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: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/881
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)Conifersremote sensingbiomassA 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.CERNECERNE2016-04-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/881CERNE; Vol. 19 No. 1 (2013); 103-110CERNE; v. 19 n. 1 (2013); 103-1102317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/881/660Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessSevillano-Marco, EvaFernández-Manso, AlfonsoQuintano, CarmenPoulain, Marcela2016-04-19T15:46:46Zoai:cerne.ufla.br:article/881Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2016-04-19T15:46:46Cerne (Online) - 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)
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
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
topic Conifers
remote sensing
biomass
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
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 https://cerne.ufla.br/site/index.php/CERNE/article/view/881
url https://cerne.ufla.br/site/index.php/CERNE/article/view/881
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/881/660
dc.rights.driver.fl_str_mv Copyright (c) 2016 CERNE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 CERNE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol. 19 No. 1 (2013); 103-110
CERNE; v. 19 n. 1 (2013); 103-110
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
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