Dataset Title: Agisoft Structure-from-motion Protocols
	DOI: 10.7923/AGPV-0C43

Data/Code Files: PDF guide for UAS image processing.

Description/Abstract: 
	This workflow was developed with the intent of creating high quality and high resolution 3D models of sagebrush sites from drone imagery. Throughout the process of testing this workflow, we used RGB imagery from a Mavic 2 Pro. The image resolution ranges from .7-1.1cm/pix. The imagery was collected with a crossgrid pattern and high forward/side lap (~70/80%). We recommend that this document be used as a guide and reference. Please note that we cannot guarantee product outcomes because of the inherent variability of sites and drone data collection. 

	**Data Use**:
	*License*:  CC-BY https://creativecommons.org/licenses/by/4.0/legalcode
    *Recommended Citation*: Roser, A., Marie, V., Olsoy, P., Delparte, D., & Caughlin, T. T. (2022). Agisoft Structure-from-motion Protocols (Version 1.0) [Data set]. University of Idaho. https://doi.org/10.7923/AGPV-0C43

Resource URL: https://data.nkn.uidaho.edu/dataset/agisoft-structure-motion-protocols

Creator(s):	
	1. Anna Roser
		Unique identifier: https://orcid.org/0000-0002-5184-2916
		Affiliation(s): Boise State University
	2. Valorie Marie 
		Unique identifier: https://orcid.org/0000-0003-3051-4312 
		Affiliation(s):Boise State University
	3. Peter Olsoy
		Unique identifier: https://orcid.org/0000-0002-8785-0459
		Affiliation(s):Boise State University, Idaho National Laboratory, Idaho State University, Washington State University
	4. Donna Delparte
		Unique identifier: https://orcid.org/0000-0002-9107-5117
		Affiliation(s):Idaho State University
	5. Trevor Caughlin 
		Unique identifier: https://orcid.org/0000-0001-6752-2055
		Affiliation(s):	Boise State University, Fulbright Association, New College of Florida, University of Florida
	
Other Contributor(s): 
	1. Trevor Caughlin 
		Unique identifier: https://orcid.org/0000-0001-6752-2055
		Affiliation(s): Boise State University, Fulbright Association, New College of Florida, University of Florida
		Role: Contact person and Project leader

	2. Andrew Wright Child
		Unique identifier: https://orcid.org/0000-0001-6666-0739
		Affiliation(s): University of Idaho
		Role: Data manager
	
Publisher: University of Idaho

Publication Year: 2022
	
Language(s): American English

Subject(s): 
	2 Engineering and technology
		2.7 Environmental engineering
			Remote Sensing, UAS, Drones, Structure-from-motion

Keywords/Tags: drones, uas, uav, structure-from-motion, raster, point cloud, computer vision

Resource Type General: Dataset
		
Date available for the public: 2022-06-27 

Sizes: 1.4MB
	 
Format(s): .pdf
 
Version:  1.0

Funding References: 
	National Science Foundation Idaho EPSCoR
		Award: OIA-1757324
		Title: RII Track-1: Linking Genome to Phenome to Predict Adaptive Responses of Organisms to Changing Landscapes
		URL: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1757324
	National Science Foundation
		Award: BIO-2207158
		Title: EAGER: Scaling Up Plant Demographic Rates with Imagery from Unoccupied Aerial Systems
		URL: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2207158&HistoricalAwards=false
 
Spatial/Geographical Coverage Location: NULL

Temporal Coverage: NULL
	 
Granularity of the Data: NULL
 
Contact Info: 
	Contact Name: Trevor Caughlin
	Contact Email: trevorcaughlin@boisestate.edu
 
Related Content: NULL