Data from: UAS-based monitoring of coastal wetlands: Considerations and tradeoffs

• This study addresses variability introduced by common UAS study techniques and forms recommendations for optimal survey designs in vegetated coastal habitats. Applying these parameters, we assess alignment of computed estimations with manually collected measurements by comparing UAS-SfM mapping products to ground-based data. This study demonstrates that, with careful consideration in study design and analysis, there exists great potential for UAS to provide accurate, large-scale estimates of common vegetative characteristics in coastal salt marshes.

Total Size

3 files (8.6 GB)

Data Citation

• DiGiacomo, A. E., Giannelli, R., Smith, E., Ridge, J. T., & Davis, J. (2022). Data from: UAS-based monitoring of coastal wetlands: Considerations and tradeoffs. Duke Research Data Repository. https://doi.org/10.7924/r4sb46t2c

Creator

• Giannelli, Ryan
• Smith, Erik
• Ridge, Justin T
• Davis, Jenny
• Puckett, Brandon
• DiGiacomo, Alexandra E

DOI

• 10.7924/r4sb46t2c

Subject

• Coastal monitoring
• Vegetation monitoring
• Salt marsh ecology
• Unoccupied aircraft systems
• Biomass

Publication Date

• April 18, 2022

ARK

• ark:/87924/r4sb46t2c

Affiliation

• North Carolina National Estuarine Research Reserve
• North Inlet Winyah Bay National Estuarine Research Reserve and University of South Carolina Baruch Institute, Georgetown, South Carolina, USA
• Duke University Marine Laboratory
• Consolidated Safety Services Inc., for National Oceanic and Atmospheric Administration, Fairfax, VA, United States
• Nicholas School of the Environment
• National Centers for Coastal Ocean Science
• Marine Science and Conservation

Publisher

• Duke Research Data Repository

Collection Dates

• September 2020 - February 2021

Location

• Central Coast
• East Coast

Language

• English

Type

• Dataset

Format

• TIF

Related Materials

• DiGiacomo AE, Giannelli R, Puckett B, Smith E, Ridge JT and Davis J (2022), Considerations and tradeoffs of UASbased coastal wetland monitoring in the Southeastern United States. Front. Remote Sens. 3:924969. doi: 10.3389/frsen.2022.924969;  https://doi.org/10.3389/frsen.2022.924969

Funding Agency

• NOAA Office of Oceanic and Atmospheric Research

Grant Number

• W8KSCXR

Contact

• Alexandra Eva DiGiacomoalexandra.digiacomo@stanford.edu Orcid ID: 0000-0002-6375-6070

License

• Creative Commons CC0 1.0 Universal

Title

• Data from: UAS-based monitoring of coastal wetlands: Considerations and tradeoffs

License

• http://creativecommons.org/publicdomain/zero/1.0/

Repository

• Duke Research Data Repository

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	NC.zip	2022-04-18	Public	Get file from Globus
	NIWB.zip	2022-04-18	Public	Get file from Globus
	ADigiacomoEtAl_ReadMe.txt	2022-04-18	Public	Download