CCD CBERS and ASTER data in dasometric characterization of Pinus radiata D. Don (north-western Spain)

Detalhes bibliográficos
Autor(a) principal: Sevillano-Marco, Eva
Data de Publicação: 2016
Outros Autores: Fernández-Manso, Alfonso, Quintano, Carmen, Poulain, Marcela
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/14146
Resumo: A Chinese-Brazilian Earth Resources Satellite (CBERS) and an Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) scenes coupled with ancillary georeferenced data and field survey were employed to examine the potential of the remote sensing data in stand basal area, volume and aboveground biomass assessment over large areas of Pinus radiata D. Don plantations in Northwestern Spain. Statistical analysis proved that the near infrared band and the shade fraction image showed significant correlation coefficients with all stand variables considered. Predictive models were accordingly selected and utilized to undertake the spatial distribution of stand variables in radiata stands delimited by the National Forestry Map. The study reinforces the potentiality of remote sensing techniques in a cost-effective assessment of forest systems.
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spelling CCD CBERS and ASTER data in dasometric characterization of Pinus radiata D. Don (north-western Spain)Dados CCD CBERS e ASTER na caracterização dasométrica de Pinus radiata D. Don (noroeste Espanha)ConifersRemote sensingBiomassConíferaPercepção remotaBiomassaA Chinese-Brazilian Earth Resources Satellite (CBERS) and an Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) scenes coupled with ancillary georeferenced data and field survey were employed to examine the potential of the remote sensing data in stand basal area, volume and aboveground biomass assessment over large areas of Pinus radiata D. Don plantations in Northwestern Spain. Statistical analysis proved that the near infrared band and the shade fraction image showed significant correlation coefficients with all stand variables considered. Predictive models were accordingly selected and utilized to undertake the spatial distribution of stand variables in radiata stands delimited by the National Forestry Map. The study reinforces the potentiality of remote sensing techniques in a cost-effective assessment of forest systems.Partindo de cenas do Chinese-Brazilian Earth Resources Satellite (CBERS) e Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), acopladas a dados georreferenciados complementares e dados de inventario de campo de parcelas permanentes, determina-se o potencial dos dados de percepção remota para a avaliação de área basimétrica, volume e biomassa aérea em superfícies amplas de plantações de Pinus radiata D. Don numa região do noroeste da Espanha. A banda do infravermelho próximo e a imagem da fração sombreada mostram coeficientes de correlação significativos com as variáveis dasométricas consideradas. Os modelos preditivos lineares e não lineares selecionados permitem realizar a distribuição espacial das variáveis dasométricas nos povoamentos de radiata delimitadas pelo Mapa Florestal Nacional. Este estudo reforça a convicção da utilidade da percepção remota na caracterização de sistemas florestais.Universidade Federal de Lavras (UFLA)2016-04-052017-08-01T20:13:43Z2017-08-01T20:13:43Z2017-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfSEVILLANO-MARCO, E. et al. CCD CBERS and ASTER data in dasometric characterization of Pinus radiata D. Don (north-western Spain). CERNE, Lavras, v. 19, n. 1, p. 103-110, jan./mar. 2013.http://repositorio.ufla.br/jspui/handle/1/141462317-63420104-7760reponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttp://www.cerne.ufla.br/site/index.php/CERNE/article/view/881/660Copyright (c) 2016 CERNEhttp://creativecommons.org/licenses/by/4.0/Attribution 4.0 Internationalinfo:eu-repo/semantics/openAccessSevillano-Marco, EvaFernández-Manso, AlfonsoQuintano, CarmenPoulain, Marcela2021-08-01T02:35:05Zoai:localhost:1/14146Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2021-08-01T02:35:05Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv CCD CBERS and ASTER data in dasometric characterization of Pinus radiata D. Don (north-western Spain)
Dados CCD CBERS e ASTER na caracterização dasométrica de Pinus radiata D. Don (noroeste Espanha)
title CCD CBERS and ASTER data in dasometric characterization of Pinus radiata D. Don (north-western Spain)
spellingShingle CCD CBERS and ASTER data in dasometric characterization of Pinus radiata D. Don (north-western Spain)
Sevillano-Marco, Eva
Conifers
Remote sensing
Biomass
Conífera
Percepção remota
Biomassa
title_short CCD CBERS and ASTER data in dasometric characterization of Pinus radiata D. Don (north-western Spain)
title_full CCD CBERS and ASTER data in dasometric characterization of Pinus radiata D. Don (north-western Spain)
title_fullStr CCD CBERS and ASTER data in dasometric characterization of Pinus radiata D. Don (north-western Spain)
title_full_unstemmed CCD CBERS and ASTER data in dasometric characterization of Pinus radiata D. Don (north-western Spain)
title_sort CCD CBERS and ASTER data in dasometric characterization of Pinus radiata D. Don (north-western Spain)
author Sevillano-Marco, Eva
author_facet Sevillano-Marco, Eva
Fernández-Manso, Alfonso
Quintano, Carmen
Poulain, Marcela
author_role author
author2 Fernández-Manso, Alfonso
Quintano, Carmen
Poulain, Marcela
author2_role author
author
author
dc.contributor.author.fl_str_mv Sevillano-Marco, Eva
Fernández-Manso, Alfonso
Quintano, Carmen
Poulain, Marcela
dc.subject.por.fl_str_mv Conifers
Remote sensing
Biomass
Conífera
Percepção remota
Biomassa
topic Conifers
Remote sensing
Biomass
Conífera
Percepção remota
Biomassa
description A Chinese-Brazilian Earth Resources Satellite (CBERS) and an Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) scenes coupled with ancillary georeferenced data and field survey were employed to examine the potential of the remote sensing data in stand basal area, volume and aboveground biomass assessment over large areas of Pinus radiata D. Don plantations in Northwestern Spain. Statistical analysis proved that the near infrared band and the shade fraction image showed significant correlation coefficients with all stand variables considered. Predictive models were accordingly selected and utilized to undertake the spatial distribution of stand variables in radiata stands delimited by the National Forestry Map. The study reinforces the potentiality of remote sensing techniques in a cost-effective assessment of forest systems.
publishDate 2016
dc.date.none.fl_str_mv 2016-04-05
2017-08-01T20:13:43Z
2017-08-01T20:13:43Z
2017-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv SEVILLANO-MARCO, E. et al. CCD CBERS and ASTER data in dasometric characterization of Pinus radiata D. Don (north-western Spain). CERNE, Lavras, v. 19, n. 1, p. 103-110, jan./mar. 2013.
http://repositorio.ufla.br/jspui/handle/1/14146
identifier_str_mv SEVILLANO-MARCO, E. et al. CCD CBERS and ASTER data in dasometric characterization of Pinus radiata D. Don (north-western Spain). CERNE, Lavras, v. 19, n. 1, p. 103-110, jan./mar. 2013.
url http://repositorio.ufla.br/jspui/handle/1/14146
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.cerne.ufla.br/site/index.php/CERNE/article/view/881/660
dc.rights.driver.fl_str_mv Copyright (c) 2016 CERNE
http://creativecommons.org/licenses/by/4.0/
Attribution 4.0 International
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 CERNE
http://creativecommons.org/licenses/by/4.0/
Attribution 4.0 International
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Lavras (UFLA)
publisher.none.fl_str_mv Universidade Federal de Lavras (UFLA)
dc.source.none.fl_str_mv 2317-6342
0104-7760
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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