u/RobUgCS

Only 56% of managed lodgepole pine in British Columbia's Lakes TSA still healthy after 24 years - new study used drone photogrammetry to validate growth model accuracy across 30 plots

A study just published in The Forestry Chronicle revisited 30 one-hectare plots in the Lakes Timber Supply Area that were originally established in 1997. The researchers (led by Alex Woods from BC Ministry of Forests) wanted to check whether managed lodgepole pine stands were actually growing the way the province's models predicted.

Short answer is not really.

Healthy tree proportion dropped from 74% to 56%. Comandra blister rust was the single biggest killer (42% of all mortality), but the combined impact of western gall rust, snow damage, stem defects, MPB, and competition actually did more total damage. And the province's standard growth model (TASS III) only came close to matching observed volumes when they updated both Site Index values and added disease mortality adjustments. Using the original 1997 inputs, the model significantly overestimated what was actually standing.

The methodology is interesting too. They used a consumer drone (Mavic 2 Pro) with terrain-following flight planning software (UgCS, made by our company) to capture imagery across all 30 plots, then built canopy height models to estimate volumes. The drone estimates correlated at 0.92 with hand-measured ground verification plots. It's a scalable approach for monitoring programs that need to cover a lot of area without doing full ground cruises at every site.

The bigger takeaway for anyone in BC forestry: growth and yield forecasts built on pre-beetle, pre-Dothistroma assumptions need serious recalibration if they're being used for timber supply planning.

Full case study: https://www.sphengineering.com/news/ugcs-terrain-following-uav-forest-inventory-british-columbia 

https://preview.redd.it/a8dojdaoza2h1.png?width=990&format=png&auto=webp&s=e7df0cbbb3450e5a49d255f321515eaac480ed6d

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u/RobUgCS — 1 day ago
▲ 20 r/remotesensing+2 crossposts

Consumer drone and terrain following produced 0.92 correlation with ground-truth timber volumes across 30 forest plots in British Columbia

Wanted to share a study that just came out in The Forestry Chronicle where UgCS (drone flight planning software) was part of the methodology.

Researchers from BC Ministry of Forests used a Mavic 2 Pro with UgCS terrain following to fly 30 one-hectare plots across the Lakes Timber Supply Area. The aim was to estimate current timber volumes in managed lodgepole pine stands, 24 years after initial establishment, and compare them to growth model predictions.

The terrain following was the critical piece. These are rolling interior BC sites, and they needed consistent 1.0-1.5 cm GSD across every plot for the canopy height models to work. UgCS adjusted flight altitude continuously using DEM data so the camera stayed at a constant height above ground. About 200 images per hectare, processed in Agisoft Metashape.

Results: 0.92 correlation between the UAV-derived volume estimates and hand-measured ground verification plots. That's from a $1,500 consumer drone with proper flight planning, not a $50k LiDAR rig.

The forestry findings were sobering too. Only 56% of lodgepole pine were still healthy (down from 74% in 1997), and BC's standard growth models only matched reality when they plugged in updated site productivity and disease mortality numbers. The original model inputs were way off.

Full case study with specs and methodology: https://www.sphengineering.com/news/ugcs-terrain-following-uav-forest-inventory-british-columbia 

Citation: Woods, A., McCulloch, L., Watts, M. and Di Lucca, M. (2026). Bridging the gap between forecast growth and realized loss in managed forests. The Forestry Chronicle, 102(1): 44-58.

u/RobUgCS — 1 day ago