Assessing biophysical variable parameters of bean crop with hyperspectral measurements
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Scientia Agrícola (Online) |
Texto Completo: | https://www.revistas.usp.br/sa/article/view/22751 |
Resumo: | Recently high spectral resolution sensors have been developed, which allow new and more advanced applications in agriculture. Motivated by the increasing importance of hyperspectral remote sensing data, the need for research is important to define optimal wavebands to estimate biophysical parameters of crop. The use of narrow band vegetation indices (VI) derived from hyperspectral measurements acquired by a field spectrometer was evaluated to estimate bean (Phaseolus vulgaris L.) grain yield, plant height and leaf area index (LAI). Field canopy reflectance measurements were acquired at six bean growth stages over 48 plots with four water levels (179.5; 256.5; 357.5 and 406.2 mm) and tree nitrogen rates (0; 80 and 160 kg ha-1) and four replicates. The following VI was analyzed: OSNBR (optimum simple narrow-band reflectivity); NB_NDVI (narrow-band normalized difference vegetation index) and NDVI (normalized difference index). The vegetation indices investigated (OSNBR, NB_NDVI and NDVI) were efficient to estimate LAI, plant height and grain yield. During all crop development, the best correlations between biophysical variables and spectral variables were observed on V4 (the third trifoliolate leaves were unfolded in 50 % of plants) and R6 (plants developed first flowers in 50 % of plants) stages, according to the variable analyzed. |
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Scientia Agrícola (Online) |
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Assessing biophysical variable parameters of bean crop with hyperspectral measurements hyperspectral remote sensingspectroradiometryvegetation indices Recently high spectral resolution sensors have been developed, which allow new and more advanced applications in agriculture. Motivated by the increasing importance of hyperspectral remote sensing data, the need for research is important to define optimal wavebands to estimate biophysical parameters of crop. The use of narrow band vegetation indices (VI) derived from hyperspectral measurements acquired by a field spectrometer was evaluated to estimate bean (Phaseolus vulgaris L.) grain yield, plant height and leaf area index (LAI). Field canopy reflectance measurements were acquired at six bean growth stages over 48 plots with four water levels (179.5; 256.5; 357.5 and 406.2 mm) and tree nitrogen rates (0; 80 and 160 kg ha-1) and four replicates. The following VI was analyzed: OSNBR (optimum simple narrow-band reflectivity); NB_NDVI (narrow-band normalized difference vegetation index) and NDVI (normalized difference index). The vegetation indices investigated (OSNBR, NB_NDVI and NDVI) were efficient to estimate LAI, plant height and grain yield. During all crop development, the best correlations between biophysical variables and spectral variables were observed on V4 (the third trifoliolate leaves were unfolded in 50 % of plants) and R6 (plants developed first flowers in 50 % of plants) stages, according to the variable analyzed. Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2012-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/2275110.1590/S0103-90162012000200001Scientia Agricola; v. 69 n. 2 (2012); 87-94Scientia Agricola; Vol. 69 No. 2 (2012); 87-94Scientia Agricola; Vol. 69 Núm. 2 (2012); 87-941678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/22751/24775Copyright (c) 2015 Scientia Agricolainfo:eu-repo/semantics/openAccessMonteiro, Priscylla Ferraz CâmaraAngulo Filho, RubensXavier, Alexandre CândidoMonteiro, Rodrigo Otávio Câmara2015-07-07T19:14:45Zoai:revistas.usp.br:article/22751Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2015-07-07T19:14:45Scientia Agrícola (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Assessing biophysical variable parameters of bean crop with hyperspectral measurements |
title |
Assessing biophysical variable parameters of bean crop with hyperspectral measurements |
spellingShingle |
Assessing biophysical variable parameters of bean crop with hyperspectral measurements Monteiro, Priscylla Ferraz Câmara hyperspectral remote sensing spectroradiometry vegetation indices |
title_short |
Assessing biophysical variable parameters of bean crop with hyperspectral measurements |
title_full |
Assessing biophysical variable parameters of bean crop with hyperspectral measurements |
title_fullStr |
Assessing biophysical variable parameters of bean crop with hyperspectral measurements |
title_full_unstemmed |
Assessing biophysical variable parameters of bean crop with hyperspectral measurements |
title_sort |
Assessing biophysical variable parameters of bean crop with hyperspectral measurements |
author |
Monteiro, Priscylla Ferraz Câmara |
author_facet |
Monteiro, Priscylla Ferraz Câmara Angulo Filho, Rubens Xavier, Alexandre Cândido Monteiro, Rodrigo Otávio Câmara |
author_role |
author |
author2 |
Angulo Filho, Rubens Xavier, Alexandre Cândido Monteiro, Rodrigo Otávio Câmara |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Monteiro, Priscylla Ferraz Câmara Angulo Filho, Rubens Xavier, Alexandre Cândido Monteiro, Rodrigo Otávio Câmara |
dc.subject.por.fl_str_mv |
hyperspectral remote sensing spectroradiometry vegetation indices |
topic |
hyperspectral remote sensing spectroradiometry vegetation indices |
description |
Recently high spectral resolution sensors have been developed, which allow new and more advanced applications in agriculture. Motivated by the increasing importance of hyperspectral remote sensing data, the need for research is important to define optimal wavebands to estimate biophysical parameters of crop. The use of narrow band vegetation indices (VI) derived from hyperspectral measurements acquired by a field spectrometer was evaluated to estimate bean (Phaseolus vulgaris L.) grain yield, plant height and leaf area index (LAI). Field canopy reflectance measurements were acquired at six bean growth stages over 48 plots with four water levels (179.5; 256.5; 357.5 and 406.2 mm) and tree nitrogen rates (0; 80 and 160 kg ha-1) and four replicates. The following VI was analyzed: OSNBR (optimum simple narrow-band reflectivity); NB_NDVI (narrow-band normalized difference vegetation index) and NDVI (normalized difference index). The vegetation indices investigated (OSNBR, NB_NDVI and NDVI) were efficient to estimate LAI, plant height and grain yield. During all crop development, the best correlations between biophysical variables and spectral variables were observed on V4 (the third trifoliolate leaves were unfolded in 50 % of plants) and R6 (plants developed first flowers in 50 % of plants) stages, according to the variable analyzed. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-04-01 |
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/22751 10.1590/S0103-90162012000200001 |
url |
https://www.revistas.usp.br/sa/article/view/22751 |
identifier_str_mv |
10.1590/S0103-90162012000200001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/sa/article/view/22751/24775 |
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. 69 n. 2 (2012); 87-94 Scientia Agricola; Vol. 69 No. 2 (2012); 87-94 Scientia Agricola; Vol. 69 Núm. 2 (2012); 87-94 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_ |
1787713259212636160 |