CCD CBERS and ASTER data in dasometric characterization of Pinus radiata D. Don (north-western Spain)
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
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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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 |
_version_ |
1784550145769078784 |