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:a2bcc66e-4dcc-4ed1-897d-cdf36dde246d
dcterms:title "Satellite-derived geomorphic river mobility for ten catchments in the Philippines, 1988-2019" ;
dcterms:identifier "https://catalogue.ceh.ac.uk/id/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d","https://doi.org/10.5285/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d" ;
dcterms:bibliographicCitation "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" ;
dcterms:description "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." ;
dcterms:provenance [
a dcterms:ProvenanceStatement ;
rdfs:label "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)."
] ;
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dcterms:temporal
[ a dcterms:PeriodOfTime ;
dcat:startDate "1988-01-01"^^xsd:date ;
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<http://www.eionet.europa.eu/gemet/concept/7244>,
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foaf:name "Boothroyd, R.J." ;
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