a2bcc66e-4dcc-4ed1-897d-cdf36dde246d 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 2025-11-13T16:22:29 UK GEMINI 2.3 WGS 84 / UTM zone 51N Satellite-derived geomorphic river mobility for ten catchments in the Philippines, 1988-2019 2025-04-04 publication https://catalogue.ceh.ac.uk/id/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d 10.5285/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d doi: 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 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 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 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 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 Brierley, G.J. University of Auckland g.brierley@auckland.ac.nz https://orcid.org/0000-0002-1310-1105 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 Glasgow p.tolentino.1@research.gla.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 Guardian, E.L. University of the Philippines Diliman esmaelguardian@gmail.com author Reyes, J.C.M. University of the Philippines Diliman reyes.jcmo@gmail.com author Sabillo, C.J. University of the Philippines Diliman cathrinesabillo@gmail.com author 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 Perez, J.E.G. University of Vienna john.edward.perez@univie.ac.at author David, C.P.C. University of the Philippines Diliman 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 river geomorphology GEMET - Concepts, version 4.1.3 2019-01-28 creation Hydrology Modelling geomorphic river mobility locational probability active river channel 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., 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 grid vector 10 English utf8 inlandWaters 1988-01-01 2019-12-31 114.805 126.934 4.482 21.376 TIFF .txt Shapefile NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://catalogue.ceh.ac.uk/datastore/eidchub/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d Download the data Download a copy of this data fileAccess https://data-package.ceh.ac.uk/sd/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d.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 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).