This ADiGiacomoEtAl_ReadMe.txt file was generated on 2022-04-17 by Alexandra DiGiacomo


GENERAL INFORMATION

1. Title of Dataset: Data from: UAS-based Monitoring of Coastal Wetlands: Considerations and Tradeoffs

2. Author Information
	A. Principal Investigator Contact Information
		Name: Alexandra Eva DiGiacomo
		Institution: Stanford University, Duke University Marine Labortory
		ORCID: 0000-0002-6375-6070
		Email: alexandra.digiacomo@stanford.edu 

	B. Associate or Co-investigator Contact Information
		Name: Jenny Davis
		Institution: National Oceanic and Atmospheric Administration (NOAA)
		ORCID: 
		Email: jenny.davis@noaa.gov

	C. Alternate Contact Information
		Name: Justin T. Ridge
		Institution: Duke University Marine Laboratory
		ORCID: 0000-0001-9744-4588
		Email: justin.ridge@duke.edu

3. Date of data collection (single date, range, approximate date) <suggested format YYYY-MM-DD>: September 2020 - February 2021

4. Geographic location of data collection <latitude, longitude, or city/region, State, Country, as appropriate>: North Carolina National Estuarine Research Reserve, North Carolina, USA; North Inlet-Winyah Bay National Estuarine Research Reserve, South Carolina, USA

5. Information about funding sources that supported the collection of the data: NOAA Office of Oceanic and Atmospheric Research (W8KSCXR)


SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: CCO Waiver

2. Recommended citation for this dataset: 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

DATA & FILE OVERVIEW

1. File List: 

folders: 
/NC: data collected at the North Carolina National Estuarine Research Reserve field site
/NIWB: data collected at the North Inlet-Winyah Bay National Estuarine Research Reserve field site
/metashape: products generated using Agisoft Metashape UAS-SfM software
/pix4d: products generated using Pix4D UAS-SfM software
file naming convention: [UAS-SfM software]_[YYMMDD of data collection]_[light altitude (m)]_[spectral band(s) or indices represented]
example: metashape_200914_NC_50m_NDVI, composite index generated in Agisoft Metashape from imagery collected on 09/14/2020 at North Carolina National Estuarine Research Reserve at 50m flight altitude representing the Normalized Difference Vegetation Index (NDVI)


METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 
UAS flights were performed to collect overlapping optical (RGB) and multispectral imagery at field sites. 

2. Methods for processing the data: 
The specified Structure-from-Motion software was used to mosaic imagery into the continuous rasters hosted in this dataset.

3. Instrument- or software-specific information needed to interpret the data: 
Agisoft Metashape (v.1.6.1); Pix4DMapper (v. 4.6.4)