Satellite, UAV, and Geophysical Data to Identify Surface and Subsurface Hydrodynamics of Geographically Isolated Wetlands: Understanding an Undervalued Ecosystem at the Atlantic Forest-Cerrado Interface of Brazil

Detalhes bibliográficos
Autor(a) principal: Furlan, Lucas Moreira [UNESP]
Data de Publicação: 2023
Outros Autores: Ferreira, Manuel Eduardo, Moreira, César Augusto [UNESP], de Alencar, Paulo Guilherme [UNESP], Casagrande, Matheus Felipe Stanfoca [UNESP], Rosolen, Vânia [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/rs15071870
http://hdl.handle.net/11449/247189
Resumo: In two small and isolated wetlands located at the interface of the Atlantic Forest and Brazilian savanna (Cerrado) in São Paulo State, Brazil, we employed a pixel-based supervised classification approach using a combination of panchromatic and multispectral bands obtained from Landsat 2, 5, 7, and CBERS-04A satellites (ranging from 80 to 2 m/pixel). In addition, we acquired DJI Phantom 4 Pro UAV-RGB images in twelve different periods with a resolution of +5 cm/pixel. Furthermore, we utilized 2D and 3D Electrical Resistivity Tomography (ERT) to obtain data on the surroundings and center of the wetlands. Finally, we conducted a climatological data analysis. The results from the multisource data allowed us to classify the ecosystems as geographically isolated wetlands (GIWs), for which we documented a seasonal month-to-month (12 months) spatial variation of inundated area, vegetation pattern, soil water interaction, and a point of surface and deep-subsurface water interaction. These results are essential for high-accuracy characterization of small wetlands’ hydrodynamics and hydroperiods at the local scale. Our study contributes to optimizing GIWs understanding, monitoring, and reapplication of the methodology in other wetlands or small ecosystems.
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spelling Satellite, UAV, and Geophysical Data to Identify Surface and Subsurface Hydrodynamics of Geographically Isolated Wetlands: Understanding an Undervalued Ecosystem at the Atlantic Forest-Cerrado Interface of Brazildroneelectrical resistivity tomographysatellitesavannaunmanned aerial vehicleIn two small and isolated wetlands located at the interface of the Atlantic Forest and Brazilian savanna (Cerrado) in São Paulo State, Brazil, we employed a pixel-based supervised classification approach using a combination of panchromatic and multispectral bands obtained from Landsat 2, 5, 7, and CBERS-04A satellites (ranging from 80 to 2 m/pixel). In addition, we acquired DJI Phantom 4 Pro UAV-RGB images in twelve different periods with a resolution of +5 cm/pixel. Furthermore, we utilized 2D and 3D Electrical Resistivity Tomography (ERT) to obtain data on the surroundings and center of the wetlands. Finally, we conducted a climatological data analysis. The results from the multisource data allowed us to classify the ecosystems as geographically isolated wetlands (GIWs), for which we documented a seasonal month-to-month (12 months) spatial variation of inundated area, vegetation pattern, soil water interaction, and a point of surface and deep-subsurface water interaction. These results are essential for high-accuracy characterization of small wetlands’ hydrodynamics and hydroperiods at the local scale. Our study contributes to optimizing GIWs understanding, monitoring, and reapplication of the methodology in other wetlands or small ecosystems.Department of Geology Institute of Geosciences and Exact Sciences São Paulo State University (UNESP), Av. 24A, 1515, Bela VistaLAPIG—Image Processing and GIS Laboratory Institute of Socio-Environmental Studies Federal University of Goiás, Samambaia Campus, Av. Esperança s/nDepartment of Geology Institute of Geosciences and Exact Sciences São Paulo State University (UNESP), Av. 24A, 1515, Bela VistaUniversidade Estadual Paulista (UNESP)Universidade Federal de Goiás (UFG)Furlan, Lucas Moreira [UNESP]Ferreira, Manuel EduardoMoreira, César Augusto [UNESP]de Alencar, Paulo Guilherme [UNESP]Casagrande, Matheus Felipe Stanfoca [UNESP]Rosolen, Vânia [UNESP]2023-07-29T13:08:49Z2023-07-29T13:08:49Z2023-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/rs15071870Remote Sensing, v. 15, n. 7, 2023.2072-4292http://hdl.handle.net/11449/24718910.3390/rs150718702-s2.0-85152773010Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensinginfo:eu-repo/semantics/openAccess2023-07-29T13:08:49Zoai:repositorio.unesp.br:11449/247189Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T13:08:49Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Satellite, UAV, and Geophysical Data to Identify Surface and Subsurface Hydrodynamics of Geographically Isolated Wetlands: Understanding an Undervalued Ecosystem at the Atlantic Forest-Cerrado Interface of Brazil
title Satellite, UAV, and Geophysical Data to Identify Surface and Subsurface Hydrodynamics of Geographically Isolated Wetlands: Understanding an Undervalued Ecosystem at the Atlantic Forest-Cerrado Interface of Brazil
spellingShingle Satellite, UAV, and Geophysical Data to Identify Surface and Subsurface Hydrodynamics of Geographically Isolated Wetlands: Understanding an Undervalued Ecosystem at the Atlantic Forest-Cerrado Interface of Brazil
Furlan, Lucas Moreira [UNESP]
drone
electrical resistivity tomography
satellite
savanna
unmanned aerial vehicle
title_short Satellite, UAV, and Geophysical Data to Identify Surface and Subsurface Hydrodynamics of Geographically Isolated Wetlands: Understanding an Undervalued Ecosystem at the Atlantic Forest-Cerrado Interface of Brazil
title_full Satellite, UAV, and Geophysical Data to Identify Surface and Subsurface Hydrodynamics of Geographically Isolated Wetlands: Understanding an Undervalued Ecosystem at the Atlantic Forest-Cerrado Interface of Brazil
title_fullStr Satellite, UAV, and Geophysical Data to Identify Surface and Subsurface Hydrodynamics of Geographically Isolated Wetlands: Understanding an Undervalued Ecosystem at the Atlantic Forest-Cerrado Interface of Brazil
title_full_unstemmed Satellite, UAV, and Geophysical Data to Identify Surface and Subsurface Hydrodynamics of Geographically Isolated Wetlands: Understanding an Undervalued Ecosystem at the Atlantic Forest-Cerrado Interface of Brazil
title_sort Satellite, UAV, and Geophysical Data to Identify Surface and Subsurface Hydrodynamics of Geographically Isolated Wetlands: Understanding an Undervalued Ecosystem at the Atlantic Forest-Cerrado Interface of Brazil
author Furlan, Lucas Moreira [UNESP]
author_facet Furlan, Lucas Moreira [UNESP]
Ferreira, Manuel Eduardo
Moreira, César Augusto [UNESP]
de Alencar, Paulo Guilherme [UNESP]
Casagrande, Matheus Felipe Stanfoca [UNESP]
Rosolen, Vânia [UNESP]
author_role author
author2 Ferreira, Manuel Eduardo
Moreira, César Augusto [UNESP]
de Alencar, Paulo Guilherme [UNESP]
Casagrande, Matheus Felipe Stanfoca [UNESP]
Rosolen, Vânia [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade Federal de Goiás (UFG)
dc.contributor.author.fl_str_mv Furlan, Lucas Moreira [UNESP]
Ferreira, Manuel Eduardo
Moreira, César Augusto [UNESP]
de Alencar, Paulo Guilherme [UNESP]
Casagrande, Matheus Felipe Stanfoca [UNESP]
Rosolen, Vânia [UNESP]
dc.subject.por.fl_str_mv drone
electrical resistivity tomography
satellite
savanna
unmanned aerial vehicle
topic drone
electrical resistivity tomography
satellite
savanna
unmanned aerial vehicle
description In two small and isolated wetlands located at the interface of the Atlantic Forest and Brazilian savanna (Cerrado) in São Paulo State, Brazil, we employed a pixel-based supervised classification approach using a combination of panchromatic and multispectral bands obtained from Landsat 2, 5, 7, and CBERS-04A satellites (ranging from 80 to 2 m/pixel). In addition, we acquired DJI Phantom 4 Pro UAV-RGB images in twelve different periods with a resolution of +5 cm/pixel. Furthermore, we utilized 2D and 3D Electrical Resistivity Tomography (ERT) to obtain data on the surroundings and center of the wetlands. Finally, we conducted a climatological data analysis. The results from the multisource data allowed us to classify the ecosystems as geographically isolated wetlands (GIWs), for which we documented a seasonal month-to-month (12 months) spatial variation of inundated area, vegetation pattern, soil water interaction, and a point of surface and deep-subsurface water interaction. These results are essential for high-accuracy characterization of small wetlands’ hydrodynamics and hydroperiods at the local scale. Our study contributes to optimizing GIWs understanding, monitoring, and reapplication of the methodology in other wetlands or small ecosystems.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T13:08:49Z
2023-07-29T13:08:49Z
2023-04-01
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/10.3390/rs15071870
Remote Sensing, v. 15, n. 7, 2023.
2072-4292
http://hdl.handle.net/11449/247189
10.3390/rs15071870
2-s2.0-85152773010
url http://dx.doi.org/10.3390/rs15071870
http://hdl.handle.net/11449/247189
identifier_str_mv Remote Sensing, v. 15, n. 7, 2023.
2072-4292
10.3390/rs15071870
2-s2.0-85152773010
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Remote Sensing
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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