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Tipo de ReferênciaJournal Article
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3SA3L35
Repositóriosid.inpe.br/mtc-m21c/2018/11.27.10.17   (acesso restrito)
Última Atualização2018:11.27.10.17.08 simone
Metadadossid.inpe.br/mtc-m21c/2018/11.27.10.17.08
Última Atualização dos Metadados2019:01.14.17.06.39 administrator
DOI10.1016/j.isprsjprs.2018.09.001
ISSN0924-2716
Chave de CitaçãoGuimarãesNarGalSilCam:2018:RaApFl
TítuloRadargrammetric approaches to the flat relief of the amazon coast using COSMO-SkyMed and TerraSAR-X datasets
Ano2018
MêsNov.
Data de Acesso17 abr. 2021
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho4752 KiB
Área de contextualização
Autor1 Guimarães, Ulisses Silva
2 Narvaes, Igor da Silva
3 Galo, Maria de Lourdes Bueno Trindade
4 Silva, Arnaldo de Queiroz da
5 Camargo, Paulo de Oliveira
Grupo1
2 CRCRA-COCRE-INPE-MCTIC-GOV-BR
Afiliação1 Centro Gestor e Operacional do Sistema de Proteção da Amazônia/Centro Regional de Belém (CENSIPAM/CR-Belém)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidade Estadual Paulista (UNESP)
4 Universidade Federal do Pará (UFPA)
5 Universidade Estadual Paulista (UNESP)
Endereço de e-Mail do Autor1 ulisses.silva@sipam.gov.br
2 igor.narvaes@inpe.br
3 mlourdes@fct.unesp.br
4 arnaldoq@ufpa.br
5 paulo@fct.unesp.br
RevistaISPRS Journal of Photogrammetry and Remote Sensing
Volume145
NúmeroB
Páginas284-296
Tipo SecundárioPRE PI
Nota SecundáriaA1_GEOCIÊNCIAS A2_INTERDISCIPLINAR A2_CIÊNCIAS_AMBIENTAIS B1_ENGENHARIAS_IV B1_BIODIVERSIDADE C_CIÊNCIAS_AGRÁRIAS_I
Histórico2018-11-27 10:17:08 :: simone -> administrator ::
2018-11-27 10:17:08 :: administrator -> simone :: 2018
2018-11-27 10:17:55 :: simone -> administrator :: 2018
2019-01-14 17:06:39 :: administrator -> simone :: 2018
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É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteudoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveSynthetic aperture radar, Radargrammetry, Amazon coastal environments, Digital surface models.
ResumoThe 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.
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