In the morning of the 4th of July, before the official beginning of the AIT2018 conference, Martin Isenburg will guide attendees to a short course on LAStools, the most used software package for manipulating raw LiDAR point clouds… and many more!
Attendees are requested to bring their own Windows laptops. Software and data will be provided during the workshop. The course is free but reserved to registered AIT2018 participants. The number of places is limited, and we will use a “first arrived, first served” approach on the basis of the registration date. If you want to secure your place during the registration be sure to activate the option “LAStools course”.
Dr. Isenburg will start with short and lively introduction talk on LiDAR processing with examples of different projects such as the Canary Islands (Spain) where the vegetation-penetrating lasers uncovered elevation differences of up to 25 meters between the official government maps and reality, flood mapping in the Philippines, archaeological finds in Polish forests, and mapping biomass in Thailand, or other recent laser adventures. This is followed by a quick hands-on workshop during which attendees will perform the core steps of a LiDAR processing workflow on their own Windows laptops using the software and data provided. This workshop will touch upon parts of (1) LiDAR quality checking, (2) LiDAR preparation (tiling, classifying, cleaning), (3) LiDAR derivative creation (DTM/DSM/contours/CHM/…).
Martin Isenburg, PhD short bio:
Dr. Isenburg received his MSc in 1999 from the University of British Columbia in Vancouver, Canada and his PhD in 2004 from the University of North Carolina at Chapel Hill, USA – both in Computer Science. Currently, he is an independent scientist, lecturer, and research consultant. Dr. Isenburg has created a popular suite of LiDAR processing software modules called LAStools that is the flagship product of rapidlasso GmbH, the company he founded in 2012. The LAStools software suite has deep market penetration and is heavily used in industry, government agencies, research labs, and educational institutions. These highly efficient LiDAR processing tools are known for their high productivity. They combine robust algorithms with efficient I/O and clever memory management to achieve high throughput for data sets containing billions of points. See http://rapidlasso.com for more information.