Statements (69)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:optics
|
| gptkbp:can_create |
digital elevation models
3 D models |
| gptkbp:captures |
millions of points per second
|
| gptkbp:developed_by |
various technology companies
|
| gptkbp:first_appearance |
vegetation
|
| https://www.w3.org/2000/01/rdf-schema#label |
3 D Lidar
|
| gptkbp:is_accessible_by |
gptkb:vehicles
gptkb:drones tripods |
| gptkbp:is_based_on |
time-of-flight principle
|
| gptkbp:is_compatible_with |
machine learning algorithms
|
| gptkbp:is_expensive_compared_to |
traditional surveying methods
|
| gptkbp:is_integrated_with |
gptkb:GPS
IMU |
| gptkbp:is_more_accurate_than |
2 D Lidar
|
| gptkbp:is_part_of |
remote sensing
|
| gptkbp:is_used_by |
urban planners
environmental scientists surveyors |
| gptkbp:is_used_for |
asset management
climate change studies environmental monitoring natural resource management transportation planning terrain analysis geological studies site analysis flood modeling wildfire risk assessment floodplain mapping wildlife habitat assessment infrastructure monitoring land cover classification vegetation analysis land reclamation projects pipeline inspection landslide risk assessment road safety analysis coastal erosion studies building information modeling (BIM) cultural heritage documentation urban heat island studies urban infrastructure planning power line inspection urban sprawl analysis landfill monitoring agricultural assessment vegetation structure analysis site selection for renewable energy projects urban modeling archaeological site mapping roadway analysis solar panel placement analysis |
| gptkbp:is_used_in |
mining
land use planning disaster management forestry coastal mapping archeology |
| gptkbp:measures |
distance
|
| gptkbp:operates |
light pulses
|
| gptkbp:provides |
high-resolution 3 D data
|
| gptkbp:used_in |
gptkb:vehicles
gptkb:robotics construction geospatial mapping |
| gptkbp:bfsParent |
gptkb:Velodyne_Lidar
|
| gptkbp:bfsLayer |
7
|