River channel migration and characteristics from 1988 to 2019 at 74 bridges in the Philippines
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
dataset
https://catalogue.ceh.ac.uk/datastore/eidchub/2efd24f9-e745-4f54-8bbd-6439b0ad93e5
name: Download the data
description: Download a copy of this data
function: download
https://data-package.ceh.ac.uk/sd/2efd24f9-e745-4f54-8bbd-6439b0ad93e5.zip
name: Supporting information
description: Supporting information available to assist in re-use of this dataset
function: information
https://catalogue.ceh.ac.uk/id/2efd24f9-e745-4f54-8bbd-6439b0ad93e5
doi:
eng
structure
inlandWaters
creation
2006-01-01
Fluvial geomorphology
river migration
Jaccard index
river channel
Dice similarity coefficient
RivWidthCloud
stream network characteristics
bridges
116.191
127.617
21.371
4.303
1988-01-01
2019-12-31
publication
2020-12-17
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.
publication
2010-12-08
Comma-separated values (CSV)
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
University of Glasgow
richard.boothroyd@glasgow.ac.uk
pointOfContact
University of Glasgow
richard.boothroyd@glasgow.ac.uk
author
University of Glasgow
richard.williams@glasgow.ac.uk
author
Brunel University London
author
University of the Philippines
author
University of North Carolina
author
Environmental Information Data Centre
custodian
NERC Environmental Information Data Centre
publisher
University of Glasgow
owner
Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
pointOfContact
2021-01-11T10:01:56