Estimation of Forest Stands Biophysical Parameters Using LANDSAT TM Images of Pinus pinaster Stands in Northern Portugal

Bibliographic Details
Main Author: Lopes,Domingos
Publication Date: 2012
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522012000100005
Summary: Investigation on remote imagery accuracy for forest stands biophysical parameters estimation has been increasing in the last decades. In order to analyse how Landsat TM images and derived vegetation indices could be used to estimate Pinus pinaster stands biophysical parameters, 42 sampling plots were established in August 1997 in order to obtain leaf area index (LAI) field estimates, dendrometric stands characteristics (e.g. diameter at breast height, tree's volume) and spectrometric radiometric data. Sampling plots location was mapped using a GPS. After fieldwork, a Landsat TM image was submitted to pre-processing techniques (radiometric, atmospheric and geometric correction) and vegetation indices were calculated. Several regression equations were adjusted in order to create mathematical models to estimate biophysical parameters, using the better-correlated vegetation indices as independent variables. The results demonstrated that Pinus pinaster stands biophysical parameters could be estimated by means of vegetation indices derived from Landsat TM images, being the best results achieved for site index, diameter at breast height and mean and dominant height.
id RCAP_4d4221c5b03fd0b7d69c6dc80c57401a
oai_identifier_str oai:scielo:S0870-63522012000100005
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Estimation of Forest Stands Biophysical Parameters Using LANDSAT TM Images of Pinus pinaster Stands in Northern PortugalPinus pinasterforestry biophysical parametersremote sensingvegetation indicesestimationInvestigation on remote imagery accuracy for forest stands biophysical parameters estimation has been increasing in the last decades. In order to analyse how Landsat TM images and derived vegetation indices could be used to estimate Pinus pinaster stands biophysical parameters, 42 sampling plots were established in August 1997 in order to obtain leaf area index (LAI) field estimates, dendrometric stands characteristics (e.g. diameter at breast height, tree's volume) and spectrometric radiometric data. Sampling plots location was mapped using a GPS. After fieldwork, a Landsat TM image was submitted to pre-processing techniques (radiometric, atmospheric and geometric correction) and vegetation indices were calculated. Several regression equations were adjusted in order to create mathematical models to estimate biophysical parameters, using the better-correlated vegetation indices as independent variables. The results demonstrated that Pinus pinaster stands biophysical parameters could be estimated by means of vegetation indices derived from Landsat TM images, being the best results achieved for site index, diameter at breast height and mean and dominant height.Unidade de Silvicultura e Produtos Florestais2012-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522012000100005Silva Lusitana v.20 n.1-2 2012reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522012000100005Lopes,Domingosinfo:eu-repo/semantics/openAccess2024-02-06T16:59:23Zoai:scielo:S0870-63522012000100005Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T12:49:35.425859Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Estimation of Forest Stands Biophysical Parameters Using LANDSAT TM Images of Pinus pinaster Stands in Northern Portugal
title Estimation of Forest Stands Biophysical Parameters Using LANDSAT TM Images of Pinus pinaster Stands in Northern Portugal
spellingShingle Estimation of Forest Stands Biophysical Parameters Using LANDSAT TM Images of Pinus pinaster Stands in Northern Portugal
Lopes,Domingos
Pinus pinaster
forestry biophysical parameters
remote sensing
vegetation indices
estimation
title_short Estimation of Forest Stands Biophysical Parameters Using LANDSAT TM Images of Pinus pinaster Stands in Northern Portugal
title_full Estimation of Forest Stands Biophysical Parameters Using LANDSAT TM Images of Pinus pinaster Stands in Northern Portugal
title_fullStr Estimation of Forest Stands Biophysical Parameters Using LANDSAT TM Images of Pinus pinaster Stands in Northern Portugal
title_full_unstemmed Estimation of Forest Stands Biophysical Parameters Using LANDSAT TM Images of Pinus pinaster Stands in Northern Portugal
title_sort Estimation of Forest Stands Biophysical Parameters Using LANDSAT TM Images of Pinus pinaster Stands in Northern Portugal
author Lopes,Domingos
author_facet Lopes,Domingos
author_role author
dc.contributor.author.fl_str_mv Lopes,Domingos
dc.subject.por.fl_str_mv Pinus pinaster
forestry biophysical parameters
remote sensing
vegetation indices
estimation
topic Pinus pinaster
forestry biophysical parameters
remote sensing
vegetation indices
estimation
description Investigation on remote imagery accuracy for forest stands biophysical parameters estimation has been increasing in the last decades. In order to analyse how Landsat TM images and derived vegetation indices could be used to estimate Pinus pinaster stands biophysical parameters, 42 sampling plots were established in August 1997 in order to obtain leaf area index (LAI) field estimates, dendrometric stands characteristics (e.g. diameter at breast height, tree's volume) and spectrometric radiometric data. Sampling plots location was mapped using a GPS. After fieldwork, a Landsat TM image was submitted to pre-processing techniques (radiometric, atmospheric and geometric correction) and vegetation indices were calculated. Several regression equations were adjusted in order to create mathematical models to estimate biophysical parameters, using the better-correlated vegetation indices as independent variables. The results demonstrated that Pinus pinaster stands biophysical parameters could be estimated by means of vegetation indices derived from Landsat TM images, being the best results achieved for site index, diameter at breast height and mean and dominant height.
publishDate 2012
dc.date.none.fl_str_mv 2012-12-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522012000100005
url http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522012000100005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522012000100005
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Unidade de Silvicultura e Produtos Florestais
publisher.none.fl_str_mv Unidade de Silvicultura e Produtos Florestais
dc.source.none.fl_str_mv Silva Lusitana v.20 n.1-2 2012
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833593154865987584

Similar Items