USGS Field Crews Document Isaias' Effects Along Atlantic Coast

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

Authors

Evan B. Goldstein, Daniel D. Buscombe, Eli D. Lazarus, Somya Mohanty, Shah N. Rafique, K A Anarde, Andrew D Ashton, Tomas Beuzen, Katherine A. Castagno, Nicholas Cohn, Matthew P. Conlin, Ashley Ellenson, Megan Gillen, Paige A. Hovenga, Jin-Si R. Over, Rose V. Palermo, Katherine Ratlif, Ian R Reeves, Lily H. Sanborn, Jessamin A. Straub, Luke A. Taylor, Elizabeth J. Wallace, Jonathan Warrick, Phillipe Alan Wernette, Hannah E Williams

Ecosystems Mission Area, Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, Southwest Biological Science Center, Woods Hole Coastal and Marine Science Center, Hurricane Florence, Hurricane Isaias, Hurricane Michael, Hurricanes

June 1, 2021

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

Authors

Jin-Si R. Over, Jenna A. Brown, Christopher R. Sherwood, Christie Hegermiller, Phillipe Alan Wernette, Andrew C. Ritchie, Jonathan Warrick

Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, Woods Hole Coastal and Marine Science Center, Hurricane Delta, Hurricane Dorian, Hurricane Isaias, Hurricane Laura, Hurricanes

USGS Field Crews Document Isaias' Effects Along Atlantic Coast

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

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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

Publications

Labeling poststorm coastal imagery for machine learning: Measurement of interrater agreement

A survey of storm-induced seaward-transport features observed during the 2019 and 2020 hurricane seasons

U.S. Geological Survey

U.S. Department of the Interior