In Nederland hebben we met het Actueel Hoogtebestand Nederland een schitterend landelijk hoogtebestand. Schitterend omdat het open data is, van goede kwaliteit (5cm stochastisch + 5cm systematisch), hoge resolutie voor een airborne LiDAR bestand, geclassificeerd en […]
Puntenwolken
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In my previous post I showed how to use Potree to create a web viewer for point clouds. But it doesn’t stop there, as Potree is also capable of displaying other geographic data. The Shapefiles example […]
Potree is the de-facto standard web viewer for point clouds. It can display huge point clouds by showing only the relevant parts of the cloud. It can display using all attributes of a LAS/LAZ file and […]
When dealing with point clouds, you’ll probably run into the LAS format at some point, as it is the file format most commonly used for point clouds acquired through laser scanning. LAS supports a number of […]
Most laser scanners produce point clouds with irregular spacing – surfaces close to the laser scanner are scanned in much more detail than surfaces that are further away. This leads to huge point counts and file […]
For my job I deal with point clouds almost daily – in fact, much of my programming revolves around point clouds and how to extract information from them automatically. This means that it is very important […]