Litcius/Paper detail

Google Earth Engine Implementation of the Floodwater Depth Estimation Tool (FwDET-GEE) for Rapid and Large Scale Flood Analysis

B. G. Peter, Sagy Cohen, Ronan Lucey, Dinuke Munasinghe, Austin Raney, G. Robert Brakenridge

2020IEEE Geoscience and Remote Sensing Letters58 citationsDOI

Abstract

The Floodwater Depth Estimation Tool (FwDET) provides rapid-response floodwater depth estimations during time-sensitive flood events. Recently, modern cloud-computing advancements and platforms, such as Google Earth Engine (GEE), have further enabled the streamlining and scalability of large-scale geoprocessing. This letter presents a FwDET implementation in GEE (FwDET-GEE) that is open access, utilizes cloud-stored elevation data, and performs geospatial analytics on the fly. This tool offers an innovative solution for producing timely floodwater data during flood activations that require emergency response and post-flood assessment. Accuracy metrics were generated to validate the comparability of FwDET-GEE to FwDETv2.0, which used Python in ArcGIS. To demonstrate the geographic scalability of the model, both local- and region-scale flood events/systems were evaluated. This letter also highlights a use case wherein flooded areas are overlain with building footprint data to identify infrastructure at risk of damage.

Topics & Concepts

Cloud computingPython (programming language)Geospatial analysisComputer scienceFlood mythScalabilityRemote sensingEnvironmental scienceDatabaseGeographyArchaeologyOperating systemFlood Risk Assessment and ManagementHydrology and Watershed Management StudiesTropical and Extratropical Cyclones Research