservation, Biotropica, Conservation Biology) and found limited application of high-resolution imagery in research, with only 26.8% of land cover studies analyzing satellite imagery, and of these studies only 10.4% used imagery ≤5 m resolution. Our results suggest that high-resolution imagery is warranted yet under-utilized in conservation research, but is needed to adequately monitor and evaluate forest loss and conversion, and to delineate potentially important stepping-stone fragments that may serve as corridors in a human-modified landscape. Greater access to low-cost, multiband, high-resolution satellite imagery would therefore greatly facilitate conservation management and decision-making.
Fil: Boyle, Sarah A.. Rhodes College; Estados Unidos
Fil: Kennedy, Christina M.. The Nature Conservancy; Estados Unidos
Fil: Torres Monges, Julio Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Colman, Karen. Secretaría del Ambiente. Dirección de Vida Silvestre; Paraguay
Fil: Pérez Estigarribia, Pastor E.. Universidad de Concepción; Chile
Fil: de la Sancha, Noé U.. The Field Museum of Natural History; Estados Unidos
Materia
IMAGERY
HIGH RESOLUTION
ATLANTIC FOREST
CONSEVATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/61513

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network_name_str CONICET Digital (CONICET)
spelling High-resolution satellite imagery is an important yet underutilized resource in conservation biologyBoyle, Sarah A.Kennedy, Christina M.Torres Monges, Julio CesarColman, KarenPérez Estigarribia, Pastor E.de la Sancha, Noé U.IMAGERYHIGH RESOLUTIONATLANTIC FORESTCONSEVATIONhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Technological advances and increasing availability of high-resolution satellite imagery offer the potential for more accurate land cover classifications and pattern analyses, which could greatly improve the detection and quantification of land cover change for conservation. Such remotely-sensed products, however, are often expensive and difficult to acquire, which prohibits or reduces their use. We tested whether imagery of high spatial resolution (≤5 m) differs from lower-resolution imagery (≥30 m) in performance and extent of use for conservation applications. To assess performance, we classified land cover in a heterogeneous region of Interior Atlantic Forest in Paraguay, which has undergone recent and dramatic human-induced habitat loss and fragmentation. We used 4 m multispectral IKONOS and 30 m multispectral Landsat imagery and determined the extent to which resolution influenced the delineation of land cover classes and patch-level metrics. Higher-resolution imagery more accurately delineated cover classes, identified smaller patches, retained patch shape, and detected narrower, linear patches. To assess extent of use, we surveyed three conservation journals (Biological Conservation, Biotropica, Conservation Biology) and found limited application of high-resolution imagery in research, with only 26.8% of land cover studies analyzing satellite imagery, and of these studies only 10.4% used imagery ≤5 m resolution. Our results suggest that high-resolution imagery is warranted yet under-utilized in conservation research, but is needed to adequately monitor and evaluate forest loss and conversion, and to delineate potentially important stepping-stone fragments that may serve as corridors in a human-modified landscape. Greater access to low-cost, multiband, high-resolution satellite imagery would therefore greatly facilitate conservation management and decision-making.Fil: Boyle, Sarah A.. Rhodes College; Estados UnidosFil: Kennedy, Christina M.. The Nature Conservancy; Estados UnidosFil: Torres Monges, Julio Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; ArgentinaFil: Colman, Karen. Secretaría del Ambiente. Dirección de Vida Silvestre; ParaguayFil: Pérez Estigarribia, Pastor E.. Universidad de Concepción; ChileFil: de la Sancha, Noé U.. The Field Museum of Natural History; Estados UnidosPublic Library of Science2014-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/61513Boyle, Sarah A.; Kennedy, Christina M.; Torres Monges, Julio Cesar; Colman, Karen; Pérez Estigarribia, Pastor E.; et al.; High-resolution satellite imagery is an important yet underutilized resource in conservation biology; Public Library of Science; Plos One; 9; 1; 1-2014; e869081932-6203CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0086908info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0086908info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:40:48Zoai:ri.conicet.gov.ar:11336/61513instacron: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 09:40:48.388CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv High-resolution satellite imagery is an important yet underutilized resource in conservation biology
title High-resolution satellite imagery is an important yet underutilized resource in conservation biology
spellingShingle High-resolution satellite imagery is an important yet underutilized resource in conservation biology
Boyle, Sarah A.
IMAGERY
HIGH RESOLUTION
ATLANTIC FOREST
CONSEVATION
title_short High-resolution satellite imagery is an important yet underutilized resource in conservation biology
title_full High-resolution satellite imagery is an important yet underutilized resource in conservation biology
title_fullStr High-resolution satellite imagery is an important yet underutilized resource in conservation biology
title_full_unstemmed High-resolution satellite imagery is an important yet underutilized resource in conservation biology
title_sort High-resolution satellite imagery is an important yet underutilized resource in conservation biology
dc.creator.none.fl_str_mv Boyle, Sarah A.
Kennedy, Christina M.
Torres Monges, Julio Cesar
Colman, Karen
Pérez Estigarribia, Pastor E.
de la Sancha, Noé U.
author Boyle, Sarah A.
author_facet Boyle, Sarah A.
Kennedy, Christina M.
Torres Monges, Julio Cesar
Colman, Karen
Pérez Estigarribia, Pastor E.
de la Sancha, Noé U.
author_role author
author2 Kennedy, Christina M.
Torres Monges, Julio Cesar
Colman, Karen
Pérez Estigarribia, Pastor E.
de la Sancha, Noé U.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv IMAGERY
HIGH RESOLUTION
ATLANTIC FOREST
CONSEVATION
topic IMAGERY
HIGH RESOLUTION
ATLANTIC FOREST
CONSEVATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Technological advances and increasing availability of high-resolution satellite imagery offer the potential for more accurate land cover classifications and pattern analyses, which could greatly improve the detection and quantification of land cover change for conservation. Such remotely-sensed products, however, are often expensive and difficult to acquire, which prohibits or reduces their use. We tested whether imagery of high spatial resolution (≤5 m) differs from lower-resolution imagery (≥30 m) in performance and extent of use for conservation applications. To assess performance, we classified land cover in a heterogeneous region of Interior Atlantic Forest in Paraguay, which has undergone recent and dramatic human-induced habitat loss and fragmentation. We used 4 m multispectral IKONOS and 30 m multispectral Landsat imagery and determined the extent to which resolution influenced the delineation of land cover classes and patch-level metrics. Higher-resolution imagery more accurately delineated cover classes, identified smaller patches, retained patch shape, and detected narrower, linear patches. To assess extent of use, we surveyed three conservation journals (Biological Conservation, Biotropica, Conservation Biology) and found limited application of high-resolution imagery in research, with only 26.8% of land cover studies analyzing satellite imagery, and of these studies only 10.4% used imagery ≤5 m resolution. Our results suggest that high-resolution imagery is warranted yet under-utilized in conservation research, but is needed to adequately monitor and evaluate forest loss and conversion, and to delineate potentially important stepping-stone fragments that may serve as corridors in a human-modified landscape. Greater access to low-cost, multiband, high-resolution satellite imagery would therefore greatly facilitate conservation management and decision-making.
Fil: Boyle, Sarah A.. Rhodes College; Estados Unidos
Fil: Kennedy, Christina M.. The Nature Conservancy; Estados Unidos
Fil: Torres Monges, Julio Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Colman, Karen. Secretaría del Ambiente. Dirección de Vida Silvestre; Paraguay
Fil: Pérez Estigarribia, Pastor E.. Universidad de Concepción; Chile
Fil: de la Sancha, Noé U.. The Field Museum of Natural History; Estados Unidos
description Technological advances and increasing availability of high-resolution satellite imagery offer the potential for more accurate land cover classifications and pattern analyses, which could greatly improve the detection and quantification of land cover change for conservation. Such remotely-sensed products, however, are often expensive and difficult to acquire, which prohibits or reduces their use. We tested whether imagery of high spatial resolution (≤5 m) differs from lower-resolution imagery (≥30 m) in performance and extent of use for conservation applications. To assess performance, we classified land cover in a heterogeneous region of Interior Atlantic Forest in Paraguay, which has undergone recent and dramatic human-induced habitat loss and fragmentation. We used 4 m multispectral IKONOS and 30 m multispectral Landsat imagery and determined the extent to which resolution influenced the delineation of land cover classes and patch-level metrics. Higher-resolution imagery more accurately delineated cover classes, identified smaller patches, retained patch shape, and detected narrower, linear patches. To assess extent of use, we surveyed three conservation journals (Biological Conservation, Biotropica, Conservation Biology) and found limited application of high-resolution imagery in research, with only 26.8% of land cover studies analyzing satellite imagery, and of these studies only 10.4% used imagery ≤5 m resolution. Our results suggest that high-resolution imagery is warranted yet under-utilized in conservation research, but is needed to adequately monitor and evaluate forest loss and conversion, and to delineate potentially important stepping-stone fragments that may serve as corridors in a human-modified landscape. Greater access to low-cost, multiband, high-resolution satellite imagery would therefore greatly facilitate conservation management and decision-making.
publishDate 2014
dc.date.none.fl_str_mv 2014-01
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/11336/61513
Boyle, Sarah A.; Kennedy, Christina M.; Torres Monges, Julio Cesar; Colman, Karen; Pérez Estigarribia, Pastor E.; et al.; High-resolution satellite imagery is an important yet underutilized resource in conservation biology; Public Library of Science; Plos One; 9; 1; 1-2014; e86908
1932-6203
CONICET Digital
CONICET
url http://hdl.handle.net/11336/61513
identifier_str_mv Boyle, Sarah A.; Kennedy, Christina M.; Torres Monges, Julio Cesar; Colman, Karen; Pérez Estigarribia, Pastor E.; et al.; High-resolution satellite imagery is an important yet underutilized resource in conservation biology; Public Library of Science; Plos One; 9; 1; 1-2014; e86908
1932-6203
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://journals.plos.org/plosone/article?id=10.1371/journal.pone.0086908
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0086908
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
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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