Identification

Title

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

Abstract

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

Resource type

dataset

Resource locator

https://catalogue.ceh.ac.uk/datastore/eidchub/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d.zip

description: Supporting information available to assist in re-use of this dataset

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

inlandWaters

Keywords

Geographic location

West bounding longitude

114.805

East bounding longitude

126.934

North bounding latitude

21.376

South bounding latitude

4.482

Temporal reference

Temporal extent

Begin position

1988-01-01

End position

2019-12-31

Dataset reference date

date type

publication

effective date

2025-04-04

Frequency of update

Quality and validity

Lineage

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).

Conformity

Conformity report

specification

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

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

TIFF

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

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

Responsible organisations

Responsible party

organisation name

email address

richard.boothroyd@glasgow.ac.uk

web address

https://orcid.org/0000-0001-9742-4229

description: 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.

function: information