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.
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.
The shift from tripod to mobile SLAM is not primarily about speed. It is about which forests we can now capture at all.
They are representations of the same forest, optimized for completely different purposes. Using the wrong one in the wrong room is a real mistake.
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.
A LiDAR point cloud contains more information than most people know how to ask it. TreeLearn is our pipeline for asking.
Walking into a threatened stand with a SLAM sensor changes what you can know and how fast you can know it.