Data · dataset · 2026
Airborne Laser Scanning (ALS) Metrics for the Remote Estimation of Forest Characteristics on Mudge Island, Southern Gulf Islands, British Columbia (BC), Canada
Listed in Borealis
Airborne Laser Scanning (ALS) is an active remote sensing technology from which highly precise measurements of object locations can be derived.
Description
This study builds upon emerging literature suggesting ALS as a viable standalone data source for estimating forest characteristics by demonstrating methodology on the Coastal Douglas-fir-dominated forests of Mudge Island, British Columbia (BC), Canada. Pixel metrics for canopy height, heterogeneity, and vertical structure were extracted from a single ALS acquisition via the lidR and lidRmetrics packages in the R programming language.
Metric correlation and dispersion were investigated, and smoothed metric quartiles were mapped to denote forest stands. Landcover extraction found 70.38% of Mudge Island to be forested by area. Metric dispersion suggests Mudge Island is dominated by highly homogeneous even-aged conifer stands.
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A trend towards a canopy relief ratio (CRR) greater than 0.50 indicates a full crown and little shrubbery or debris on the ground, a trait characteristic of middle-aged to mature conifer forests. Results align with field observations and air photo interpretations of Mudge Island, positing ALS metrics as a viable initial analysis for the remote estimation of forest characteristics. Future studies should employ data fusion and/or additional methods to refine the workflow herein presented and confirm findings with field validation techniques.
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP3%2FBLGJRD ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp3/blgjrd ↗
DOI / persistent id · from borealisdata ca
Catalogue records · 1
- Dataverse API borealisdata.ca/api/datasets/:persistentId/?persistentId=doi%3A10.5683%2FSP3%2… ↗
metadata API · from borealisdata ca
Topics
- Stated by source
- Earth and Environmental Sciences
- From keywords
- Earth & Environmental Science
- Inferred from text
- Physical geography and environmental geoscience 69% · Satellite remote sensing 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Borealis | doi:10.5683/SP3/BLGJRD | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3709 | enrichment · borealisdata ca | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[modality].local:modality:remote-sensing | enrichment · borealisdata ca | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| description | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /description |
| publication_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| title | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /name |
| updated_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| version_label | source · borealisdata ca | connector:borealisdata_ca@1.0.0 |