Mapping Canopy-Forming Kelps in the Northeast Pacific: A Guidebook for Decision-Makers and Practitioners

10.21966/7ze4-x883

This guidebook provides an overview of optical remote sensing as it relates to mapping giant kelp and bull kelp. We describe optical remote sensing platforms and sensors pertinent to mapping and monitoring attributes of bull kelp and giant kelp beds - kelp presence/absence, density, species, and health. Recommendations found in this guidebook can also reasonably be applied to other floating, emergent canopy-forming kelp species (i.e. other kelp that float at the ocean’s surface). This guidebook provides monitoring guidance via infographics developed by an international community of kelp remote sensing experts. We illustrate a user-friendly framework based on the latest remote sensing science for matching a kelp monitoring objective(s) to the desired spatial scale and environmental setting. The goal of this guidebook is to help you, our reader, select the best remote sensing tools and data for your science and/or management directives related to kelp mapping. The guidebook is available in both English and Spanish.

Access and Use

Licence: Creative Commons Attribution-NonCommercial 4.0

Data and Resources

Citation

Keywords

Dataset extent

Metadata Reference Date(s) September 29, 2023 (Publication)
November 21, 2023 (Revision)
Data Reference Date(s) May 11, 2022 (Creation)
September 27, 2023 (Publication)
Frequency of Update As Needed

Responsible Party 1
Name
Reshitnyk, Luba ORCID logo
Affiliation
Hakai Institute ROR logo
Email
luba.reshitnyk@hakai.org
Role
  • Author
  • Custodian
  • Distributor
  • Owner
  • Point of Contact
Responsible Party 2
Name
Saccomanno, Vienna ORCID logo
Affiliation
The Nature Conservancy ROR logo
Email
v.r.saccomanno@tnc.org
Role
Author
Responsible Party 3
Name
Bell, Tom ORCID logo
Affiliation
Woods Hole Oceanographic Institution ROR logo
Email
tbell@whoi.edu
Role
Author
Responsible Party 4
Name
Cavanaugh, Kyle C.
Affiliation
University of California, Los Angeles ROR logo
Email
KCavanaugh@geog.ucla.edu
Role
Author
Responsible Party 5
Affiliation
Hakai Institute ROR logo
Email
data@hakai.org
Role
Publisher

Field Value
Ocean Variables Macroalgal canopy cover and composition
Scope Dataset
Status Completed
Topic Category oceans
Maintenance Note Generated from https://cioos-siooc.github.io/metadata-entry-form
Spatial Extent [[[-171.2, 55.45], [-151.0, 62.33], [-132.6, 61.34], [-133.0, 61.22], [-120.5, 47.26], [-106.4, 23.65], [-112.0, 21.38], [-138.4, 51.91], [-166.3, 50.7], [-182.6, 51.91], [-182.6, 51.91], [-171.2, 55.45]]]
North Bounding Latitude 21.38
South Bounding Latitude 62.33
East Bounding Longitude -106.4
West Bounding Longitude -182.6
Temporal Extent
Begin
2022-05-11
End
2022-05-11
Vertical Extent
Min
0.0
Max
0.0
Default Locale English
Citation identifier
Code
https://doi.org/10.21966/7ze4-x883
Projects
  1. Geospatial
  2. 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