Caracterização radiométrica e variabilidade espaço temporal do algodoeiro em agroecossistema de Mato Grosso
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/40862 |
Resumo: | The cotton crop has important phenological variations that influence the spectral behavior and can help in the dynamic management process. The objective of this work was to evaluate the applications of the multispectral bands of the Landsat5TM sensor, and the spectemporal characterization of the phenology of the cotton crop on the cultivar 966 Bayer Fiber Max®. Vegetation index (IV) were calculated to aid in the discrimination of cotton phenology. The temporal monitoring revealed that the best IV for temporal characterization was EVI (0,939-May / 09-0,704 August / 09), which presented results consistent with the phenological phases of the culture. The Tasseled Cap (Wetness, Greenness and Brightness) transformations were associated to physical parameters of the study area and correlated statistically with the data of the proposed IV, NDWI, NDVI and SAVI indexes with higher values of Wetness components (r = 0.869 , p (r = 0.869 , p <0.05), Greenness (r = 0.878, p <0.05), Brightness (r = 0.761, p <0.05), respectively. By thermal band (B6), the surface temperature was estimated, validated by data from virtual laboratories and by INMET meteorological station. Thus, it was possible to identify and correlate the changes in the spectral reflectance of the cotton in space and time, making possible to interpret the vegetative stages of the culture remotely. |
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Caracterização radiométrica e variabilidade espaço temporal do algodoeiro em agroecossistema de Mato GrossoRadiometric characterization and variability space-temporal of cotton plant in agroecossystem of Mato GrossoSensoriamento remotoÍndice de vegetaçãoAlgodoeiroTasseled Cap.Remote sensingVegetation indexThe cotton crop has important phenological variations that influence the spectral behavior and can help in the dynamic management process. The objective of this work was to evaluate the applications of the multispectral bands of the Landsat5TM sensor, and the spectemporal characterization of the phenology of the cotton crop on the cultivar 966 Bayer Fiber Max®. Vegetation index (IV) were calculated to aid in the discrimination of cotton phenology. The temporal monitoring revealed that the best IV for temporal characterization was EVI (0,939-May / 09-0,704 August / 09), which presented results consistent with the phenological phases of the culture. The Tasseled Cap (Wetness, Greenness and Brightness) transformations were associated to physical parameters of the study area and correlated statistically with the data of the proposed IV, NDWI, NDVI and SAVI indexes with higher values of Wetness components (r = 0.869 , p (r = 0.869 , p <0.05), Greenness (r = 0.878, p <0.05), Brightness (r = 0.761, p <0.05), respectively. By thermal band (B6), the surface temperature was estimated, validated by data from virtual laboratories and by INMET meteorological station. Thus, it was possible to identify and correlate the changes in the spectral reflectance of the cotton in space and time, making possible to interpret the vegetative stages of the culture remotely.A cultura do algodoeiro possui variações fenológicas importantes que influenciam no comportamento espectral e que podem auxiliar no dinâmico processo de manejo. O objetivo deste trabalho foi avaliar as aplicações das bandas multiespectrais do sensor Landsat-5TM, e a caracterização espectrotemporal da fenologia da cultura do algodoeiro sobre o cultivar 966 Bayer Fiber Max®. Foram calculados os índices de vegetação (IV) para auxiliar na descriminação da fenologia do algodoeiro. O monitoramento temporal revelou que o melhor IV para caracterização temporal foi EVI (0,939-maio/09-0,704 agosto/09) que apresentou resultados condizentes com as fases fenológicas da cultura. As transformações Tasseled Cap (Wetness, Greenness e Brightness) foram associados a parâmetros físicos da área de estudo e correlacionadas estatisticamente com os dados dos IV propostos, os índices NDWI, NDVI e SAVI com maiores valores de correlações com os componentes Wetness (r=0,869;p<0,05), Greenness (r=0,878;p<0,05), Brightness (r=0,761;p<0,05), respectivamente. Pela banda termal (B6) foi estimado a temperatura de superfície, validada por dados de laboratórios virtuais e pela estação meteorológica do INMET. Assim, foi possível identificar e relacionar as alterações na reflectância espectral do algodoeiro no espaço e no tempo, possibilitando interpretar os estágios vegetativos da cultura remotamente.Universidade Federal de Pernambuco2020-05-12T18:33:49Z2020-05-12T18:33:49Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSOARES, J. F.; ALVES, M. de C. Caracterização radiométrica e variabilidade espaço temporal do algodoeiro em agroecossistema de Mato Grosso. Journal of Hyperspectral Remote Sensing, Recife, v. 9, n. 4, p. 240-253, 2019.http://repositorio.ufla.br/jspui/handle/1/40862Journal of Hyperspectral Remote Sensingreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessSoares, Jefferson FranciscoAlves, Marcelo de Carvalhopor2023-05-03T11:13:30Zoai:localhost:1/40862Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-03T11:13:30Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Caracterização radiométrica e variabilidade espaço temporal do algodoeiro em agroecossistema de Mato Grosso Radiometric characterization and variability space-temporal of cotton plant in agroecossystem of Mato Grosso |
title |
Caracterização radiométrica e variabilidade espaço temporal do algodoeiro em agroecossistema de Mato Grosso |
spellingShingle |
Caracterização radiométrica e variabilidade espaço temporal do algodoeiro em agroecossistema de Mato Grosso Soares, Jefferson Francisco Sensoriamento remoto Índice de vegetação Algodoeiro Tasseled Cap. Remote sensing Vegetation index |
title_short |
Caracterização radiométrica e variabilidade espaço temporal do algodoeiro em agroecossistema de Mato Grosso |
title_full |
Caracterização radiométrica e variabilidade espaço temporal do algodoeiro em agroecossistema de Mato Grosso |
title_fullStr |
Caracterização radiométrica e variabilidade espaço temporal do algodoeiro em agroecossistema de Mato Grosso |
title_full_unstemmed |
Caracterização radiométrica e variabilidade espaço temporal do algodoeiro em agroecossistema de Mato Grosso |
title_sort |
Caracterização radiométrica e variabilidade espaço temporal do algodoeiro em agroecossistema de Mato Grosso |
author |
Soares, Jefferson Francisco |
author_facet |
Soares, Jefferson Francisco Alves, Marcelo de Carvalho |
author_role |
author |
author2 |
Alves, Marcelo de Carvalho |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Soares, Jefferson Francisco Alves, Marcelo de Carvalho |
dc.subject.por.fl_str_mv |
Sensoriamento remoto Índice de vegetação Algodoeiro Tasseled Cap. Remote sensing Vegetation index |
topic |
Sensoriamento remoto Índice de vegetação Algodoeiro Tasseled Cap. Remote sensing Vegetation index |
description |
The cotton crop has important phenological variations that influence the spectral behavior and can help in the dynamic management process. The objective of this work was to evaluate the applications of the multispectral bands of the Landsat5TM sensor, and the spectemporal characterization of the phenology of the cotton crop on the cultivar 966 Bayer Fiber Max®. Vegetation index (IV) were calculated to aid in the discrimination of cotton phenology. The temporal monitoring revealed that the best IV for temporal characterization was EVI (0,939-May / 09-0,704 August / 09), which presented results consistent with the phenological phases of the culture. The Tasseled Cap (Wetness, Greenness and Brightness) transformations were associated to physical parameters of the study area and correlated statistically with the data of the proposed IV, NDWI, NDVI and SAVI indexes with higher values of Wetness components (r = 0.869 , p (r = 0.869 , p <0.05), Greenness (r = 0.878, p <0.05), Brightness (r = 0.761, p <0.05), respectively. By thermal band (B6), the surface temperature was estimated, validated by data from virtual laboratories and by INMET meteorological station. Thus, it was possible to identify and correlate the changes in the spectral reflectance of the cotton in space and time, making possible to interpret the vegetative stages of the culture remotely. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 2020-05-12T18:33:49Z 2020-05-12T18:33:49Z |
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 |
SOARES, J. F.; ALVES, M. de C. Caracterização radiométrica e variabilidade espaço temporal do algodoeiro em agroecossistema de Mato Grosso. Journal of Hyperspectral Remote Sensing, Recife, v. 9, n. 4, p. 240-253, 2019. http://repositorio.ufla.br/jspui/handle/1/40862 |
identifier_str_mv |
SOARES, J. F.; ALVES, M. de C. Caracterização radiométrica e variabilidade espaço temporal do algodoeiro em agroecossistema de Mato Grosso. Journal of Hyperspectral Remote Sensing, Recife, v. 9, n. 4, p. 240-253, 2019. |
url |
http://repositorio.ufla.br/jspui/handle/1/40862 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Pernambuco |
publisher.none.fl_str_mv |
Universidade Federal de Pernambuco |
dc.source.none.fl_str_mv |
Journal of Hyperspectral Remote Sensing reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
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1815439306637967360 |