Kelp and Seagrass Mapping – 2022 – Hakai Airborne Coastal Observatory

10.21966/8wbr-vk04

The Airborne Coastal Observatory (ACO) is a collaborative program led by the Hakai Institute along with partners the University of Northern British Columbia. The ACO program offers rapid and accurate aerial observations of both terrestrial and marine ecosystems, from Icefields to Oceans, and applied across multiple scientific disciplines. Data is collected by a Piper Navajo aircraft equipped with an array of integrated Earth imaging systems and technology, including: 1) A Riegl VQ-780 airborne laser scanner; 2. Two PhaseOne iXU-RS 1000 digital medium format cameras; 3. Specim AisaFENIX Imaging Spectrometer; 4. Applanix Inertial Navigation System. All data is processed and maintained by the Hakai Geospatial Technology team. The aircraft is provided and maintained by Kisik Aerial Surveys Inc. (Delta, BC).

The Hakai Institute Marine Habitat Mapping Program is focused on documenting the spatial changes and drivers in coastal marine ecosystems (kelp and eelgrass) at various spatial scales in British Columbia (local, regional and coast-wide). To study regional scale trends we are developing and refining methods for mapping species-specific kelp extent and biomass using high-resolution aerial imagery to inform the long-term collection of kelp distribution in British Columbia. Canopy-forming kelps are a critical component of many nearshore marine ecosystems, including those of British Columbia. The canopy kelps Nereocystis luetkeana (bull kelp) and Macrocystis pyrifera (giant kelp) form complex, three-dimensional habitat that supports a diversity of fish, invertebrates and marine mammals. Canopy kelps are also amongst the most productive primary producers on the planet, serving as an important source of carbon to coastal food webs. Like many other kelp species, canopy-forming kelps show high seasonal and interannual variability as their recruitment, growth and survival are influenced by a number of abiotic (e.g. temperature, salinity, nutrients, light) and biotic (e.g. grazing, intraspecific competition) drivers. As a result, kelp populations are expected to change in response to shifts in underlying environmental conditions associated with climate change. They may also shift in response to changes in the biotic community (e.g. sea otter recovery, sea star wasting disease) or human activities (e.g. sea urchin harvest, kelp harvest). Surveys conducted by the Hakai ACO are targeted to collect imagery during summer low tides when kelp biomass is at its highest. Low tide imagery is also necessary for mapping other nearshore habitats such as eelgrass. The high resolution of the aerial cameras permit the discrimination of different kelp species.

For more information on post processing, data quality assurance, software used, and summary of results please contact data@hakai.org

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) August 24, 2023 (Publication)
December 05, 2024 (Revision)
Data Reference Date(s) July 29, 2022 (Creation)
November 30, 2022 (Publication)
Frequency of Update As Needed

Responsible Party 1
Affiliation
Hakai Institute ROR logo
Email
data@hakai.org
Role
Publisher
Responsible Party 2
Name
Hakai Geospatial
Affiliation
Hakai Institute ROR logo
Email
data@hakai.org
Role
  • Author
  • Custodian
  • Distributor
  • Owner
  • Point of Contact
  • Principal Investigator
  • Processor

Field Value
Ocean Variables
  • Seagrass cover and composition
  • Macroalgal canopy cover and composition
Scope Dataset
Status Completed
Topic Category oceans
Maintenance Note Generated from https://hakaiinstitute.github.io/hakai-metadata-entry-form#/en/hakai/RvRPlFMSsIaBwoGdQIq5BVYfBBa2/-NM17eClIayI651ZLazJ
Spatial Extent { "coordinates": [ [ [ -128.6, 51.59 ], [ -128.0, 51.59 ], [ -128.0, 52.1 ], [ -128.6, 52.1 ], [ -128.6, 51.59 ] ] ], "type": "Polygon" }
North Bounding Latitude 52.1
South Bounding Latitude 51.59
East Bounding Longitude -128.0
West Bounding Longitude -128.6
Temporal Extent
Begin
2022-07-29
End
2022-08-26
Vertical Extent
Min
0.0
Max
10.0
Default Locale English
Citation identifier
Code
https://doi.org/10.21966/8wbr-vk04
Projects
  1. Geospatial
  2. Airborne Coastal Observatory
  3. Nearshore
Included in Data Catalogue
Included in Data Catalogue 1
Name
Hakai Data Catalogue
Description
Science on the Coastal Margin
URL
https://catalogue.hakai.org