| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21c.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34R/43BQM2B | |||
| Repository | sid.inpe.br/mtc-m21c/2020/10.02.16.09 (restricted access) | |||
| Last Update | 2020:10.02.16.09.46 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21c/2020/10.02.16.09.46 | |||
| Metadata Last Update | 2022:01.04.01.35.27 (UTC) administrator | |||
| DOI | 10.1016/j.rse.2020.112065 | |||
| ISSN | 0034-4257 | |||
| Citation Key | FassoniAndradePaiRudBarNov:2020:CaStAm | |||
| Title | High-resolution mapping of floodplain topography from space: A case study in the Amazon  | |||
| Year | 2020 | |||
| Month | Dec. | |||
| Access Date | 2024, May 18 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 15496 KiB | |||
| 2. Context | ||||
| Author | 1 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 | |||
| Resume Identifier | 1 2 3 4 8JMKD3MGP5W/3C9JGSB 5 8JMKD3MGP5W/3C9JH39 | |||
| Group | 1 2 3 4 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 5 DIDSR-CGOBT-INPE-MCTIC-GOV-BR | |||
| Affiliation | 1 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) | |||
| Author e-Mail Address | 1 2 3 4 claudio.barbosa@inpe.br 5 evlyn.novo@inpe.br | |||
| Journal | Remote Sensing of Environment | |||
| Volume | 251 | |||
| Pages | e112065 | |||
| Secondary Mark | A1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE | |||
| History (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. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Content Type | External Contribution | |||
| Version Type | publisher | |||
| Keywords | Flood 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 | |||
| Abstract | Terrain 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. | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > High-resolution mapping of... | |||
| Arrangement 2 | urlib.net > DIDSR > High-resolution mapping of... | |||
| Arrangement 3 | urlib.net > BDMCI > Fonds > LabISA > High-resolution mapping of... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Language | en | |||
| Target File | andrade_high.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Archiving Policy | denypublisher allowfinaldraft24 | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/439EAFB | |||
| Citing Item List | sid.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 4 | |||
| Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. | |||
| Host Collection | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal 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. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||