Satellite-derived geomorphic river mobility for ten catchments in the Philippines, 1988-2019
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. (Dataset). https://doi.org/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.
NERC EDS Environmental Information Data Centre
Boothroyd, R.J., Williams, R.D., Hoey, T.B. et al. Big data show idiosyncratic patterns and rates of geomorphic river mobility. Nat Commun 16, 3263 (2025).
Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD)