USGS Works to Predict and Track Isaias' Effects
Isaias Unlikely to Cause Widespread Atlantic Coast Beach Erosion
USGS Deploying Sensors in Carolinas to Monitor Hurricane Isaias
Hurricane Isaias
Information about Hurricane Isaias.
Coastal Change Hazards Portal
Coastal Change Hazards Portal
Get interactive access to coastal change science and data for our Nation’s coasts.
Flood Event Viewer
Flood Event Viewer
FEV (an interactive map) provides viewable and downloadable flood event data.
News
New USGS Map Identifies Non-Native Aquatic Species Potentially Spread by Hurricane Isaias Floodwaters
New USGS Map Identifies Non-Native Aquatic Species Potentially Spread by Hurricane Isaias Floodwaters
USGS Field Crews Document Isaias' Effects Along Atlantic Coast
USGS Field Crews Document Isaias' Effects Along Atlantic Coast
USGS Field Crews Document Isaias’ Effects Along Atlantic Coast
USGS Field Crews Document Isaias’ Effects Along Atlantic Coast
Publications
Labeling poststorm coastal imagery for machine learning: Measurement of interrater agreement
Classifying images using supervised machine learning (ML) relies on labeled training data—classes or text descriptions, for example, associated with each image. Data-driven models are only as good as the data used for training, and this points to the importance of high-quality labeled data for developing a ML model that has predictive skill. Labeling data is typically a time-consuming, manual proc
By
A survey of storm-induced seaward-transport features observed during the 2019 and 2020 hurricane seasons
Hurricanes are known to play a critical role in reshaping coastlines, but often only impacts on the open ocean coast are considered, ignoring seaward-directed forces and responses. The identification of subaerial evidence for storm-induced seaward transport is a critical step towards understanding its impact on coastal resiliency. The visual features, found in the National Oceanic and Atmospheric