SPECTRAL MIXTURE MODELING TO ESTIMATE WOOD VOLUME IN NORTH OF SPAIN FROM OPTICAL SATELLITE DATA
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Ambiência (Online) |
Texto Completo: | https://revistas.unicentro.br/index.php/ambiencia/article/view/194 |
Resumo: | Information from satellite imagery is an important data source to Forest management. Remote sensing techniques provide information about volume, biomass and other biophysical parameters of forest stands. The main goal of this work is to map the conifer stand volume from Landsat Thematic Mapper (TM) data using Spectral Mixture Analysis (SMA). Fraction images from spectral unmixing show biophysics properties more easily than original bands because they represent physics aspects of ground covers. The work área was El Alto Valle del Ebro (Spain). Two mini-scenes, (50x50km) acquired on March 12th 1996 and July 13th 1996, were used. The applied methodology had three main steps: 1) unmixing the original imagery, the bands 3, 4, 5 and 7 (the most employed in vegetation studies) were used in SMA; 2) these fraction images were related with the over bark volume (OBV) variable (extracted from Second Spanish National Forest Inventory NFI2 ) by means of regression techniques and multivariate analysis; 3) a volume map was obtained using interpolation techniques from the obtained allometric model and the basal area (BA), of considered stand. The main conclusion of this work was the possibility to obtain a model (adjusted R²=0.75) which permitted to estimate the stand volume from medium spatial resolution satellite data. Moreover, the use of this model and with the support of digital ortophotographs allowed an estimated volume map to be obtained. |
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Ambiência (Online) |
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SPECTRAL MIXTURE MODELING TO ESTIMATE WOOD VOLUME IN NORTH OF SPAIN FROM OPTICAL SATELLITE DATAForest inventory; remote sensing; conifer stand; volume mapping; unmixing.Information from satellite imagery is an important data source to Forest management. Remote sensing techniques provide information about volume, biomass and other biophysical parameters of forest stands. The main goal of this work is to map the conifer stand volume from Landsat Thematic Mapper (TM) data using Spectral Mixture Analysis (SMA). Fraction images from spectral unmixing show biophysics properties more easily than original bands because they represent physics aspects of ground covers. The work área was El Alto Valle del Ebro (Spain). Two mini-scenes, (50x50km) acquired on March 12th 1996 and July 13th 1996, were used. The applied methodology had three main steps: 1) unmixing the original imagery, the bands 3, 4, 5 and 7 (the most employed in vegetation studies) were used in SMA; 2) these fraction images were related with the over bark volume (OBV) variable (extracted from Second Spanish National Forest Inventory NFI2 ) by means of regression techniques and multivariate analysis; 3) a volume map was obtained using interpolation techniques from the obtained allometric model and the basal area (BA), of considered stand. The main conclusion of this work was the possibility to obtain a model (adjusted R²=0.75) which permitted to estimate the stand volume from medium spatial resolution satellite data. Moreover, the use of this model and with the support of digital ortophotographs allowed an estimated volume map to be obtained.Universidade Estadual do Centro-Oeste do Paraná, UNICENTROManso, Alfonso FernándezPastor, Carmen QuintanoManso, Óscar FernándezSantos, João Roberto dosMaldonado, Francisco Darío2009-09-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.unicentro.br/index.php/ambiencia/article/view/194AMBIÊNCIA; v. 1, n. 2 (2005): Ambiência; 213-2222175-94051808-0251reponame:Ambiência (Online)instname:Universidade Estadual do Centro-Oeste (UNICENTRO)instacron:UNICENTROporhttps://revistas.unicentro.br/index.php/ambiencia/article/view/194/224info:eu-repo/semantics/openAccess2016-12-22T19:43:55Zoai:ojs.revistas.unicentro.br:article/194Revistahttps://revistas.unicentro.br/index.php/ambienciaPUBhttps://revistas.unicentro.br/index.php/ambiencia/oaibertotti@unicentro.br||ambiencia.unicentro@gmail.com2175-94051808-0251opendoar:2016-12-22T19:43:55Ambiência (Online) - Universidade Estadual do Centro-Oeste (UNICENTRO)false |
dc.title.none.fl_str_mv |
SPECTRAL MIXTURE MODELING TO ESTIMATE WOOD VOLUME IN NORTH OF SPAIN FROM OPTICAL SATELLITE DATA |
title |
SPECTRAL MIXTURE MODELING TO ESTIMATE WOOD VOLUME IN NORTH OF SPAIN FROM OPTICAL SATELLITE DATA |
spellingShingle |
SPECTRAL MIXTURE MODELING TO ESTIMATE WOOD VOLUME IN NORTH OF SPAIN FROM OPTICAL SATELLITE DATA Manso, Alfonso Fernández Forest inventory; remote sensing; conifer stand; volume mapping; unmixing. |
title_short |
SPECTRAL MIXTURE MODELING TO ESTIMATE WOOD VOLUME IN NORTH OF SPAIN FROM OPTICAL SATELLITE DATA |
title_full |
SPECTRAL MIXTURE MODELING TO ESTIMATE WOOD VOLUME IN NORTH OF SPAIN FROM OPTICAL SATELLITE DATA |
title_fullStr |
SPECTRAL MIXTURE MODELING TO ESTIMATE WOOD VOLUME IN NORTH OF SPAIN FROM OPTICAL SATELLITE DATA |
title_full_unstemmed |
SPECTRAL MIXTURE MODELING TO ESTIMATE WOOD VOLUME IN NORTH OF SPAIN FROM OPTICAL SATELLITE DATA |
title_sort |
SPECTRAL MIXTURE MODELING TO ESTIMATE WOOD VOLUME IN NORTH OF SPAIN FROM OPTICAL SATELLITE DATA |
author |
Manso, Alfonso Fernández |
author_facet |
Manso, Alfonso Fernández Pastor, Carmen Quintano Manso, Óscar Fernández Santos, João Roberto dos Maldonado, Francisco Darío |
author_role |
author |
author2 |
Pastor, Carmen Quintano Manso, Óscar Fernández Santos, João Roberto dos Maldonado, Francisco Darío |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Manso, Alfonso Fernández Pastor, Carmen Quintano Manso, Óscar Fernández Santos, João Roberto dos Maldonado, Francisco Darío |
dc.subject.por.fl_str_mv |
Forest inventory; remote sensing; conifer stand; volume mapping; unmixing. |
topic |
Forest inventory; remote sensing; conifer stand; volume mapping; unmixing. |
description |
Information from satellite imagery is an important data source to Forest management. Remote sensing techniques provide information about volume, biomass and other biophysical parameters of forest stands. The main goal of this work is to map the conifer stand volume from Landsat Thematic Mapper (TM) data using Spectral Mixture Analysis (SMA). Fraction images from spectral unmixing show biophysics properties more easily than original bands because they represent physics aspects of ground covers. The work área was El Alto Valle del Ebro (Spain). Two mini-scenes, (50x50km) acquired on March 12th 1996 and July 13th 1996, were used. The applied methodology had three main steps: 1) unmixing the original imagery, the bands 3, 4, 5 and 7 (the most employed in vegetation studies) were used in SMA; 2) these fraction images were related with the over bark volume (OBV) variable (extracted from Second Spanish National Forest Inventory NFI2 ) by means of regression techniques and multivariate analysis; 3) a volume map was obtained using interpolation techniques from the obtained allometric model and the basal area (BA), of considered stand. The main conclusion of this work was the possibility to obtain a model (adjusted R²=0.75) which permitted to estimate the stand volume from medium spatial resolution satellite data. Moreover, the use of this model and with the support of digital ortophotographs allowed an estimated volume map to be obtained. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-09-28 |
dc.type.none.fl_str_mv |
|
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://revistas.unicentro.br/index.php/ambiencia/article/view/194 |
url |
https://revistas.unicentro.br/index.php/ambiencia/article/view/194 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.unicentro.br/index.php/ambiencia/article/view/194/224 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual do Centro-Oeste do Paraná, UNICENTRO |
publisher.none.fl_str_mv |
Universidade Estadual do Centro-Oeste do Paraná, UNICENTRO |
dc.source.none.fl_str_mv |
AMBIÊNCIA; v. 1, n. 2 (2005): Ambiência; 213-222 2175-9405 1808-0251 reponame:Ambiência (Online) instname:Universidade Estadual do Centro-Oeste (UNICENTRO) instacron:UNICENTRO |
instname_str |
Universidade Estadual do Centro-Oeste (UNICENTRO) |
instacron_str |
UNICENTRO |
institution |
UNICENTRO |
reponame_str |
Ambiência (Online) |
collection |
Ambiência (Online) |
repository.name.fl_str_mv |
Ambiência (Online) - Universidade Estadual do Centro-Oeste (UNICENTRO) |
repository.mail.fl_str_mv |
bertotti@unicentro.br||ambiencia.unicentro@gmail.com |
_version_ |
1798316924063449088 |