Published July 7, 2020 | Version v1
Presentation Open

Detecting and quantifying morphological change in tropical rivers using Google Earth Engine and image analysis techniques

  • 1. School of Geographical and Earth Sciences, University of Glasgow
  • 2. Department of Civil Engineering, Brunel University London
  • 3. National Institute of Geological Sciences, University of Philippines
  • 4. Department of Geological Sciences, University of North Carolina

Description

Various tools have been demonstrated that are capable of delineating and characterizing river channels, but efforts to scale these analyses up to multi-temporal, catchment-scale applications are in their infancy.  Here, we use Google Earth Engine (GEE) to extract the active channel (including the wetted channel and unvegetated, alluvial deposits) from the Bislak and Cagayan Rivers in the Philippines.  Using temporal composites of Landsat 5, 7 and 8 satellite imagery over ~30 years, the active channel is resolved at annual intervals.  The active channel occurrence frequency is mapped using image analysis techniques to detect large-scale planimetric change.  Quantification of active channel centerline change is achieved using the RivMAP toolbox.  Over a 135 km reach of the Cagayan River, the average migration rate was 17.5 m.a-1 ranging from 7.7 m.a-1 in 1988 to 37.0 m.a-1 in 2005.  The findings quantify patterns of dynamism in tropical river systems and demonstrate the utility of GEE in fluvial geomorphology applications.

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Boothroyd_et_al_RiverFlow_2020_Presentation.pdf

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Additional details

Funding

[Philippines] Catchment susceptibility to hydrometeorological events: sediment flux and geomorphic change as drivers of flood risk in the Philippines NE/S003312/1
UK Research and Innovation