Radargrammetric approaches to the flat relief of the amazon coast using COSMO-SkyMed and TerraSAR-X datasets

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dc.contributor.authorGuimarães, Ulisses Silva [UNESP]
dc.contributor.authorNarvaes, Igor da Silva
dc.contributor.authorGalo, Maria de Lourdes Bueno Trindade [UNESP]
dc.contributor.authorda Silva, Arnaldo de Queiroz
dc.contributor.authorCamargo, Paulo de Oliveira [UNESP]
dc.contributor.institutionCentro Gestor e Operacional do Sistema de Proteção da Amazônia/Centro Regional de Belém (CENSIPAM/CR-Belém)
dc.contributor.institution2651
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal do Pará (UFPA)
dc.date.accessioned2018-12-11T17:38:27Z
dc.date.available2018-12-11T17:38:27Z
dc.date.issued2018-01-01
dc.description.abstractThe Amazonian coast consists of extensive flood plains and plateaus characterized by a high discharge of water and sediment from the Amazon River. This wide landscape occurs under a tropical climate with heavy rains and high cloud cover, making it unsuitable for conventional mapping based on optical images. Additionally, the flat relief and vegetation structure of the Brazilian Amazon coast define an incoherent to partially coherent behavior for the microwave signal, rendering radargrammetric models more suitable for the three-dimensional mapping of its surface. This study aimed to assess the digital surface models (DSMs) provided by Cosmo-SkyMed (CSK) and TerraSAR-X (TSX) Stripmap datasets throughout the radargrammetric models from SARscape and Toutin. The DSMs were generated from SAR (synthetic aperture radar) data with an acquisition geometry that addressed the need for a compromise between the intersection angles and low temporal decorrelation. The radargrammetric SARscape and Toutin's models were developed from different amounts of stereo ground control points (SGCP). The generated DSMs were evaluated considering a set of 40 independent checkpoints (ICP) measured by GNSS in the field, in their entirety and disaggregated by coastal environment. The vertical accuracy was based on the estimation of the discrepancies, bias and precision (standard deviation and root mean square error – RMSE), and the Taylor and Target diagrams were used for a more comprehensive comparison. In the vertical accuracy analysis using all ICPs measured in situ, the DSM obtained by the SARscape's model from the CSK SAR data resulted in the lowest RMSE (4.34 m) and mean discrepancy (0.05 m), but Toutin's model had the lowest standard deviation (2.58 m) of the discrepancies. The Taylor and Target diagrams showed fluctuations in accuracy that alternated the DSMs generated from the two types of SAR data, indicating that TSX produced more stable models and CSK produced better vertical accuracy. The Amazon Coastal Plateau and Fluvial Marine Terrace environments defined three-dimensional representations with lower RMSEs (better than 7.8 and 8.9 m, respectively), regardless of the type of SAR data or the radargrammetric model used. The worst performance, which was for the Fluvial Marine Plain, was influenced by the specific characteristics of this coastal environment, such as the structure of the mangrove vegetation and the shoreline. In general, the high resolution and good ability to revisit the SAR data used, together with the radargrammetric models, allowed for the accurate mapping of the flat relief of the Amazon coastal environments, providing detailed spatial information that can be acquired in severe rainfall conditions in a region of intense morphological dynamics.en
dc.description.affiliationCentro Gestor e Operacional do Sistema de Proteção da Amazônia/Centro Regional de Belém (CENSIPAM/CR-Belém), Avenida Júlio Cesar, 7060
dc.description.affiliationInstituto Nacional de Pesquisas Espaciais/Centro Regional da Amazônia (INPE/CRA) Parque de Ciência e Tecnologia do Guamá 2651
dc.description.affiliationUniversidade Estadual Paulista (Unesp) Faculdade de Ciências e Tecnologia Presidente Prudente, Rua Roberto Simonsen, 305
dc.description.affiliationUniversidade Federal do Pará/Instituto de Geociências (UFPA/IG), Rua Augusto Corrêa, 01
dc.description.affiliationUnespUniversidade Estadual Paulista (Unesp) Faculdade de Ciências e Tecnologia Presidente Prudente, Rua Roberto Simonsen, 305
dc.identifierhttp://dx.doi.org/10.1016/j.isprsjprs.2018.09.001
dc.identifier.citationISPRS Journal of Photogrammetry and Remote Sensing.
dc.identifier.doi10.1016/j.isprsjprs.2018.09.001
dc.identifier.file2-s2.0-85053135075.pdf
dc.identifier.issn0924-2716
dc.identifier.lattes6790708247598813
dc.identifier.lattes0894715226925471
dc.identifier.orcid0000-0001-7648-1291
dc.identifier.scopus2-s2.0-85053135075
dc.identifier.urihttp://hdl.handle.net/11449/180172
dc.language.isoeng
dc.relation.ispartofISPRS Journal of Photogrammetry and Remote Sensing
dc.relation.ispartofsjr3,169
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectAmazon coastal environments
dc.subjectDigital surface models
dc.subjectRadargrammetry
dc.subjectSynthetic aperture radar
dc.titleRadargrammetric approaches to the flat relief of the amazon coast using COSMO-SkyMed and TerraSAR-X datasetsen
dc.typeArtigo
unesp.author.lattes6790708247598813[5]
unesp.author.lattes0894715226925471
unesp.author.orcid0000-0001-7648-1291[5]

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