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

Bibliographic Details
Main Author: Xavier, Alexandre Cândido
Publication Date: 2004
Other Authors: Vettorazzi, Carlos Alberto
Format: Article
Language: eng
Source: Scientia Agrícola (Online)
Download full: https://www.revistas.usp.br/sa/article/view/21980
Summary: 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+ data Monitoramento do índice de área foliar em nível de bacia hidrográfica por meio do NDVI derivado de imagens Landsat-7/ETM+ variável biofísicasensoriamento remotoíndices espectrais de vegetaçãobiophysical variableremote sensingspectral vegetation indices 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. O Índice de Área Foliar (IAF) é um importante parâmetro do dossel da vegetação, sendo utilizado, por exemplo, para estimar a evapotranspiração, um importante componente do ciclo hidrológico. Analisou-se a relação entre o IAF, medido em campo, e o índice de vegetação NDVI, de quatro datas (a partir de dados Landsat-7/ETM+) e, com este índice, foram gerados e analisados mapas de IAF da área de estudo para as diferentes datas. O IAF foi coletado mensalmente em campo, com o equipamento LAI-2000, em áreas de cana-de-açúcar, pastagem, milho, eucalipto e floresta ripária. A relação entre o IAF e o NDVI foi melhor ajustada por um modelo potencial, sendo que de 57% a 72% da variação do NDVI puderam ser explicados pelo IAF. Os mapas de IAF gerados por modelos empíricos da relação entre o IAF e NDVI mostraram razoável precisão (o erro padrão da estimativa de IAF variou de 0,42 a 0,87 m²m-2). O valor médio de IAF para cada mapa mensal mostrou-se relacionado com a precipitação total dos três meses anteriores. Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2004-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/2198010.1590/S0103-90162004000300001Scientia Agricola; v. 61 n. 3 (2004); 243-252Scientia Agricola; Vol. 61 No. 3 (2004); 243-252Scientia Agricola; Vol. 61 Núm. 3 (2004); 243-2521678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/21980/24004Copyright (c) 2015 Scientia Agricolainfo:eu-repo/semantics/openAccessXavier, Alexandre CândidoVettorazzi, Carlos Alberto2015-07-07T16:45:47Zoai:revistas.usp.br:article/21980Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2015-07-07T16:45:47Scientia 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
Monitoramento do índice de área foliar em nível de bacia hidrográfica por meio do NDVI derivado de imagens Landsat-7/ETM+
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
variável biofísica
sensoriamento remoto
índices espectrais de vegetação
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 variável biofísica
sensoriamento remoto
índices espectrais de vegetação
biophysical variable
remote sensing
spectral vegetation indices
topic variável biofísica
sensoriamento remoto
índices espectrais de vegetação
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
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/sa/article/view/21980
10.1590/S0103-90162004000300001
url https://www.revistas.usp.br/sa/article/view/21980
identifier_str_mv 10.1590/S0103-90162004000300001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/21980/24004
dc.rights.driver.fl_str_mv Copyright (c) 2015 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2015 Scientia Agricola
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 61 n. 3 (2004); 243-252
Scientia Agricola; Vol. 61 No. 3 (2004); 243-252
Scientia Agricola; Vol. 61 Núm. 3 (2004); 243-252
1678-992X
0103-9016
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
_version_ 1787713254494044160

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