MARS lab is equipped with a large number of remote sensing devices as well as with significant computational abilities. The lab hosts three unmanned aerial systems that are equipped with laser scanning devices (Zenmuse L1 and Velodyne Puck), as well as two terrestrial laser scanners. The lab also operates a light UAS, DJI Mavic 2, for initial project assessments. The lab acquires multispectral imagery using a Micasesnse Rededge sensor. The point clouds and imagery are processed and analyzed using powerful computers, each equipped with an AMD Ryzen 5950X CPU, 128 GB RAM, and at least a Nvidia 3080 GPU.
The lab uses several commercial software packages to produce point clouds and imagery ready for analyses:
- point cloud processing: TerraSolid, LP360, QTM
- photogrammetric point clouds: Agisoft Metashape
- remote sensing dedicated: ERDAS and ENVI
Unmanned Aerial Systems
| Platform | No.Units | Image |
|---|---|---|
| DJI Matrice 300 RTK | 2 | Image
|
| DJI Matrice S1000 | 2 | Image
|
| DJI Mavic 2 | 1 | Image
|
Laser scanners (lidar)
| Model | No.units | Image |
|---|---|---|
| DJI Zenmuse L1 (aerial) | 2 | Image
|
| GeoSLAM Zeb Horizon (handheld) | 1 | Image
|
| TJ Dynamics Trion S1 (handheld) | 1 | Image
|
TJ Dynamics Trion P1 (handheld) | 1 | Image
|
Multispectral sensors
| Model | Image |
|---|---|
| MS 600 Pro | Image
|
| FLIR XT2 | Image
|
| Pyranometer | Image
|
| Photosynthetic Active Radiation | Image
|
GPS RTK
| Model | Image |
|---|---|
| DJI D-RTK | Image
|
| Emlid Reach RS2+ | Image
|
| FJ Dynamics V1t | Image
|
Computers
- 4 PC equipped with AMD Ryzen 5950X CPU, Nvidia RTX 3080 GPU, 128 GB RAM, and 3 dedicated drives
- 1 PC equipped with AMD Ryzen 7950X CPU, Nvidia RTX 4080 GPU, 196 GB RAM, and 3 dedicated drives
- 64 TB dedicated storage