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.
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
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):
We have a research and education license for the LASTools software. It is installed in all the lab’s computers. Please contact the lab’s responsible if the license is experied or the program is missing. The tools are frequently updated so if you need the tools for your work, make sure you have the most recent version, please contact us if you notice that there is an old version installed (c:\lastools).
The latest version of LASTools can be downloaded from here. Read more about LASTools on RapidLasso GmbH.
Here is a summary of the tools available and also a few links where you can read more about the software and a active forum.
Open source tools
These tools does not require a license.
laszip.execompresses the LAS files in a completely lossless manner
lasinfo.exe prints out a quick overview of the contents of a LAS file
lasindex.exe creates a spatial index LAX file for fast spatial queries
las2las.exe extracts last returns, clips, subsamples, translates, etc …
lasmerge.exe merges several LAS or LAZ files into a single LAS or LAZ file
txt2las.exe converts LIDAR data from ASCII text to binary LAS format
las2txt.exe turns LAS into human-readable and easy-to-parse ASCII
Sample plots with 40 m radius were scanned with the Trimble TX8. Each sample plot was covered with 16 scan locations. In total 40 sample plots were scanned. The work was conducted from September to December 2014. Example of the data:
In August 2016 we collected drone images over the forest estate Remningstorp. This data collection was funded by “Stiftelsen för skogsvetenskaplig forskning” at the Swedish University of Agricultural Sciences. Below you find an overview of the flown areas. If you are interested to use one of the flight blocks, please contact Mattias Nyström. This data is free to use, but we might charge you a delivery cost depending on the amount of data.
We have made block25 available for direct download. This block was automatically post-processed using Agisoft Photoscan. The data is in SWEREF99TM RH2000, but is not georeferenced using ground control points. There has neither been any manual work done after the automatic batch processing. If you want to use the data for more than viewing and understanding, please contact us to receive the original photos and you may process the data yourself.
The following blocks were flown with the Parrot Sequoia multispectral camera:
The following blocks were flown with the Sonya a5100 with a 20mm lens:
The data used to create this point cloud was collected using a drone flown at 60 m above ground. A GoPro Hero 3 camera with a modified lens was used to take the photos. The software Agisoft Photoscan Pro was used to generate the 3D points.
In the web-viewer, you can under “Material” change “Select Attribute” to “RGB” if you want to color the point by the color from the photos.