2efd24f9-e745-4f54-8bbd-6439b0ad93e5 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 2025-11-13T16:21:21 UK GEMINI 2.3 WGS 84 River channel migration and characteristics from 1988 to 2019 at 74 bridges in the Philippines 2020-12-17 publication https://catalogue.ceh.ac.uk/id/2efd24f9-e745-4f54-8bbd-6439b0ad93e5 10.5285/2efd24f9-e745-4f54-8bbd-6439b0ad93e5 doi: Boothroyd, R.J., Williams, R.D., Hoey, T.B., Tolentino, P.L.M., Yang, X. (2020). River channel migration and characteristics from 1988 to 2019 at 74 bridges in the Philippines. NERC Environmental Information Data Centre 10.5285/2efd24f9-e745-4f54-8bbd-6439b0ad93e5 The data set contains the Philippines bridge inventory, river migration geodatabase and source code to assess active river channel change (i.e. planform adjustments) using Landsat 5, 7 and 8 products in Google Earth Engine. The data set contains hydro-morphological and bridge characteristics for 74 bridges (> 200 m deck length) in the Philippines from 1988 to 2019 and is available in .csv and .shp format. For a given region of interest (ROI), the code will extract active river channel masks, calculate similarity coefficients between active river channel masks at decadal intervals and calculate active widths and centreline statistics. The code was used by Boothroyd et al. (in press) to investigate decadal river migration at critical bridge infrastructure in the Philippines. Full details about this dataset can be found at https://doi.org/10.5285/2efd24f9-e745-4f54-8bbd-6439b0ad93e5 Boothroyd, R. University of Glasgow richard.boothroyd@glasgow.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 pointOfContact Boothroyd, R.J. University of Glasgow richard.boothroyd@glasgow.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.D. 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 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.M. University of the Philippines plmtolentino@gmail.com author Yang, X. University of North Carolina yangxiao@live.unc.edu author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher University of Glasgow enquiries@ceh.ac.uk owner bridge river channelling river geomorphology GEMET - Concepts, version 4.1.3 2019-01-28 creation Philippines GeoNames 2006-01-01 creation Mapping Fluvial geomorphology river migration Jaccard index Dice similarity coefficient RivWidthCloud stream network characteristics 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: Boothroyd, R.J., Williams, R.D., Hoey, T.B., Tolentino, P.L.M., Yang, X. (2020). River channel migration and characteristics from 1988 to 2019 at 74 bridges in the Philippines. NERC Environmental Information Data Centre https://doi.org/10.5285/2efd24f9-e745-4f54-8bbd-6439b0ad93e5 vector 5 English utf8 structure inlandWaters 1988-01-01 2019-12-31 116.191 127.617 4.303 21.371 Comma-separated values (CSV) Shapefile TIFF NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://catalogue.ceh.ac.uk/datastore/eidchub/2efd24f9-e745-4f54-8bbd-6439b0ad93e5 Download the data Download a copy of this data fileAccess https://data-package.ceh.ac.uk/sd/2efd24f9-e745-4f54-8bbd-6439b0ad93e5.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 Bridge characteristics were derived from a geospatial database of Philippine bridges retrieved in April 2020 from the Detailed Bridge Inventory Application (DPWH, 2020). The database was filtered to include only permanent bridges where the bridge deck length was equal to or greater than 200 m (n = 256). A visual inspection was performed to ensure that bridges were located at contemporary river crossings (n = 182) and only those bridges where the active river channel width exceeded 150 m (equivalent to five Landsat pixels) were retained for analysis (n = 74). Stream network and geomorphology characteristics were derived from a nationwide digital elevation model (DEM) acquired in 2013 and generated through airborne Interferometric Synthetic Aperture Radar, with a 5 m spatial resolution and 1 m root-mean-square error vertical accuracy (Grafil and Castro, 2014) was used for topographic analysis and extraction of the stream network. Google Earth Engine (GEE) was used to extract active river channel masks from Landsat 5, 7 and 8 satellite imagery. The workflow contained three main processing steps: (i) cloud masking and temporal compositing; (ii) active river channel classification; and, (iii) cleaning and image export.