Journal
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 19, Issue -, Pages -Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2020.3031190
Keywords
Floods; Estimation; Earth; Tools; Buildings; Data models; Remote sensing; Emergency response; flood mapping; Google Earth Engine (GEE); remote sensing
Categories
Funding
- University of Alabama CyberSeed Program
- Alabama Water Institute-(WaterServ: A Cyberinfrastructure for Analysis, Visualization and Sharing of Hydrological Data)
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This study introduces a tool for rapid floodwater depth estimation during emergency flood events, which utilizes a cloud computing platform for streamlined geoprocessing. The tool provides an innovative solution for emergency response and flood assessment, and its reliability is validated through accuracy metrics.
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.
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