Part I of this series described the LiDAR georeferencing process (for one, 2D, single return scanner). Part II showed how point uncertainties are computed and why they are useful. What hasn’t been covered so far is what data you need to do this stuff! Here is your shopping list: Scanner data Raw LiDAR ranges Scanner…

# Category: uncertainties

## The LiDAR uncertainty budget II: computing uncertainties

In part 1, we looked at one way that a LIDAR point is created. Just to recap, we have 14 parameters (for the 2D scanner used in this example) each with their own uncertainty. Now, we work out how to determine the geolocation uncertainty of our points. First, let’s talk about what those uncertainties are….

## The LiDAR uncertainty budget I: georeferencing points

This is part 1 of 3, explaining how uncertainties in LiDAR point geolocation can be estimated for one type of scanning system. We know LiDAR observations of elevation/range are not exact (see this post), but a critical question of much interest to LiDAR users is ‘how exact are the measurements I have’? As an end-used…

## LiDAR thoughts – where to measure, exactly?

LiDAR is a pretty common tool for geospatial stuff. It means ‘Light Detection and Ranging’. For the most part involved shining a laser beam at something then measuring how long a reflection takes to come back. Since we approximate the speed of light, we can use the round trip time to estimate the distance between…