Monitoring leaf area index at watershed level through NDVI from Landsat-7/ETM+ data

Detalhes bibliográficos
Autor(a) principal: Xavier,Alexandre Cândido
Data de Publicação: 2004
Outros Autores: Vettorazzi,Carlos Alberto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162004000300001
Resumo: Leaf area index (LAI) is an important parameter of the vegetation canopy, and is used, for instance, to estimate evapotranspiration, an important component of the hydrological cycle. This work analyzed the relationship between LAI, measured in field, and NDVI from four dates (derived from Landsat-7/ETM+ data), and with such vegetation index, to generate and analyze LAI maps of the study area for the diverse dates. LAI data were collected monthly in the field with LAI-2000 equipment in stands of sugar cane, pasture, corn, eucalypt, and riparian forest. The relationships between LAI and NDVI were adjusted by a potential model; 57% to 72% of the NDVI variance were explained by the LAI. LAI maps generated by empirical relationships between LAI and NDVI showed reasonable precision (standard error of LAI estimate ranged from 0.42 to 0.87 m² m-2). The mean LAI value of each monthly LAI map was shown to be related to the total precipitation in the three previous months.
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spelling Monitoring leaf area index at watershed level through NDVI from Landsat-7/ETM+ databiophysical variableremote sensingspectral vegetation indicesLeaf area index (LAI) is an important parameter of the vegetation canopy, and is used, for instance, to estimate evapotranspiration, an important component of the hydrological cycle. This work analyzed the relationship between LAI, measured in field, and NDVI from four dates (derived from Landsat-7/ETM+ data), and with such vegetation index, to generate and analyze LAI maps of the study area for the diverse dates. LAI data were collected monthly in the field with LAI-2000 equipment in stands of sugar cane, pasture, corn, eucalypt, and riparian forest. The relationships between LAI and NDVI were adjusted by a potential model; 57% to 72% of the NDVI variance were explained by the LAI. LAI maps generated by empirical relationships between LAI and NDVI showed reasonable precision (standard error of LAI estimate ranged from 0.42 to 0.87 m² m-2). The mean LAI value of each monthly LAI map was shown to be related to the total precipitation in the three previous months.Escola Superior de Agricultura "Luiz de Queiroz"2004-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162004000300001Scientia Agricola v.61 n.3 2004reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90162004000300001info:eu-repo/semantics/openAccessXavier,Alexandre CândidoVettorazzi,Carlos Albertoeng2004-07-01T00:00:00Zoai:scielo:S0103-90162004000300001Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2004-07-01T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Monitoring leaf area index at watershed level through NDVI from Landsat-7/ETM+ data
title Monitoring leaf area index at watershed level through NDVI from Landsat-7/ETM+ data
spellingShingle Monitoring leaf area index at watershed level through NDVI from Landsat-7/ETM+ data
Xavier,Alexandre Cândido
biophysical variable
remote sensing
spectral vegetation indices
title_short Monitoring leaf area index at watershed level through NDVI from Landsat-7/ETM+ data
title_full Monitoring leaf area index at watershed level through NDVI from Landsat-7/ETM+ data
title_fullStr Monitoring leaf area index at watershed level through NDVI from Landsat-7/ETM+ data
title_full_unstemmed Monitoring leaf area index at watershed level through NDVI from Landsat-7/ETM+ data
title_sort Monitoring leaf area index at watershed level through NDVI from Landsat-7/ETM+ data
author Xavier,Alexandre Cândido
author_facet Xavier,Alexandre Cândido
Vettorazzi,Carlos Alberto
author_role author
author2 Vettorazzi,Carlos Alberto
author2_role author
dc.contributor.author.fl_str_mv Xavier,Alexandre Cândido
Vettorazzi,Carlos Alberto
dc.subject.por.fl_str_mv biophysical variable
remote sensing
spectral vegetation indices
topic biophysical variable
remote sensing
spectral vegetation indices
description Leaf area index (LAI) is an important parameter of the vegetation canopy, and is used, for instance, to estimate evapotranspiration, an important component of the hydrological cycle. This work analyzed the relationship between LAI, measured in field, and NDVI from four dates (derived from Landsat-7/ETM+ data), and with such vegetation index, to generate and analyze LAI maps of the study area for the diverse dates. LAI data were collected monthly in the field with LAI-2000 equipment in stands of sugar cane, pasture, corn, eucalypt, and riparian forest. The relationships between LAI and NDVI were adjusted by a potential model; 57% to 72% of the NDVI variance were explained by the LAI. LAI maps generated by empirical relationships between LAI and NDVI showed reasonable precision (standard error of LAI estimate ranged from 0.42 to 0.87 m² m-2). The mean LAI value of each monthly LAI map was shown to be related to the total precipitation in the three previous months.
publishDate 2004
dc.date.none.fl_str_mv 2004-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162004000300001
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162004000300001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-90162004000300001
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 Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola v.61 n.3 2004
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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