Value Adding
You know how geospatial data is captured. These articles look at what happens next: how current tools and methods turn point clouds, imagery, and other sources into results people can act on, and where each approach reaches its limits.
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How LiDAR Terrain Models Shape Geohazard Maps
A new LiDAR-based landslide map brought 1,869 properties into a hazard overlay and took 1,702 out. This article explains how bare-earth terrain models reveal landslides under forest, where they can mislead, and what to ask before one becomes a hazard map.
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LiDAR Calibration and Strip Adjustment
Overlapping LiDAR strips rarely line up on their own. This article explains where the offsets come from, how project calibration and strip adjustment remove them, and what to ask about both when you evaluate a dataset.
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Watching Point Clouds Grow
Every year, aerial survey contractors fly LiDAR sensors over three and a half to four million hectares, part of a six-year cycle that eventually covers every corner of the country. That is a lot of area to scan. When I mention this to friends and colleagues, they often wonder what could possibly make it worth…
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Combining Different Data Sources
A drone can see a rooftop that a tripod-mounted scanner never will, and a terrestrial scanner can resolve a facade at a precision no aerial platform can match. That is one reason people combine sensor sources. The other reason is just as important: LiDAR and imagery do not capture the same information about a surface…