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.
| Original language | English |
|---|---|
| Journal | IEEE Geoscience and Remote Sensing Letters |
| Volume | 19 |
| DOIs | |
| State | Published - 1 Jan 2022 |
| Externally published | Yes |
Keywords
- Emergency response
- Flood mapping
- Google Earth Engine (GEE)
- Remote sensing
ASJC Scopus subject areas
- Geotechnical Engineering and Engineering Geology
- Electrical and Electronic Engineering