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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/43BQM2B
Repositóriosid.inpe.br/mtc-m21c/2020/10.02.16.09   (acesso restrito)
Última Atualização2020:10.02.16.09.46 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2020/10.02.16.09.46
Última Atualização dos Metadados2022:01.04.01.35.27 (UTC) administrator
DOI10.1016/j.rse.2020.112065
ISSN0034-4257
Chave de CitaçãoFassoniAndradePaiRudBarNov:2020:CaStAm
TítuloHigh-resolution mapping of floodplain topography from space: A case study in the Amazon
Ano2020
MêsDec.
Data de Acesso11 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho15496 KiB
2. Contextualização
Autor1 Fassoni Andrade, Alice César
2 Paiva, Rodrigo Cauduro Dias de
3 Rudorff, Conrado de Moraes
4 Barbosa, Cláudio Clemente Faria
5 Novo, Evlyn Márcia Leão de Moraes
Identificador de Curriculo1
2
3
4 8JMKD3MGP5W/3C9JGSB
5 8JMKD3MGP5W/3C9JH39
Grupo1
2
3
4 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
5 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Universidade Federal do Rio Grande do Sul (UFRGS)
2 Universidade Federal do Rio Grande do Sul (UFRGS)
3 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1
2
3
4 claudio.barbosa@inpe.br
5 evlyn.novo@inpe.br
RevistaRemote Sensing of Environment
Volume251
Páginase112065
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE
Histórico (UTC)2020-10-02 16:09:46 :: simone -> administrator ::
2020-10-02 16:09:47 :: administrator -> simone :: 2020
2020-10-02 16:10:19 :: simone -> administrator :: 2020
2020-10-04 02:06:47 :: administrator -> simone :: 2020
2020-12-14 14:27:55 :: simone -> administrator :: 2020
2022-01-04 01:35:27 :: administrator -> simone :: 2020
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveFlood frequency
Water level
Topography
Digital elevation model
MERIT
SRTM
Amazon
Lakes
Floodplain
Geomorphology changes
Storage volume
Altimetry
ICESat
Landsat
Global surface water
Google earth engine
ResumoTerrain elevation is essential for land management, navigation, and earth science applications. Remote sensing advancements have led to an increase in the availability of a range of digital elevation models with global to quasi-global land coverage. However, the generation of these models in water bodies requires specialized approaches, such as the delimitation of the shorelines (isobaths) of lakes over time. Therefore, the processing costs are high in complex areas with many lakes. Currently, there is no systematic topographic mapping of lakes and channels in large and complex floodplains using remote sensing data. We present here the first high-resolution topographic mapping (30 m) of the non-forested portion of the middle-lower Amazon floodplain using a new method based on in-situ Amazon river water levels and a flood-frequency map derived from the Landsat Global Surface Water Dataset. Validation using locally derived bathymetry showed a root mean square error (RMSE) of 0.89 m for floodplain elevation and a good representation of spatial patterns with Pearson's correlation coefficient of 0.77. Our approach for improving topographic representation in open water areas is an alternative to SRTM3 DEM or MERIT DEM, which represents these areas as a flat surface. We also generated the Amazon River bathymetry using nautical charts from the Brazilian Navy (average RMSE of 7.5 m and bias of 5 m), and floodplain depths maps corresponding to the high- and low-water periods of the river flood wave. The results show that the storage volume in the open-water floodplain varies 104.3 km3 on average each year (from 11.9 km3 in low-water to 116.2 km3 in high-water). The method can be applied to any temporarily flooded area to provide the often missing underwater digital topographic data required for hydrological, ecological, and geomorphological studies. The data set developed in this study can be found at https://doi-org.ez61.periodicos.capes.gov.br/10.17632/vn599y9szb.1.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > High-resolution mapping of...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > High-resolution mapping of...
Arranjo 3urlib.net > BDMCI > Fonds > LabISA > High-resolution mapping of...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvoandrade_high.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher allowfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/439EAFB
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.09.15.05 4
sid.inpe.br/bibdigital/2020/09.18.00.06 4
sid.inpe.br/mtc-m21/2012/07.13.14.43.57 3
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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