Title: Open Drone Map: Structure-from-Motion Workflow
	DOI: 10.7923/92hf-gp09

Description/Abstract:
	This document shows a workflow to complete image processing and photogrammetry, also known as structure-from-motion. To process our projects, we used the WebODM versions 2.8.4 to 2.8.8 Native Windows Application. The first part of the workflow follows the flow for an RGB sensor to extract products such as an orthomosaic, digital elevation model, and 3-dimensional point cloud. The workflow assumes the use of ground control points collected in the field and visible in the imagery, which allows for an accurate geographical spatial reference. The second section covers multispectral sensor data, including how the processing differs from the RGB workflow. 

	The third section has all the Plant Health Options available in post-processing in WebODM, such as Normalized Difference Vegetation Index (NDVI) and Green Leaf Index (GLI), to name a couple. Finally, the last two sections have additional resources that have been gathered to assist in troubleshooting and some WebODM Community Pages that have been useful in sorting out some issues along the way.

	**Data Use**:
	*License*: [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/)
	*Recommended Citation*: Marie, V., Zaiats, A., Wickersham, R., & Caughlin, T. T. (2023). Open Drone Map: Structure-from-Motion Workflow (Version 1.0). University of Idaho. https://doi.org/10.7923/92HF-GP09

	**Funding**:
	US National Science Foundation Idaho EPSCoR, Award: OIA-1757324
	US National Science Foundation, Award: BIO-2207158
	National Aeronautics and Space Administration, Award: 80NSSC21K1638

Resource URL: https://data.nkn.uidaho.edu/dataset/open-drone-map-structure-motion-workflow

Creator(s):	
	1. Valorie Marie 
		Unique identifier: https://orcid.org/0000-0003-3051-4312
		Affiliation(s): Boise State University
	2. Andrii Zaiats
		Unique Identifier: https://orcid.org/0000-0001-8978-4152
		Affiliation(s): Boise State University 
	3. Ryan Wickersham
		Unique identifier: https://orcid.org/0000-0001-6957-8706
		Affiliation(s): Boise State University
	4. Trevor Caughlin 
		Unique identifier: https://orcid.org/0000-0001-6752-2055
		Affiliation(s):	Boise State University

Other Contributor(s): 
	1. Trevor Caughlin
		Unique identifier: https://orcid.org/0000-0001-6752-2055
		Affiliation(s): Boise State University
		Role: 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: 2023
	
Language(s): American English

Subject(s):
	2 Engineering and Technology
		2.7 Environmental Engineering
			Remote Sensing

Keywords/Tags: drones, unoccupied aerial systems (UAS), UAV, structure-from-motion, raster, multispectral, RGB, orthomosaic, point cloud

Resource Type General: Workflow
		
Dates: NULL

Date available for the public: 2023-04-13 

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

Funding References: 
	National Science Foundation Idaho EPSCoR
		OIA-1757324
		RII Track-1: Linking Genome to Phenome to Predict Adaptive Responses of Organisms to Changing Landscapes
		https://www.nsf.gov/awardsearch/showAward?AWD_ID=1757324
	National Science Foundation
		BIO-2207158
		EAGER: Scaling Up Plant Demographic Rates with Imagery from Unoccupied Aerial Systems
		https://www.nsf.gov/awardsearch/showAward?AWD_ID=2207158
	National Aeronautics and Space Administration
		80NSSC21K1638
		Integrating UAS, Landsat, and ECOSTRESS to fit landscape-level demographic models for climate-resilient ecological restoration
 
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: 
	OpenDroneMap | https://docs.opendronemap.org/

Data/Code Files:
	readme.txt
	WebODM_Workflow_v1.0.pdf