Research Domain

Areas of Interest

Interested in becoming a graduate student in the PATTERN Lab?
I actively recruit motivated and skilled students for projects. I am specifically interested in candidates with strong computer programming experience. Spaces are competitive, assessed by an admissions panel, subject to all normal procedures, requirements, quotas, and funding availability.Please read and fill this FORM before contacting me.

For Tarmo Remmel, it has always been about pattern. His career began by mapping boreal forest fires from satellite imagery, but the central question quickly became much larger: what does spatial pattern tell us about the world, and how can we measure it reliably? Over more than two decades, Remmel has pursued that question across landscape ecology, GIS, remote sensing, spatial statistics, LiDAR, and computational geometry. He has developed new ways to compare maps, quantify shape and fragmentation, characterize uncertainty, identify trees from LiDAR, and represent landscapes in three dimensions. The result is a research program that bridges theory and application—and increasingly bridges 2D maps with the complex 3D structure of real forests. Throughout, a commitment to open-source computation and reproducible methods has remained a defining feature. Today, his work is pushing the same fundamental ideas into new territory: using increasingly detailed spatial data to reveal how forest structure and disturbance are organized, change through time, and influence ecological processes.

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