• BGS Hosted Metadata
  •   Search
  •   Map
  •  Sign in

Satellite-derived geomorphic river mobility for ten catchments in the Philippines, 1988-2019

This data set contains satellite-derived information on geomorphic river mobility for ten catchments in the Philippines. We applied the locational probability approach to map the proportion of time that a river channel occupies a particular location. We quantified satellite-derived locational probabilities for 600 km2 of riverbed. The information is useful for predicting and developing resilience to river-related hazards in dynamic landscapes. We provide example Google Earth Engine (GEE) and MATLAB codes to replicate satellite-derived locational probability analyses, and provide outputs for each catchment. Data sets include: (1) example GEE codes to run satellite imagery analyses; (2) example MATLAB codes and data to generate locational probabilities; (3) example MATLAB codes and data to produce longitudinal analyses; and, (4) processed locational probability outputs for the ten catchments. The work was supported by the Natural Environment Research Council (NERC) and Department of Science and Technology - Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) – Newton Fund grant NE/S003312. Full details about this dataset can be found at https://doi.org/10.5285/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d

Simple

Date (Publication)
2025-04-04
Citation identifier
https://catalogue.ceh.ac.uk/id/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d
Citation identifier
doi: / 10.5285/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d
Other citation details

Boothroyd, R.J., Williams, R.D., Hoey, T.B., Brierley, G.J., Tolentino, P.L.M., Guardian, E.L., Reyes, J.C.M., Sabillo, C.J., Quick, L., Perez, J.E.G., David, C.P.C. (2025). Satellite-derived geomorphic river mobility for ten catchments in the Philippines, 1988-2019. NERC EDS Environmental Information Data Centre 10.5285/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d

Point of contact
Organisation name Individual name Electronic mail address Role
University of Glasgow Boothroyd, R.J.

richard.boothroyd@glasgow.ac.uk

Point of contact
University of Glasgow Boothroyd, R.J.

richard.boothroyd@glasgow.ac.uk

Author
University of Glasgow Williams, R.D.

richard.williams@glasgow.ac.uk

Author
Brunel University of London Hoey, T.B.

trevor.hoey@brunel.ac.uk

Author
University of Auckland Brierley, G.J.

g.brierley@auckland.ac.nz

Author
University of Glasgow Tolentino, P.L.M.

p.tolentino.1@research.gla.ac.uk

Author
University of the Philippines Diliman

Guardian, E.L.

esmaelguardian@gmail.com

Author
University of the Philippines Diliman

Reyes, J.C.M.

reyes.jcmo@gmail.com

Author
University of the Philippines Diliman

Sabillo, C.J.

cathrinesabillo@gmail.com

Author
University of Glasgow Quick, L.

laura.quick@glasgow.ac.uk

Author
University of Vienna

Perez, J.E.G.

john.edward.perez@univie.ac.at

Author
University of the Philippines Diliman

David, C.P.C.

cp.david@yahoo.com

Author
University of Glasgow

EMAIL NOT PROVIDED

Owner
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Custodian
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Publisher

GEMET - Concepts, version 4.1.3

  • river
  • geomorphology
Keywords
  • Hydrology
  • Modelling
  • geomorphic river mobility

  • locational probability

  • active river channel

Access constraints
Other restrictions
Other constraints
no limitations
Use constraints
Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
Other restrictions
Other constraints

If you reuse this data, you should cite: Boothroyd, R.J., Williams, R.D., Hoey, T.B., Brierley, G.J., Tolentino, P.L.M., Guardian, E.L., Reyes, J.C.M., Sabillo, C.J., Quick, L., Perez, J.E.G., David, C.P.C. (2025). Satellite-derived geomorphic river mobility for ten catchments in the Philippines, 1988-2019. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d

Spatial representation type
Grid
Spatial representation type
Vector
Distance
10  urn:ogc:def:uom:EPSG::9001
Language
English
Character set
UTF8
Topic category
  • Inland waters
Begin date
1988-01-01
End date
2019-12-31
N
S
E
W
thumbnail




Unique resource identifier
WGS 84 / UTM zone 51N
Distribution format
Name Version

TIFF

.txt

Shapefile

Distributor contact
Organisation name Individual name Electronic mail address Role

NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://catalogue.ceh.ac.uk/datastore/eidchub/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d

Download the data

OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/sd/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d.zip

Supporting information

Hierarchy level
Dataset
Other

dataset

Conformance result

Title

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

Date (Publication)
2010-12-08
Statement

We calculated locational probabilities from multi-temporal Landsat imagery. We processed a 32-year record of Landsat satellite imagery between 1988-2019 into two-year time-windows and classified active channels as including both wetted channels and unvegetated alluvial deposits; analogous to the bankfull channel extent. Having quality checked and manually edited the binary active channel outputs, we calculated per-pixel locational probabilities to indicate the spatial dynamics of geomorphic river mobility. QA was completed by visually checking the active channel extents against available imagery. The position of classified active river channels were in good visual agreement with satellite and aerial imagery (e.g. Landsat and Google Earth imagery). The data set is fully described in the supporting documentation and the methods section of Boothroyd et al., (2025).

Metadata

File identifier
a2bcc66e-4dcc-4ed1-897d-cdf36dde246d XML
Metadata language
English
Character set
8859 Part 1
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2025-11-13T16:22:29
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords



Provided by

logo

Share on social sites

Access to the catalogue
Read here the full details and access to the data.




  •   About
  •   Github
  •