I'm Piotr, a research scientist with the Canadian Forest Service, specializing in remote sensing applications in forestry. My work focuses on developing next-generation tools and models to understand how Canada’s forests grow and change, using lidar, Landsat time series, and large-scale geospatial analytics. R is my primary programming language of choice.
A major part of my current work focuses on Remote-Sensing Yield Curves (RSYC) - aboveground biomass yield curves developed for Canada, using a time series of satellite data.
📦 RSYC package: https://github.com/ptompalski/RSYC
I maintain a national-scale map showing airborne lidar acquisitions across Canada - an evolving resource supporting forest inventory, growth modeling, and remote-sensing research.
🗺️ Canada Forest Lidar Coverage: https://ptompalski.github.io/CanadaForestLidarCoverage/
- lidRmetrics - a companion to the fantastic {lidR} package, offering several metrics_* functions to simplify lidar processing routines.
- LidarSpeedTests - testing and comparing runtimes of various point cloud processing tools.
- CTAE - a collection of tools for calculating tree- or stand-level attributes developed for Canadian forests.
- MISTR - implementation of Ontario's Modelling and Inventory Support Tool (MIST). A set of models used for growth and yield analysis.
Feel free to reach out if you have any questions or suggestions for collaboration!