Uso de veículo aéreo não tripulado na determinação de Índice de vegetação em área de pastagem em Nova Mutum-MT
Ano de defesa: | 2016 |
---|---|
Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | , , |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal de Goiás
|
Programa de Pós-Graduação: |
Programa de Pós-graduação em Geografia (IESA)
|
Departamento: |
Instituto de Estudos Socioambientais - IESA (RG)
|
País: |
Brasil
|
Palavras-chave em Português: | |
Palavras-chave em Inglês: | |
Área do conhecimento CNPq: | |
Link de acesso: | http://repositorio.bc.ufg.br/tede/handle/tede/5956 |
Resumo: | This study aimed to evaluate the performance of an Unmanned Aerial Vehicle (UAV) used to analysis of cultivated pasture areas. This evaluation was based on the comparison between the products of Vegetation Index calculated by orthomosaics from photos acquired by a UAV and the Percentage of Green collected in the ground level. The UAV Vegetation Index was the Modified Photochemical Reflectance Index (MPRI). It was held also a comparison between the Vegetation Indexes obtained with the UAV and an orbital platform being these the MPRI and the Normalized Difference Vegetation Index (NDVI) respectively. The data were collected monthly between July and December 2014. For comparison between the Percentage of Green and the MPRI was used 25 samples distributed along of transect established in ground level into the pasture area. For comparison between MPRI and NDVI other 15 samples were distributed along of the pasture area. The Percentage of Green relied on vertical photos acquired in the ground level. The MPRI resulted from aerial surveys done by UAV’s model “TIRIBA” that used the Canon PowerShot S100 camera coupled. The orthomosaics from aerial photos acquired on aerial surveys were generated in the Agisoft PhotoScan to calculate the MPRI after. The NDVI was calculated from surface reflectance images acquired by Landsat-8 satellite. Has been observed that Percentage of Green and MPRI are correlated and the same to be observed for MPRI and NDVI. There is also relationship in behavior of these products over time so was possible to conclude that both products could provide the necessary information for the characterization of the development of pasture between July and December 2014. Both products – Percentage of Green, MPRI and NDVI – feature advantages and limitations: the Percentage of Green is most sensitive for the changes into the pasture because of their detail high level (spatial resolution) but doesn’t have the income that the MPRI/UAV has and not provide the analysis of the whole area being necessary use to sampling; the MPRI/UAV has a higher sensitivity to record of the behavior of pasture when compared to NDVI/Landsat-8 bus the gain in the area imaged by orbital platform should not be disregarded. The correlation between Percentage of Green and MPRI and between MPRI and NDVI also suggests that these products can be used in conjunction to perform the monitoring of pasture areas. |
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Ferreira Júnior, Laerte Guimarãeshttp://lattes.cnpq.br/8647270006257055Ferreira, Manuel Eduardohttp://lattes.cnpq.br/4498594723433539Ferreira Júnior, Laerte GuimarãesGriebeler, Nori PauloCôrtes, João Batista Ramoshttp://lattes.cnpq.br/0267370996674893Linhares, Mayklyns Marcos de Almeida2016-08-18T12:45:05Z2016-07-15LINHARES, Mayklyns Marcos de Almeida. Uso de veículo aéreo não tripulado na determinação de índice de vegetação em área de pastagem em Nova Mutum-MT. 2016. 121 f. Dissertação (Mestrado em Geografia) - Universidade Federal de Goiás, Goiânia, 2016.http://repositorio.bc.ufg.br/tede/handle/tede/5956This study aimed to evaluate the performance of an Unmanned Aerial Vehicle (UAV) used to analysis of cultivated pasture areas. This evaluation was based on the comparison between the products of Vegetation Index calculated by orthomosaics from photos acquired by a UAV and the Percentage of Green collected in the ground level. The UAV Vegetation Index was the Modified Photochemical Reflectance Index (MPRI). It was held also a comparison between the Vegetation Indexes obtained with the UAV and an orbital platform being these the MPRI and the Normalized Difference Vegetation Index (NDVI) respectively. The data were collected monthly between July and December 2014. For comparison between the Percentage of Green and the MPRI was used 25 samples distributed along of transect established in ground level into the pasture area. For comparison between MPRI and NDVI other 15 samples were distributed along of the pasture area. The Percentage of Green relied on vertical photos acquired in the ground level. The MPRI resulted from aerial surveys done by UAV’s model “TIRIBA” that used the Canon PowerShot S100 camera coupled. The orthomosaics from aerial photos acquired on aerial surveys were generated in the Agisoft PhotoScan to calculate the MPRI after. The NDVI was calculated from surface reflectance images acquired by Landsat-8 satellite. Has been observed that Percentage of Green and MPRI are correlated and the same to be observed for MPRI and NDVI. There is also relationship in behavior of these products over time so was possible to conclude that both products could provide the necessary information for the characterization of the development of pasture between July and December 2014. Both products – Percentage of Green, MPRI and NDVI – feature advantages and limitations: the Percentage of Green is most sensitive for the changes into the pasture because of their detail high level (spatial resolution) but doesn’t have the income that the MPRI/UAV has and not provide the analysis of the whole area being necessary use to sampling; the MPRI/UAV has a higher sensitivity to record of the behavior of pasture when compared to NDVI/Landsat-8 bus the gain in the area imaged by orbital platform should not be disregarded. The correlation between Percentage of Green and MPRI and between MPRI and NDVI also suggests that these products can be used in conjunction to perform the monitoring of pasture areas.Esta pesquisa teve por objetivo avaliar o desempenho de um Veículo Aéreo Não Tripulado (VANT) quando destinado à análise de áreas com pastagem cultivada. Tal avaliação teve por base a comparação entre o produto de Índice de Vegetação, calculado por intermédio de ortomosaicos de fotografias adquiridas por um VANT, e o parâmetro de Percentual de Verde coletado em solo. O Índice de Vegetação calculado com os dados do VANT foi o Modified Photochemical Reflectance Index (MPRI). Foi realizada também uma comparação entre os Índices de Vegetação obtidos com o VANT e por plataforma orbital, sendo esses índices o MPRI e o Normalized Difference Vegetation Index (NDVI), respectivamente. A coleta de dados foi realizada mensalmente entre julho e dezembro de 2014. Para a comparação entre o Percentual de Verde e o MPRI foram utilizadas 25 amostras distribuídas ao longo de um transecto estabelecido em solo. Para a comparação entre o MPRI e o NDVI foram utilizadas outras 15 amostras, distribuídas ao longo da área da pastagem. O Percentual de Verde se baseou em fotografias verticais obtidas em nível de solo. Já o MPRI resultou de aerolevantamentos com um VANT modelo TIRIBA, embarcado com uma câmera Canon PowerShot S100. Os ortomosaicos que serviram de base para o cálculo do MPRI foram gerados no programa Agisoft PhotoScan. O NDVI foi calculado com base em imagens de reflectância da superfície adquiridas pelo satélite Landsat-8. Como resultados observou-se que há correlação entre o Percentual de Verde e o MPRI, bem como entre o MPRI e o NDVI. Há também relação no comportamento desses produtos ao longo do tempo, de forma que foi possível concluir que ambos poderiam subsidiar as informações necessárias para a caracterização do desenvolvimento da pastagem em questão entre julho e dezembro de 2014. Concluiu-se ainda que ambos os produtos apresentam vantagens e limitações: o Percentual de Verde, em virtude de seu detalhamento (resolução espacial), é o mais sensível as alterações na pastagem, mas não tem o rendimento que o MPRI/VANT agrega por viabilizar a análise da área no todo, o que dispensa amostragem; o MPRI/VANT tem maior sensibilidade se comparado ao NDVI/Landsat-8 no registro do comportamento da pastagem, mas o ganho em área imageada pelo satélite não deve ser desconsiderado. A correlação entre o Percentual de Verde e o MPRI e entre o MPRI e o NDVI sugere também que esses produtos possam ser utilizados em conjunto no monitoramento de áreas de pastagens.Submitted by Erika Demachki (erikademachki@gmail.com) on 2016-08-17T20:54:27Z No. of bitstreams: 2 Dissertação - Mayklyns Marcos de Almeida Linhares - 2016.pdf: 5918802 bytes, checksum: cc18441a8f9fd258681505cc840eb5cf (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2016-08-18T12:45:05Z (GMT) No. of bitstreams: 2 Dissertação - Mayklyns Marcos de Almeida Linhares - 2016.pdf: 5918802 bytes, checksum: cc18441a8f9fd258681505cc840eb5cf (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Made available in DSpace on 2016-08-18T12:45:05Z (GMT). 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dc.title.por.fl_str_mv |
Uso de veículo aéreo não tripulado na determinação de Índice de vegetação em área de pastagem em Nova Mutum-MT |
dc.title.alternative.eng.fl_str_mv |
Unmanned aerial vehicle use to determining vegetation index in pasture area in Nova Mutum-MT |
title |
Uso de veículo aéreo não tripulado na determinação de Índice de vegetação em área de pastagem em Nova Mutum-MT |
spellingShingle |
Uso de veículo aéreo não tripulado na determinação de Índice de vegetação em área de pastagem em Nova Mutum-MT Linhares, Mayklyns Marcos de Almeida Monitoramento ambiental Aerolevantamentos Sensoriamento remoto Câmera de pequeno formato Índice de vegetação MPRI Environmental monitoring Aerial surveys Remote sensing Small format camera Vegetation index CIENCIAS HUMANAS::GEOGRAFIA |
title_short |
Uso de veículo aéreo não tripulado na determinação de Índice de vegetação em área de pastagem em Nova Mutum-MT |
title_full |
Uso de veículo aéreo não tripulado na determinação de Índice de vegetação em área de pastagem em Nova Mutum-MT |
title_fullStr |
Uso de veículo aéreo não tripulado na determinação de Índice de vegetação em área de pastagem em Nova Mutum-MT |
title_full_unstemmed |
Uso de veículo aéreo não tripulado na determinação de Índice de vegetação em área de pastagem em Nova Mutum-MT |
title_sort |
Uso de veículo aéreo não tripulado na determinação de Índice de vegetação em área de pastagem em Nova Mutum-MT |
author |
Linhares, Mayklyns Marcos de Almeida |
author_facet |
Linhares, Mayklyns Marcos de Almeida |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Ferreira Júnior, Laerte Guimarães |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/8647270006257055 |
dc.contributor.advisor-co1.fl_str_mv |
Ferreira, Manuel Eduardo |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/4498594723433539 |
dc.contributor.referee1.fl_str_mv |
Ferreira Júnior, Laerte Guimarães |
dc.contributor.referee2.fl_str_mv |
Griebeler, Nori Paulo |
dc.contributor.referee3.fl_str_mv |
Côrtes, João Batista Ramos |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/0267370996674893 |
dc.contributor.author.fl_str_mv |
Linhares, Mayklyns Marcos de Almeida |
contributor_str_mv |
Ferreira Júnior, Laerte Guimarães Ferreira, Manuel Eduardo Ferreira Júnior, Laerte Guimarães Griebeler, Nori Paulo Côrtes, João Batista Ramos |
dc.subject.por.fl_str_mv |
Monitoramento ambiental Aerolevantamentos Sensoriamento remoto Câmera de pequeno formato Índice de vegetação MPRI |
topic |
Monitoramento ambiental Aerolevantamentos Sensoriamento remoto Câmera de pequeno formato Índice de vegetação MPRI Environmental monitoring Aerial surveys Remote sensing Small format camera Vegetation index CIENCIAS HUMANAS::GEOGRAFIA |
dc.subject.eng.fl_str_mv |
Environmental monitoring Aerial surveys Remote sensing Small format camera Vegetation index |
dc.subject.cnpq.fl_str_mv |
CIENCIAS HUMANAS::GEOGRAFIA |
description |
This study aimed to evaluate the performance of an Unmanned Aerial Vehicle (UAV) used to analysis of cultivated pasture areas. This evaluation was based on the comparison between the products of Vegetation Index calculated by orthomosaics from photos acquired by a UAV and the Percentage of Green collected in the ground level. The UAV Vegetation Index was the Modified Photochemical Reflectance Index (MPRI). It was held also a comparison between the Vegetation Indexes obtained with the UAV and an orbital platform being these the MPRI and the Normalized Difference Vegetation Index (NDVI) respectively. The data were collected monthly between July and December 2014. For comparison between the Percentage of Green and the MPRI was used 25 samples distributed along of transect established in ground level into the pasture area. For comparison between MPRI and NDVI other 15 samples were distributed along of the pasture area. The Percentage of Green relied on vertical photos acquired in the ground level. The MPRI resulted from aerial surveys done by UAV’s model “TIRIBA” that used the Canon PowerShot S100 camera coupled. The orthomosaics from aerial photos acquired on aerial surveys were generated in the Agisoft PhotoScan to calculate the MPRI after. The NDVI was calculated from surface reflectance images acquired by Landsat-8 satellite. Has been observed that Percentage of Green and MPRI are correlated and the same to be observed for MPRI and NDVI. There is also relationship in behavior of these products over time so was possible to conclude that both products could provide the necessary information for the characterization of the development of pasture between July and December 2014. Both products – Percentage of Green, MPRI and NDVI – feature advantages and limitations: the Percentage of Green is most sensitive for the changes into the pasture because of their detail high level (spatial resolution) but doesn’t have the income that the MPRI/UAV has and not provide the analysis of the whole area being necessary use to sampling; the MPRI/UAV has a higher sensitivity to record of the behavior of pasture when compared to NDVI/Landsat-8 bus the gain in the area imaged by orbital platform should not be disregarded. The correlation between Percentage of Green and MPRI and between MPRI and NDVI also suggests that these products can be used in conjunction to perform the monitoring of pasture areas. |
publishDate |
2016 |
dc.date.accessioned.fl_str_mv |
2016-08-18T12:45:05Z |
dc.date.issued.fl_str_mv |
2016-07-15 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
LINHARES, Mayklyns Marcos de Almeida. Uso de veículo aéreo não tripulado na determinação de índice de vegetação em área de pastagem em Nova Mutum-MT. 2016. 121 f. Dissertação (Mestrado em Geografia) - Universidade Federal de Goiás, Goiânia, 2016. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/5956 |
identifier_str_mv |
LINHARES, Mayklyns Marcos de Almeida. Uso de veículo aéreo não tripulado na determinação de índice de vegetação em área de pastagem em Nova Mutum-MT. 2016. 121 f. Dissertação (Mestrado em Geografia) - Universidade Federal de Goiás, Goiânia, 2016. |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/5956 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.program.fl_str_mv |
7888271059505704147 |
dc.relation.confidence.fl_str_mv |
600 600 600 |
dc.relation.department.fl_str_mv |
4536785967207850203 |
dc.relation.cnpq.fl_str_mv |
-599424733620574926 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.publisher.program.fl_str_mv |
Programa de Pós-graduação em Geografia (IESA) |
dc.publisher.initials.fl_str_mv |
UFG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
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Universidade Federal de Goiás |
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