11786f86-a3ac-45ab-81b5-10fd157e3d7a English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2026-02-06T13:36:12 UK GEMINI 2.3 WGS 84 Bank strength measurements in the Amazon River, September to October 2022 2024-04-03 publication https://catalogue.ceh.ac.uk/id/11786f86-a3ac-45ab-81b5-10fd157e3d7a 10.5285/11786f86-a3ac-45ab-81b5-10fd157e3d7a doi: Brückner, M.Z.M., Aalto, R., Best, J., Paes de Almeida, R., Nicholas, A.P., Ashworth, P., Ianniruberto, M. (2024). Bank strength measurements in the Amazon River, September to October 2022. NERC EDS Environmental Information Data Centre 10.5285/11786f86-a3ac-45ab-81b5-10fd157e3d7a These data contain bank strength measurements in a 100 km reach of the Solimões River from Sep/Oct 2022 recorded with a shear vane and a cohesion strength meter. In addition, processed satellite (Landsat) imagery from 1984-2021 was used to calculate erosional and depositional area in three 50-120 km long reaches in the Solimoes River presented here as shape-files. Processed Corona imagery 1967 for a 120 km long reach in the Solimoes River shows the banklines and bar outlines. A spreadsheet provides erosional and depositional area at 20-km sections along the 1,600km of the Solimoes River that were based on measuring floodplain width from a digital elevation model (FABDEM). We also attach a GeoTIFF file of the multibeam echo sounder (MBES) data collected during the field campaign in a 20-km long reach in the Solimoes River Full details about this dataset can be found at https://doi.org/10.5285/11786f86-a3ac-45ab-81b5-10fd157e3d7a Brückner, M.Z.M. Exeter University m.bruckner@exeter.ac.uk https://orcid.org/0000-0002-7954-9586 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Aalto, R. Exeter University Rolf.Aalto@exeter.ac.uk https://orcid.org/0000-0003-1503-0141 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Best, J. University of Illinois at Urbana-Champaign jimbest@illinois.edu https://orcid.org/0000-0001-5314-6140 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Paes de Almeida, R. University of São Paulo rpalmeid@usp.br https://orcid.org/0000-0003-3664-1558 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Nicholas, A.P. Exeter University A.P.Nicholas@exeter.ac.uk https://orcid.org/0000-0002-8713-8656 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Ashworth, P. University of Brighton P.Ashworth@brighton.ac.uk https://orcid.org/0000-0002-9642-4857 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Ianniruberto, M. University of Brasilia ianniruberto@unb.br https://orcid.org/0000-0002-9056-9668 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian Brückner, M.Z.M. Exeter University m.bruckner@exeter.ac.uk https://orcid.org/0000-0002-7954-9586 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner Hydrology Brazil Solimoes River bank strength channel erosion and deposition fluvial morphodynamics otherRestrictions no limitations otherRestrictions Creative Commons Attribution 4.0 International (CC BY 4.0) otherRestrictions If you reuse this data, you should cite: Brückner, M.Z.M., Aalto, R., Best, J., Paes de Almeida, R., Nicholas, A.P., Ashworth, P., Ianniruberto, M. (2024). Bank strength measurements in the Amazon River, September to October 2022. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/11786f86-a3ac-45ab-81b5-10fd157e3d7a textTable vector grid English utf8 environment inlandWaters imageryBaseMapsEarthCover 2022-09-01 2022-10-31 -68.95 -57.393 -8.668 2.372 Comma-separated values (CSV) Shapefile TIFF NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://catalogue.ceh.ac.uk/datastore/eidchub/11786f86-a3ac-45ab-81b5-10fd157e3d7a Download the data Download a copy of this data fileAccess https://data-package.ceh.ac.uk/sd/11786f86-a3ac-45ab-81b5-10fd157e3d7a.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Field data collection of bank strength and MBES data collection. Conversion of bank strength measurements into kPa using available calibration equations and statistical analysis. MBES data was cleaned and regridded using appropriate software. Landsat imagery was downloaded from Google Earth Engine as composite images between 1984-88 and 2019-22 and converted into binary maps of water and dry cells for each period. Small channels and lakes were removed in ArcGIS and split into sections of approximately 20- and 10-km lengths. GIS analysis was carried out by downloading shape-files from the Global Water Surface Explorer (https://global-surface-water.appspot.com/) for 1984 and 2019 along both banks of the entire Solimoes River. Net erosional and depositional area was computed as the sum of along 20-km reaches. Association and disassociation with cohesive terraces that determined based on a digital elevation model for 2000 for each reach and bank. Corona imagery was purchased and georeferenced using GIS software.