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

dc.contributor.authorFurlan, Lucas Moreira [UNESP]
dc.contributor.authorFerreira, Manuel Eduardo
dc.contributor.authorMoreira, César Augusto [UNESP]
dc.contributor.authorde Alencar, Paulo Guilherme [UNESP]
dc.contributor.authorCasagrande, Matheus Felipe Stanfoca [UNESP]
dc.contributor.authorRosolen, Vânia [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Federal de Goiás (UFG)
dc.date.accessioned2023-07-29T13:08:49Z
dc.date.available2023-07-29T13:08:49Z
dc.date.issued2023-04-01
dc.description.abstractIn 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.en
dc.description.affiliationDepartment of Geology Institute of Geosciences and Exact Sciences São Paulo State University (UNESP), Av. 24A, 1515, Bela Vista
dc.description.affiliationLAPIG—Image Processing and GIS Laboratory Institute of Socio-Environmental Studies Federal University of Goiás, Samambaia Campus, Av. Esperança s/n
dc.description.affiliationUnespDepartment of Geology Institute of Geosciences and Exact Sciences São Paulo State University (UNESP), Av. 24A, 1515, Bela Vista
dc.identifierhttp://dx.doi.org/10.3390/rs15071870
dc.identifier.citationRemote Sensing, v. 15, n. 7, 2023.
dc.identifier.doi10.3390/rs15071870
dc.identifier.issn2072-4292
dc.identifier.scopus2-s2.0-85152773010
dc.identifier.urihttp://hdl.handle.net/11449/247189
dc.language.isoeng
dc.relation.ispartofRemote Sensing
dc.sourceScopus
dc.subjectdrone
dc.subjectelectrical resistivity tomography
dc.subjectsatellite
dc.subjectsavanna
dc.subjectunmanned aerial vehicle
dc.titleSatellite, 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 Brazilen
dc.typeArtigo
unesp.author.orcid0000-0003-4516-6373[2]

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