[ FIELD DISPATCHES · BACKGROUND PLATE ]
FIELD DISPATCHESMETHOD · SCIENCE · TECHNOLOGY · CAMPAIGN

Notes from the field, the lab, and the data.

Our team writes about what we're learning — scanning protocols, TreeLearn analysis, calibration methods, and the evolving case for different visualization formats. All entries are open access.

§ 01
DISPATCHES · 6 ENTRIES
06
June 1, 2026
TECHNOLOGY

The Current Stack: From Handheld SLAM to Splat

A walk-through of the tools a single capture passes through — handheld SLAM LiDAR in the field, 3DFin on the desk, and two very different outputs at the end.

Sora Tanaka
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05
March 14, 2026
TECHNOLOGY

What SLAM Changed in the Field

The shift from tripod to mobile SLAM is not primarily about speed. It is about which forests we can now capture at all.

Liana Kestral
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04
January 27, 2026
TECHNOLOGY

Point Clouds for Science, Gaussian Splats for Advocacy

They are representations of the same forest, optimized for completely different purposes. Using the wrong one in the wrong room is a real mistake.

Sora Tanaka
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03
December 8, 2025
SCIENCE

Ground Truth: DBH and Core Sampling as Calibration

No instrument reads a tree's age. An increment borer does. The relationship between what LiDAR measures and what a core reveals is the foundation of defensible forest science.

Dr. Mateo Vargas · Liana Kestral
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02
November 3, 2025
SCIENCE

Reading the Stand: Composition Analysis with TreeLearn

A LiDAR point cloud contains more information than most people know how to ask it. TreeLearn is our pipeline for asking.

Dr. Mateo Vargas
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01
August 15, 2025
FIELD METHOD

How We Scan a Block at Risk

Walking into a threatened stand with a SLAM sensor changes what you can know and how fast you can know it.

Liana Kestral
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