I’m going to Vienna next week for EGU17 – which is awesome, and I’m extraordinarily excited under my ‘I’m a badass science ninja’ veneer! I’ll be listening a lot, and talking a little bit about work I’m doing at the National Computational Infrastructure on some ideas for data services around massive, dense point data –…
Drifting sea ice and 3D photogrammetry
3D photogrammetry has been a hobby horse for ages, and I’ve been really excited to watch it grow from an experimental idea [1] to a full-blown industrial tool. It took a really short time from research to production for this stuff. Agisoft Photoscan turned up in 2009 or 2010, and we all went nuts! It…
The LiDAR uncertainty budget part III: data requirements
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…
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…
You can call me Doctor now.
Glorious bearded philosopher-king is clearly more appropriate, but Doctor will do. After six years of chasing a crazy goal and burrowing down far too many rabbit holes in search of answers to engineering problems, I got a letter from the Dean of graduate research back in late October. My PhD is done! So what exactly…
FOSS4G 2016 wrap-up
I’ve recently returned from FOSS4G 2016 in Bonn, Germany. It was my first OSgeo conference, and it was quite amazing. As a little background the OSgeo foundation supports the development of open source ‘geo software’, from desktop packages like QGIS to behind-the-scenes libraries (Proj.4) and even geospatial metadata catalogues (eg Geonetwork). My involvement? Over the…
A new job, and quiet times ahead for Spatialised. For now.
I’ve just taken a position at the National Computational Infrastructure in Canberra, Australia. So I won’t be seeking work using Spatialised as a platform for a while. This space will, however, become a news feed for my science related life – PhD progress, interesting research I’m involved in, or useful articles related to what I do.
ACE CRC, Airborne LiDAR and Antarctic sea ice
Between late June and late August 2015 I worked with the Antarctic Climate and Ecosystems Co-operative Research Centre (ACE CRC) to tidy up some long running loose ends with an airborne LiDAR project. This project is close to home – my PhD revolves around cracking some of the larger nuts associated with getting a science…