5b29d98e-28b6-4ca7-89b3-57174d6b404a 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 2026-02-02T11:34:00 UK GEMINI 2.3 WGS 84 Topography, orthoimagery, topographic change, predicted hydraulic flow, and bedload transport rates of the Bislak River, the Philippines 2025-07-10 publication https://catalogue.ceh.ac.uk/id/5b29d98e-28b6-4ca7-89b3-57174d6b404a 10.5285/5b29d98e-28b6-4ca7-89b3-57174d6b404a doi: Quick, L., Boothroyd, R., Williams, R., Hoey, T.B., Tolentino, P.L. (2025). Topography, orthoimagery, topographic change, predicted hydraulic flow, and bedload transport rates of the Bislak River, the Philippines. NERC EDS Environmental Information Data Centre 10.5285/5b29d98e-28b6-4ca7-89b3-57174d6b404a For the Bislak River, the Philippines, this dataset contains: (i) topography and orthoimagery in 2019 and 2020; (ii) Digital Elevation Models (DEMs) of Difference; (iii) predicted depth, velocity and shear stress from HEC-RAS two-dimensional hydraulic model simulations for 10, 50 and 100 year return period flood scenarios; and (iv) calculated bedload transport for 10, 50 and 100 year return period flood scenarios. Shear stress predictions were combined with median (D50) grain size observations to compute bedload transport rates for four different river patterns (meandering, wandering, braided, deltaic). For the 50 year return period flood event, bedload transport rates were also calculated for the D16 and D84 grain size. Geomorphic change detection was used to identify geomorphic change which took place between 2014-2019 and 2019-2020. All geospatial data are in WGS 1984 UTM Zone 51N. This data was created as part of a numerical, two-dimensional hydraulic modelling investigation to predict patterns of flood inundation and bedload transport for the Bislak River Philippines under different flood scenarios (10-, 50- 100-year flood events). Full details about this dataset can be found at https://doi.org/10.5285/5b29d98e-28b6-4ca7-89b3-57174d6b404a Williams, R. University of Glasgow Richard.williams@glasgow.ac.uk https://orcid.org/0000-0001-6067-1947 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 Quick, L. University of Glasgow laura.quick@glasgow.ac.uk https://orcid.org/0000-0003-2725-4767 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 Boothroyd, R. University of Liverpool richard.boothroyd@liverpool.ac.uk https://orcid.org/0000-0001-9742-4229 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 Williams, R. University of Glasgow Richard.williams@glasgow.ac.uk https://orcid.org/0000-0001-6067-1947 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 Hoey, T.B. Brunel University of London trevor.hoey@brunel.ac.uk https://orcid.org/0000-0003-0734-6218 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 Tolentino, P.L. University of Glasgow pammie.tolentino@glasgow.ac.uk https://orcid.org/0000-0002-1803-9734 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 University of Glasgow Richard.williams@glasgow.ac.uk owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher sediment transport flood GEMET - Concepts, version 4.1.3 2019-01-28 creation Hydrology geomorphic change flood inundation otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Quick, L., Boothroyd, R., Williams, R., Hoey, T.B., Tolentino, P.L. (2025). Topography, orthoimagery, topographic change, predicted hydraulic flow, and bedload transport rates of the Bislak River, the Philippines. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/5b29d98e-28b6-4ca7-89b3-57174d6b404a grid 0.5 English utf8 environment 120.56 120.76 18.21 18.34 TIFF NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://catalogue.ceh.ac.uk/datastore/eidchub/5b29d98e-28b6-4ca7-89b3-57174d6b404a Download the data Download a copy of this data fileAccess https://data-package.ceh.ac.uk/sd/5b29d98e-28b6-4ca7-89b3-57174d6b404a.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 An initial airborne LiDAR topographic survey of the Bislak River was completed in 2014, as reported by Rubio-Paringit and Parangit (2015). Subsequent airborne LiDAR topographic surveys were commissioned in 2019 and 2020 to provide repeat datasets. The Bislak DEMs were formed from a fusion of topographic data collected from different survey techniques (e.g. LiDAR, echo sounding and spectrally based depth mapping). HEC-RAS 2D software was used to predict inundation patterns (depth, velocity, shear stress). Bislak River Bedload transport rate predictions were generated using the shear stress rasters exported from HEC-RAS. Shear stress rasters were split into river morphology types (meandering, wandering, braided, deltaic).