UAS-SfM for Coastal Research: Geomorphic Feature Extraction and Land Cover Classification from High-Resolution Elevation and Optical Imagery

Dates

Publication Date

2017-10-03

Citation

Sturdivant, E.J., Lentz, E.E., Thieler, E.R., Farris, A.S., Weber, K.M., Remsen, D.P., Miner, S., Henderson, R.E., 2017, UAS-SfM for Coastal Research: Geomorphic Feature Extraction and Land Cover Classification from High-Resolution Elevation and Optical Imagery. Remote Sens. 2017, 9, 1020.

Contacts

Author :

Emily J Sturdivant, Erika Lentz, E. Robert Thieler, Amy S. Farris, Kathryn M Weber, David P. Remsen, Simon Miner, Rachel E Henderson

Attached Files

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Related External Resources

Type: Web Link

Remote Sensing

http://www.mdpi.com/2072-4292/9/10/1020

Communities

• National and Regional Climate Adaptation Science Centers
• Northeast CASC

Associated Items

• product of Mapping Coastal Change Using Unmanned Aerial Systems: A Pilot Study
• View Associated Items

Tags

Other

• coastal change
• drones
• elevation model
• geomorphic feature extraction
• land cover classification
• photogrammetry
• structure-from-motion
• unmanned aerial system

Organization

• Northeast CASC

Water, Coasts and Ice

• Sea-Level Rise and Coasts

Science Themes

• Water, Coasts and Ice

Provenance

Data source

Input directly

Additional Information

Identifiers

Type	Scheme	Key
DOI	https://www.sciencebase.gov/vocab/category/item/identifier	https://doi.org/10.3390/rs9101020