Mudge Island and Link Island in British Columbia's southern Gulf Islands are the focus of this study on above-ground biomass (AGB) change from 2019 to 2024. Author Shangcheng Li combined PlanetScope imagery, Lidar point clouds, and stand-level inventory data to classify land cover and model AGB. The resulting biomass prediction model had an adjusted R² of 0.657 and was statistically significant (p = 0.005).
Use Cases
- Modeling above-ground biomass based on Lidar-derived canopy structure metrics.
- Analyzing land-cover transition patterns from supervised classification of PlanetScope imagery.
- Assessing the correlation between stable forest cover and positive biomass change.
- Developing statistical frameworks for detecting ecological change by integrating land-cover mapping with Lidar data.
Strengths
- The biomass prediction model explained a substantial proportion of variation with an adjusted R² of 0.657.
- The study integrates multi-source spatial data, including PlanetScope imagery, Lidar point clouds, and stand-level inventory.
- The analysis covers a five-year time span from 2019 to 2024.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The description notes stand-level agreement between predicted and observed biomass change remained uncertain.
Provenance
- Source
- Borealis Harvested Dataverse
- Collection Method
- A multi-source spatial approach combining PlanetScope imagery, Lidar point cloud data, and stand-level inventory information.
- Time Range
- 2019 to 2024
- Freshness
- Last updated 2026-05-02 04:11:03; freshness should be verified.
- Geography
- Mudge Island and Link Island, southern Gulf Islands, British Columbia, Canada