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.
Publication date: 2020-12-17
Where/When
- Study area
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- Temporal extent
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1988-01-01 to 2019-12-31
Provenance & quality
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.
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.
Citations
Boothroyd, R.J., Williams, R.D., Hoey, T.B., Tolentino, P.L.M., & Yang, X. (2021). National-scale assessment of decadal river migration at critical bridge infrastructure in the Philippines. Science of The Total Environment, 144460.
https://doi.org/10.1016/j.scitotenv.2020.144460
Correspondence/contact details
Dr. Richard Boothroyd
University of Glasgow
School of Geographical and Earth Sciences
UK
richard.boothroyd@glasgow.ac.uk
UK
Other contacts
- Custodian
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NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
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NERC Environmental Information Data Centreinfo@eidc.ac.uk
- Rights Holder
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University of Glasgowenquiries@ceh.ac.uk
Additional metadata
- Topic categories
- Structure , Inland Waters
- Keywords
- bridges, Dice similarity coefficient, Fluvial geomorphology, Jaccard index, Mapping, Philippines, river channel, river migration, RivWidthCloud, stream network characteristics
- Funding
- Natural Environment Research Council Award: NE/S003312/1
- Spatial representation type
- Vector
- Spatial reference system
- WGS 84
- Last updated
- 25 June 2021 18:39