Bamfield Region UAV Imagery and Surface Model Data

Bamfield UAV Data Capture April 9 & 10th 2016. Hakai Institute: Iain McKechnie, Will McInnes, and Keith Holmes.

The Hakai Institute in partnership with the Bamfield Marine Science Centre (BMSC) have conducted UAV (unmanned aerial vehicle) missions in five locations around Bamfield, British Columbia, Canada. The missions took place April 9th and 10th, 2016. The main goal was to collect high spatial resolution imagery and surface models of key research areas for BMSC researchers. All UAV flights and data processing has been completed by the Hakai Institute and the aim is to collaborate research efforts to enhance the spatial knowledge of these key research areas.

The low tide windows between 8:30 and 11:30 am on April 9th and 10th provided imagery with tides of .5 meters or less and image resolutions of between 3cm and 10cm. Weather was mixed and we had to improvise flights to compensate for low level clouds and fog. In the end we were able to accomplish all our major target areas. Data products that can be generated are the following:

High resolution imagery mosaics Digital surface models LAS point cloud data 3D mesh data Raw imagery and video footage Georeferencing points and 2 survey markers for Diana Island

Methodology: 1) Georeferencing targets were distributed throughout the image capture area. Targets are checkered black and white and 60cm x 60cm.

2) Phantom 3 Pro UAVs were used for all imagery acquisition. Flights were conducted with a grid pattern with greater than 50% overlap in imagery. Small area flights required less images like Wizard with 237 images processed and larger areas like Grappler requiring 504 images. Flights take roughly 15 minutes to conduct and cover up to 1.5 x 1.5 km in a single flight. Full specs for image capture are listed below.

3) After the flights are conducted the field team inspects the survey coverage using the DJI GO applicaton map. Once they are satisfied a georeferencing mission starts. Georeferencing requires the use of a Topcon DGPS GR5 survey grade GPS system. Targets placed before the flight and opportunistic targets (discussed later) are referenced to within 10 cm horizontal / 15 cm vertical resolution. DGPS soaking is used to enhance accuracy which takes anywhere from 15 seconds to 3 minutes to achieve acceptable levels of variance. Many of the targets achieved well below these numbers. It is essential that the targets are well dispersed. If some areas have not been covered well with targets or there was limited time pre flight to dispense targets opportunistic targets are used. Opportunistic targets are large stationary objects that are close to the ground and can easily be identified in imagery. Often driftwood or geographic features like large rocks or fissures are ideal in the field if no man made structures like cement pads are available.

4) Image processing is conducted using Pix4D software. Images are first inspected for quality (remove high glare or poor contrast images) and then the full data process takes place which includes a flight report, ray cloud / image tie points, triangulated mesh, mosaic and surface model.

5) Image mosaics and digital surface models are then processed in ArcGIS Desktop. Survey DGPS points from the field are used to link up the targets and a sline correction method is used because it assumes we have highly accurate survey data to correct the imagery with. The georeferencing pins are saved and processed again with the accompanying surface model. The final datasets are then exported to our servers for archiving.

Access and Use

Licence: Creative Commons Attribution 4.0
Limitations: Appropriate credit must be given to Hakai Institute and the authors of the dataset.

Data and Resources

Citation

Keywords

Dataset extent

Metadata Reference Date(s) March 15, 2022 (Publication)
March 15, 2024 (Revision)
Data Reference Date(s) March 26, 2016 (Publication)
March 27, 2016 (Revision)
Frequency of Update As Needed

Responsible Party 1
Name
Hakai Geospatial Technology Team
Affiliation
Hakai Institute ROR logo
Email
data@hakai.org
Role
  • Author
  • Custodian
  • Distributor
  • Originator
  • Owner
  • Point of Contact
  • Principal Investigator
  • Processor
  • Publisher
  • Editor
Responsible Party 2
Name
Holmes, Keith
Affiliation
Hakai Institute
Email
data@hakai.org
Role
  • Author
  • Custodian
  • Originator
  • Point of Contact
  • Principal Investigator
  • Processor
  • Publisher
  • Editor
Responsible Party 3
Name
McInnes, Will
Affiliation
Hakai Institute ROR logo
Role
  • Author
  • Originator
  • Point of Contact
  • Principal Investigator
  • Processor
  • Publisher
  • Editor
Responsible Party 4
Affiliation
Tula Foundation ROR logo
Role
Funder
Responsible Party 5
Affiliation
Hakai Institute ROR logo
Email
data@hakai.org
Role
  • Distributor
  • Publisher
  • Resource Provider

Field Value
Ocean Variables Other
Scope Dataset
Status Completed
Topic Category oceans
Maintenance Note Generated from https://cioos-siooc.github.io/metadata-entry-form
Spatial Extent [[[-125.1957321166992, 48.808898428995235], [-125.10440826416014, 48.808898428995235], [-125.10440826416014, 48.86471476180279], [-125.1957321166992, 48.86471476180279], [-125.1957321166992, 48.808898428995235]]]
North Bounding Latitude 48.86471476180279
South Bounding Latitude 48.808898428995235
East Bounding Longitude -125.10440826416014
West Bounding Longitude -125.1957321166992
Vertical Extent
Min
0.0
Max
0.0
Default Locale English
Projects
  1. Geospatial
Included in Data Catalogue
Included in Data Catalogue 1
Name
Hakai Data Catalogue
Description
Science on the Coastal Margin
URL
https://catalogue.hakai.org