New paper in Forestry: National remote sensing-derived aboveground biomass yield curves for Canada
doi.org/10.1093/forestry/cpaf067

With @txominhermos.bsky.social , S. Baral, @mikewulder.bsky.social , and J. White - using four decades of satellite data to model forest growth across Canada.

Just wrapped up an inspiring week at SilviLaser 2025.
It was a real pleasure to attend, and an honor to deliver the keynote.

Conferences like Silvilaser remind me why I love working in forestry and remote sensing - not just for the science, but also for the people.

Only a pre-print for now, but after 4 years of hard work I couldn't resist sharing this!

The Global Canopy Atlas: analysis-ready maps of 3D structure for the world's woody ecosystems

📜: doi.org/10.1101/2025...

Huge team effort led by the brilliant Fabian Fischer!

#Silvilaser2025 is coming up in 3 weeks!

We're getting excited so we wanted to remind you of our ✨3 keynote speakers✨

To read more about them visit 👉 www.silvilaser2025.com/speakers

Which talk are you most looking forward to?!

#remotesensing #laserscanning #forestmanagement #foresters

🌟Meet #Silvilaser2025 Keynote Speakers!🌟

1/3: Dr Piotr Tompalski (@piotrtompalski.bsky.social) is a Research Scientist with the Canadian Forest Service using #LiDAR, #photogrammetry & #SatelliteData to enhance carbon monitoring & forest growth modeling 🌲📡

📆 Early bird registration opens May 1st!

🌲 Excited to share our latest work on Enhanced Forest Inventories (EFI) in Canada! 🌲

We take a close look at how EFI is being implemented across Canada's provinces & territories. We also summarize the extent of ALS acquired across Canada, with maps and tables (and an animation ⬆️).

Yesterday we celebrated the IRSS Twin Day! 👯‍♀️👯‍♂️

*10 YEARS* of capturing every time IRSS lab members dressed the same! (it happens more often than you'd think 😜)

Huge thanks to @piotrtompalski.bsky.social
for starting - and maintaining - this epic photo album throughout the years 🫶

Hey there @bsky.app!

Please join us for #SilviLaser2025 for a great conference on cutting-edge technology in laser scanning and forestry 🛰️🌲

🚩 Quebec City
📅 Sept 29 - Oct 3, 2025
📃 Abstracts due Feb 28. 2025

Learn more at silvilaser2025.com! 🌍
Please like and share this with your networks! 🙏

Great review paper on forest carbon + lidar!

New paper! 📣

Advances in #LaserScanning to Assess Carbon in #Forests: From Ground-Based to Space-Based Sensors
👉 see thread for more!

#OpenAccess🔓: doi.org/10.1007/s407...
✍️ Coops, Irwin, Seely & Hardy
🙏 #NSERC

@forestry.ubc.ca #RemoteSensing #ForestCarbon #Lidar #Drones #Salitte #Aircraft

If you're using the `lidR` package and looking to expand your point cloud analysis capabilities, the **lidRmetrics** package might be worth exploring. It offers a variety of additional metrics designed to provide a more detailed characterization of forest structure
ptompalski.github.io/lidRmetrics/

NEW PAPER 📢 Detection of disturbances using Harmonized #Landsat #Sentinel2 time series

#OpenAccess🔓: doi.org/10.1016/j.is...
✍️ Brown, Coops, Mulverhill, Achim
💰 NSERC, #Silva21

#UBCForestry #remotesensing #forestdisturbances

the {anytime} R package is my new favorite when it comes to converting text to dates. Super easy to use and works even if dates have some weird formatting!
eddelbuettel.github.io/anytime/

#R #Rstats

@mikewulder.bsky.social @txominhermos.bsky.social

NEW PAPER📢 Seasonal vegetation dynamics for phenotype using multispectral #drone imagery: differentiation, #ClimateAdaptation & hybridization of #InteriorSpruce

🔓#OpenAccess: doi.org/10.1016/j.rs...
✍️Grubinger, Coops, O'Neill, Degner, Wang, Waite, Riofrio, Koch
🙏 NSERC

#UBCforestry #remotesensing

In my work, I often develop many models and need to assess their accuracy. To make my life easier, I built scatter, a small R package for—well, scatterplots!

The plots:
- Include R², bias, RMSE
- Integrate with tidyverse pipe
- Use facets for grouped data

github.com/ptompalski/s...

#Rstats

hellooooo!!!! re-joining the social media game! Here to share my research and probably overthink every post along the way