LIDAR Derived Forest Metrics - Calvert Island - British Columbia - Canada

10.21966/MQ9T-BW79

72 LIDAR Derived Forest Metrics - Calvert Island - 20 Meter Spatial Resolution

LIDAR forest metrics have been developed for the Calvert Island region. The data are in 20 meter resolution and detail a number of variables about the vegetation layer above the bare earth model. Forest metrics have been grouped to show major statistical themes such as gap fraction, stem height, and density. The information is valuable for classifying forest structure and better understanding ecosystem dynamics.

LIDAR Forest Metrics Produced by GWF LiDAR Analytics A full list of derived forest metrics produced by G.W. Frazer is listed at the end of this abstract.

LIDAR flights conducted in 2012 and 2014 covered all of Calvert and Hecate Island. Flights were completed in August of 2012 (Terra Remote Sensing) and August of 2014 (Brian Menounos UNBC).

Area-based canopy height and density metrics are derived directly from a height-normalized LAS point cloud using proprietary software developed by G.W. Frazer (note: Fusion and LASTools are respectively open-source and commercial software that can be used to extract various area-based canopy metrics). These gridded products (approximately 55 bands) have a user-defined 20 m spatial resolution and include (i) height-based statistics (e.g., min., max., mean, moments, percentiles), (ii) density-based statistics (i.e., gap fraction, canopy cover at fractional and absolute heights above the ground surface), and (iii) diagnostic information (e.g., number of laser points in each cell, number of laser points classified as ground, number of points above a specific height threshold, etc.). Area-based canopy metrics are used to characterize the three-dimensional (3-D) structure of the vegetation canopies.

List of LiDAR-Derived Canopy Height, Canopy Density, and Stem Metric Categories: (Based on G.W. Frazer LiDAR Metrics for Calvert / Hecate Island Acquisition 2012 / 2014 metadata document.) Canopy Height Metrics
Canopy Density Metrics
Percentiles of Laser Canopy Height (LHQ) Bands
Canopy Density at Fractional Canopy Heights (CCF) Bands
Diagnostic Bands
Tree-Top Bands

For a full metadata report on LiDAR acquisition 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) March 29, 2022 (Publication)
March 20, 2024 (Revision)
Data Reference Date(s) February 21, 2016 (Publication)
Frequency of Update As Needed

Responsible Party 1
Name
Frazer, G.W.
Affiliation
Hakai Institute ROR logo
Email
data@hakai.org
Role
  • Author
  • Point of Contact
  • Processor
  • Editor
Responsible Party 2
Name
Geospatial Technology Team Hakai
Affiliation
Hakai Institute ROR logo
Email
data@hakai.org
Role
  • Author
  • Custodian
  • Distributor
  • Owner
  • Point of Contact
  • Principal Investigator
Responsible Party 3
Affiliation
Hakai Institute ROR logo
Email
data@hakai.org
Role
Publisher
Responsible Party 4
Affiliation
Tula Foundation ROR logo
Role
Funder

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 [[[-128.21777349337933, 51.412912129355306], [-127.82775884494184, 51.412912129355306], [-127.82775884494184, 51.74403752566786], [-128.21777349337933, 51.74403752566786], [-128.21777349337933, 51.412912129355306]]]
North Bounding Latitude 51.74403752566786
South Bounding Latitude 51.412912129355306
East Bounding Longitude -127.82775884494184
West Bounding Longitude -128.21777349337933
Vertical Extent
Min
0.0
Max
1014.0
Default Locale English
Citation identifier
Code
https://doi.org/10.21966/MQ9T-BW79
Projects
  1. Airborne Coastal Observatory
Included in Data Catalogue
Included in Data Catalogue 1
Name
Hakai Data Catalogue
Description
Science on the Coastal Margin
URL
https://catalogue.hakai.org