Researchers at the forest remote sensing section and students in the lab have developed a mobile laser scanning system based on a Velodyne VLP-16 and a Novatel SPAN-IGM-S1.
The lab has a HTC Vive Pro Virtual Reality equipment. It is used to visualize point clouds from our scanners and drones.
More information about the development of a “software” to import, export and visualize point clouds in Virtual Reality.
We have several different cameras that can be used either from air (drone) or from the ground. These are the available cameras:
There is a separate room with work bench and tools for service of the lab’s equipment. There are for example soldering equipment, multimeter, power supply and tools.
The lab has a 75″ UHD 4k TV for presentations. The screen has a high resolution (4k, 3840×2160) which is great when you open a high resolution orthophoto on the screen and want to look at details.
The lab also offers several softwares for analysis of the 3D-data. More information about the softwares available in the lab.
The lab has a Flir Vue Pro 13mm thermal camera with 640×480 pixels resolution and 30 frames per second. The camera can be used to locate hot-spots when putting out a forest fire.
Example of a synchronized video feed from a GoPro and the thermal camera:
Forest fire, fusion of thermal and RGB camera
The lab have two high resolution GNSS receivers. The newest is a Trimble GeoXR 6000 from 2014 and the second is a TopCon GRS-1 from 2010. Both uses RTK (Real Time Kinematic) and connects to Swepos using either Telia cellular network or through a WLAN connection with a Net1-modem. Both these devices can measure a point in a few seconds with centimeter resolution, but it needs clear vision to the satellites.
Here are user instructions for the devices:
- Trimble GeoXR 6000
- TopCon GRS-1 (e-mail us if you need a copy, will be published shortly)
In the lab we have in total 8 computers specially designed to work with heavy processing of 3D-data. One of the computers is connected to a 75 inch UHD-TV and is used for presentations and the HTC Vive (Virtual Reality). One of the computers is stored in a server room and used as a processing machine.
The computers are numbered from their computer names:
- 2019-65: Core i9 9980XE 3GHz (18-cores), 128 GB RAM, 2 x GeForece RTX 2080 Ti
- 2017-1: Core i7 6800K 3.4GHz (6-cores), 64 GB RAM, 1 x GeForce GTX 1080 Ti, 2 x 25″ TFT 2560×1440
- 2017-2: Core i7 6800K 3.4GHz (6-cores), 64 GB RAM, 1 x GeForce GTX 1080 Ti, 2 x 25″ TFT 2560×1440
- 2016-36: Core i7 6700K 4GHz (4-cores), 64 GB RAM, 1 x GeForce GTX 1080, 75″ UHD-screen
- 2014-98: Core i7 4930K 3.4GHz (6-cores), 64 GB RAM, 2 x GeForce GTX 780, 2 x 28″ UHD-screen
- 2014-99: Core i7 4820K 3.7GHz (4-cores), 64 GB RAM, 1 x GeForce GTX 780, 2 x 27″ TFT 2560×1440
- 2014-100: Core i7 4820K 3.7GHz (4-cores), 32 GB RAM, 27” 3D-screen
- 2014-101: Core i7 4820K 3.7GHz (4-cores), 32 GB RAM, 27” 3D-screen
The lab has a Trimble TX8 laser scanner (from 2014). The scanner is used to collect accurate measurements of the ground and the tree stems. Here is an example of one birch that is cut out from a multiscan (several scans are merged into one dataset):
- Instruction on how to perform forest scanning and postprocessing
- Examples of collected data
- Terresterial laser scanning in virtual reality
The scanner is mounted on a tripod and collects 1 million points every second. In three minutes a full scan is done with a point spacing of about 4 mm on 10 meters distance.
Fly through video of a plot in Remningstorp. 16 scan locations merged. Intensity and height above ground are merged in the coloring of the 3D-points.
Fly through of another plot. Coloring of the 3D-points are from the intensity of each return.