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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/61513
Ver los metadatos del registro completo
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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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1844613291366678528 |
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13.070432 |