Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera

Detalhes bibliográficos
Autor(a) principal: Beniaich, Adnane
Data de Publicação: 2019
Outros Autores: Silva, Marx Leandro Naves, Avalos, Fábio Arnaldo Pomar, Menezes, Michele Duarte de, Cândido, Bernardo Moreira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/40749
Resumo: The permanent monitoring of vegetation cover is important to guarantee a sustainable management of agricultural activities, with a relevant role in the reduction of water erosion. This monitoring can be carried out through different indicators such as vegetation cover indices. In this study, the vegetation cover index was obtained using uncalibrated RGB images generated from a digital photographic camera on an unmanned aerial vehicle (UAV). In addition, a comparative study with 11 vegetation indices was carried out. The vegetation indices CIVE and EXG presented a better performance and the index WI presented the worst performance in the vegetation classification during the cycles of jack bean and millet, according to the overall accuracy and Kappa coefficient. Vegetation indices were effective tools in obtaining soil cover index when compared to the standard Stocking method, except for the index WI. Architecture and cycle of millet and jack bean influenced the behavior of the studied vegetation indices. Vegetation indices generated from RGB images obtained by UAV were more practical and efficient, allowing a more frequent monitoring and in a wider area during the crop cycle.
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spelling Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic cameraDeterminação do índice de cobertura vegetal em sistemas de manejo do solo com plantas de cobertura, utilizando veículo aéreo não tripulado com câmera fotográfica digital embarcadaVegetation cover indexVegetation indexUnmanned aerial vehicleÍndice de cobertura vegetalÍndice de vegetaçãoVeículo aéreo não tripuladoThe permanent monitoring of vegetation cover is important to guarantee a sustainable management of agricultural activities, with a relevant role in the reduction of water erosion. This monitoring can be carried out through different indicators such as vegetation cover indices. In this study, the vegetation cover index was obtained using uncalibrated RGB images generated from a digital photographic camera on an unmanned aerial vehicle (UAV). In addition, a comparative study with 11 vegetation indices was carried out. The vegetation indices CIVE and EXG presented a better performance and the index WI presented the worst performance in the vegetation classification during the cycles of jack bean and millet, according to the overall accuracy and Kappa coefficient. Vegetation indices were effective tools in obtaining soil cover index when compared to the standard Stocking method, except for the index WI. Architecture and cycle of millet and jack bean influenced the behavior of the studied vegetation indices. Vegetation indices generated from RGB images obtained by UAV were more practical and efficient, allowing a more frequent monitoring and in a wider area during the crop cycle.O monitoramento permanente da cobertura vegetal é importante para garantir o manejo sustentável das atividades agrícolas, com relevante papel na redução da erosão hídrica. Este monitoramento pode ser realizado por meio de diferentes indicadores, como os índices de cobertura vegetal. Nesse artigo o índice de cobertura de vegetação foi obtido usando imagens RGB não-calibradas, geradas a partir de câmera fotográfica digital embarcada em um veículo aéreo não tripulado (VANT). Além disso, foi feito um estudo comparativo de 11 índices de vegetação. Os índices de vegetação CIVE e EXG apresentaram melhor desempenho e o índice WI apresentou o pior desempenho na classificação da vegetação durante o ciclo das culturas de feijão-de-porco e milheto, conforme a acurácia global e o coeficiente Kappa. Os índices de vegetação se apresentaram como uma ferramenta eficaz na obtenção dos índices de cobertura de solo, quando comparados ao método padrão de Stocking, exceto para o índice WI. A arquitetura e o ciclo das culturas milheto e o feijão-de-porco influenciaram no comportamento dos índices de vegetação estudados. Os índices de vegetação gerados à partir de imagens RGB obtidas por VANT mostraram ser mais práticos e eficientes, permitindo o monitoramento com maior frequência e abrangência de área durante o ciclo das culturas.Universidade Estadual de Londrina2020-05-08T23:49:35Z2020-05-08T23:49:35Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfBENIAICH, A. et al. Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera. Semina: Ciências Agrárias, Londrina, v. 40, n. 1, 2019.http://repositorio.ufla.br/jspui/handle/1/40749Semina: Ciências Agráriasreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessBeniaich, AdnaneSilva, Marx Leandro NavesAvalos, Fábio Arnaldo PomarMenezes, Michele Duarte deCândido, Bernardo Moreiraeng2020-05-08T23:50:30Zoai:localhost:1/40749Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-05-08T23:50:30Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera
Determinação do índice de cobertura vegetal em sistemas de manejo do solo com plantas de cobertura, utilizando veículo aéreo não tripulado com câmera fotográfica digital embarcada
title Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera
spellingShingle Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera
Beniaich, Adnane
Vegetation cover index
Vegetation index
Unmanned aerial vehicle
Índice de cobertura vegetal
Índice de vegetação
Veículo aéreo não tripulado
title_short Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera
title_full Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera
title_fullStr Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera
title_full_unstemmed Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera
title_sort Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera
author Beniaich, Adnane
author_facet Beniaich, Adnane
Silva, Marx Leandro Naves
Avalos, Fábio Arnaldo Pomar
Menezes, Michele Duarte de
Cândido, Bernardo Moreira
author_role author
author2 Silva, Marx Leandro Naves
Avalos, Fábio Arnaldo Pomar
Menezes, Michele Duarte de
Cândido, Bernardo Moreira
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Beniaich, Adnane
Silva, Marx Leandro Naves
Avalos, Fábio Arnaldo Pomar
Menezes, Michele Duarte de
Cândido, Bernardo Moreira
dc.subject.por.fl_str_mv Vegetation cover index
Vegetation index
Unmanned aerial vehicle
Índice de cobertura vegetal
Índice de vegetação
Veículo aéreo não tripulado
topic Vegetation cover index
Vegetation index
Unmanned aerial vehicle
Índice de cobertura vegetal
Índice de vegetação
Veículo aéreo não tripulado
description The permanent monitoring of vegetation cover is important to guarantee a sustainable management of agricultural activities, with a relevant role in the reduction of water erosion. This monitoring can be carried out through different indicators such as vegetation cover indices. In this study, the vegetation cover index was obtained using uncalibrated RGB images generated from a digital photographic camera on an unmanned aerial vehicle (UAV). In addition, a comparative study with 11 vegetation indices was carried out. The vegetation indices CIVE and EXG presented a better performance and the index WI presented the worst performance in the vegetation classification during the cycles of jack bean and millet, according to the overall accuracy and Kappa coefficient. Vegetation indices were effective tools in obtaining soil cover index when compared to the standard Stocking method, except for the index WI. Architecture and cycle of millet and jack bean influenced the behavior of the studied vegetation indices. Vegetation indices generated from RGB images obtained by UAV were more practical and efficient, allowing a more frequent monitoring and in a wider area during the crop cycle.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020-05-08T23:49:35Z
2020-05-08T23:49:35Z
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 BENIAICH, A. et al. Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera. Semina: Ciências Agrárias, Londrina, v. 40, n. 1, 2019.
http://repositorio.ufla.br/jspui/handle/1/40749
identifier_str_mv BENIAICH, A. et al. Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera. Semina: Ciências Agrárias, Londrina, v. 40, n. 1, 2019.
url http://repositorio.ufla.br/jspui/handle/1/40749
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution-NonCommercial 4.0 International
http://creativecommons.org/licenses/by-nc/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial 4.0 International
http://creativecommons.org/licenses/by-nc/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Londrina
publisher.none.fl_str_mv Universidade Estadual de Londrina
dc.source.none.fl_str_mv Semina: Ciências Agrárias
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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