Environmental monitoring and hydrological simulations of a natural wetland based on high-resolution unmanned aerial vehicle data (Paulista Peripheral Depression, Brazil)
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.envc.2021.100146 http://hdl.handle.net/11449/222954 |
Resumo: | The main biofuel produced in Brazil is ethanol representing 16% of energy production in the national energy matrix, that is why sugarcane is one of the most important crops for Brazilian agriculture. The land conversion associated with the advancement of agriculture is often carried out inappropriately advancing over areas of high environmental sensitivity, such as natural small wetlands. The level of detail required to monitor subtle changes in their dynamics and landscape makes very high-resolution images (+ 10 cm/pixel resolution) acquired by unmanned aerial vehicles (UAVs) an excellent data. The objective of this research was to use UAV orthomosaics and digital elevation models to carry out seasonal monitoring, simulate the water flow in the areas of hydric-contribution and inland flooding, and validate the flooding simulations. The studied wetland located in the State of São Paulo (Paulista Peripheral Depression), showed a seasonal surface water storage capacity (28,067 m³) and a loss of approximately 12.27% of its total area between October 2019 and February 2020. The flooding simulations were validated with data observed by the imagery (variation of ± 3.27%.), being possible to be reapplied in several small ecosystems. |
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Environmental monitoring and hydrological simulations of a natural wetland based on high-resolution unmanned aerial vehicle data (Paulista Peripheral Depression, Brazil)Digital photogrammetryDroneMulti-temporalSugarcaneUnmanned aerial vehicleWetland monitoringThe main biofuel produced in Brazil is ethanol representing 16% of energy production in the national energy matrix, that is why sugarcane is one of the most important crops for Brazilian agriculture. The land conversion associated with the advancement of agriculture is often carried out inappropriately advancing over areas of high environmental sensitivity, such as natural small wetlands. The level of detail required to monitor subtle changes in their dynamics and landscape makes very high-resolution images (+ 10 cm/pixel resolution) acquired by unmanned aerial vehicles (UAVs) an excellent data. The objective of this research was to use UAV orthomosaics and digital elevation models to carry out seasonal monitoring, simulate the water flow in the areas of hydric-contribution and inland flooding, and validate the flooding simulations. The studied wetland located in the State of São Paulo (Paulista Peripheral Depression), showed a seasonal surface water storage capacity (28,067 m³) and a loss of approximately 12.27% of its total area between October 2019 and February 2020. The flooding simulations were validated with data observed by the imagery (variation of ± 3.27%.), being possible to be reapplied in several small ecosystems.São Paulo State University (Universidade Estadual Paulista) Department of Geology, Av. 24A, 1515, CEP: 13506-900São Paulo State University (Universidade Estadual Paulista) Department of Geology, Av. 24A, 1515, CEP: 13506-900Universidade Estadual Paulista (UNESP)Moreira Furlan, Lucas [UNESP]Moreira, César Augusto [UNESP]de Alencar, Paulo Guilherme [UNESP]Rosolen, Vânia [UNESP]2022-04-28T19:47:45Z2022-04-28T19:47:45Z2021-08-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.envc.2021.100146Environmental Challenges, v. 4.2667-0100http://hdl.handle.net/11449/22295410.1016/j.envc.2021.1001462-s2.0-85120323748Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEnvironmental Challengesinfo:eu-repo/semantics/openAccess2022-04-28T19:47:45Zoai:repositorio.unesp.br:11449/222954Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:47:45Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Environmental monitoring and hydrological simulations of a natural wetland based on high-resolution unmanned aerial vehicle data (Paulista Peripheral Depression, Brazil) |
title |
Environmental monitoring and hydrological simulations of a natural wetland based on high-resolution unmanned aerial vehicle data (Paulista Peripheral Depression, Brazil) |
spellingShingle |
Environmental monitoring and hydrological simulations of a natural wetland based on high-resolution unmanned aerial vehicle data (Paulista Peripheral Depression, Brazil) Moreira Furlan, Lucas [UNESP] Digital photogrammetry Drone Multi-temporal Sugarcane Unmanned aerial vehicle Wetland monitoring |
title_short |
Environmental monitoring and hydrological simulations of a natural wetland based on high-resolution unmanned aerial vehicle data (Paulista Peripheral Depression, Brazil) |
title_full |
Environmental monitoring and hydrological simulations of a natural wetland based on high-resolution unmanned aerial vehicle data (Paulista Peripheral Depression, Brazil) |
title_fullStr |
Environmental monitoring and hydrological simulations of a natural wetland based on high-resolution unmanned aerial vehicle data (Paulista Peripheral Depression, Brazil) |
title_full_unstemmed |
Environmental monitoring and hydrological simulations of a natural wetland based on high-resolution unmanned aerial vehicle data (Paulista Peripheral Depression, Brazil) |
title_sort |
Environmental monitoring and hydrological simulations of a natural wetland based on high-resolution unmanned aerial vehicle data (Paulista Peripheral Depression, Brazil) |
author |
Moreira Furlan, Lucas [UNESP] |
author_facet |
Moreira Furlan, Lucas [UNESP] Moreira, César Augusto [UNESP] de Alencar, Paulo Guilherme [UNESP] Rosolen, Vânia [UNESP] |
author_role |
author |
author2 |
Moreira, César Augusto [UNESP] de Alencar, Paulo Guilherme [UNESP] Rosolen, Vânia [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Moreira Furlan, Lucas [UNESP] Moreira, César Augusto [UNESP] de Alencar, Paulo Guilherme [UNESP] Rosolen, Vânia [UNESP] |
dc.subject.por.fl_str_mv |
Digital photogrammetry Drone Multi-temporal Sugarcane Unmanned aerial vehicle Wetland monitoring |
topic |
Digital photogrammetry Drone Multi-temporal Sugarcane Unmanned aerial vehicle Wetland monitoring |
description |
The main biofuel produced in Brazil is ethanol representing 16% of energy production in the national energy matrix, that is why sugarcane is one of the most important crops for Brazilian agriculture. The land conversion associated with the advancement of agriculture is often carried out inappropriately advancing over areas of high environmental sensitivity, such as natural small wetlands. The level of detail required to monitor subtle changes in their dynamics and landscape makes very high-resolution images (+ 10 cm/pixel resolution) acquired by unmanned aerial vehicles (UAVs) an excellent data. The objective of this research was to use UAV orthomosaics and digital elevation models to carry out seasonal monitoring, simulate the water flow in the areas of hydric-contribution and inland flooding, and validate the flooding simulations. The studied wetland located in the State of São Paulo (Paulista Peripheral Depression), showed a seasonal surface water storage capacity (28,067 m³) and a loss of approximately 12.27% of its total area between October 2019 and February 2020. The flooding simulations were validated with data observed by the imagery (variation of ± 3.27%.), being possible to be reapplied in several small ecosystems. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08-01 2022-04-28T19:47:45Z 2022-04-28T19:47:45Z |
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 |
http://dx.doi.org/10.1016/j.envc.2021.100146 Environmental Challenges, v. 4. 2667-0100 http://hdl.handle.net/11449/222954 10.1016/j.envc.2021.100146 2-s2.0-85120323748 |
url |
http://dx.doi.org/10.1016/j.envc.2021.100146 http://hdl.handle.net/11449/222954 |
identifier_str_mv |
Environmental Challenges, v. 4. 2667-0100 10.1016/j.envc.2021.100146 2-s2.0-85120323748 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Environmental Challenges |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1803046184630091776 |