SPATIAL EXPLORER 8.0
New in the SpatialExplorer 8.0 Suite
Larger Projects & Faster Processing
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An all new .cloud format
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Quicker routines (such as up to 20x faster ground classification)
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Project tiling for virtually limitless dataset sizes
- Smart file locking for viewing tiles from multiple location simultaneously
- Sub-millimeter coordinate precision out to 1000 km
- Optimized rendering speed and quality
- Cloud edit history and reverting operations
- Support of huge orthomosaic (cloud-optimized geotiff) input for display and colorization
Increased Compatibility
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Support for importing Reigl .rpp projects
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Improved RXP to SDCX conversion without closing a project
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Improved RESEPI data import and processing
-Better LiDAR Calibration
-Better Colorization -
Support WINGTRA raw lidar data
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Support PhaseOne IIQ data natively
-No JPEG conversion required
More Analytic Tools
- New customizable Cloud Query of point attributes with an instant classification on selection
- New Automatic Powerline classification
- New Automatic Moving Object classification
- New X-Ray building floor plan export
Updated User Interface
- Reorganized toolbars for a better workflow
- New progress dialog with runtime estimates and resource load
- Visualize thousands of images in 3D
- New Photo Viewer widget for inspecting full resolution frames
LiDARSnap Updates
- Multi-sensor calibration
- New 3D constraints to mitigate drift
KEY FEATURES
ACQUISITION
- Configure all system sensor and store custom profiles to ensure the correct settings during each acquisition
- Live sensor control during acquisition allows the operator to respond as necessary
IN-FIELD QC
- A real-time point cloud and detailed navigation feedback provide instantaneous data quality control in the field
- Interactive data inspection with measurements and profile slices
POST-PROCESSING
- Process data from airborne, mobile, or other types of acquisitions using a single software
- Interactive data inspection with measurements and profile slices
- Flightline management and data filters
- LiDAR and imagery fusion and export
- Virtually unlimited project sizes
REQUIREMENTS
- Windows 10, 64bit
- Minimum 16 GB RAM, more depending on pointcloud size (recommended >= 64GB)
- OpenGL hardware support (recommended NVIDIA)
- SSD for data storage and temporary processing data
- Working internet connection for LiDARMill integration and for managing license activation
EXPAND WITH MODULES
MissionGuidance
KEY FEATURES
- Pilot navigation display screen
- velocity, Heading, and Elevation monitor
- Height maps and custom terrain models
- Remaining flight time estimates
- Operator flight plan view
- Interactive line scheduling
- Configurable tolerances
- Automatic line management
- Basemaps for spatial reference
- AGL oracle
HOW DOES Missionguidance work?
Plan Faster
Load and review a flight plan in SpatialExplorer prior to flight. Users can organize the approach, check and adjust heights, and configure the interface as desired.
Make Adjustments Instantly
Real-time acquisition management by the sensor operator from within SpatialExploerer during flight, ensuring that all passes are successfully collected within tolerance and according to the plan, rescheduling lines as necessitated by weather or other external factors, and making in-flight decisions confidently.
NAVLAB EMBEDDED
KEY FEATURES
- GNSS differential corrections
- Precise Point Positioning
- INS loosely and tightly coupled integrations
- Embedded directly into SpatialExplorer desktop
- Reference station configuration
- IMU-to-Antenna lever arm offsets estimation and quality control reporting
> Seamless integration of Novatel’s InertialExplorer
> All-in one software workflow to eliminate coordinate reference system
> Fast, simplified, automated processing
HOW DOES NAVLAB EMBEDDED WORK?
Plan Faster
Load and review a flight plan in SpatialExplorer prior to flight. Users can organize the approach, check and adjust heights, and configure the interface as desired.
Make Adjustments Instantly
Real-time acquisition management by the sensor operator from within SpatialExploerer during flight, ensuring that all passes are successfully collected within tolerance and according to the plan, rescheduling lines as necessitated by weather or other external factors, and making in-flight decisions confidently.
SPATIALPRO
KEY FEATURES
- LiDARSnap – LiDAR sensor, calibration, flightline matching, adjustment to control, and adjustment to other pointclouds
- CameraSnap – Camera calibration, automated and interactive feature detection, individual frame adjustment
- Advanced colorization with radiometric balancing and depth awareness to correct pixel to point mapping
- Multi-mission project calibration
- Import and calibrate 3rd party data and LAS/LAZ
- Classification with automated routines and fast interactive selections
- Statistical outlier removal and advanced noise reduction
- Change detection
- Raster and vector products (DEM, DSM, Contours, georeferenced floor plans)
- Application-specific exports (TopoDOT, Pix4D)
- Automated QC and accuracy reporting
> Complete your post-processing workflow with the right tools for high quality data production
> No compromise data accuracy with user control along each step of the way
> Built and designed by Phoenix LiDAR based on a decade of data production experience
HOW DOES SPATIALPRO WORK?
Plan Faster
Load and review a flight plan in SpatialExplorer prior to flight. Users can organize the approach, check and adjust heights, and configure the interface as desired.
Make Adjustments Instantly
Real-time acquisition management by the sensor operator from within SpatialExploerer during flight, ensuring that all passes are successfully collected within tolerance and according to the plan, rescheduling lines as necessitated by weather or other external factors, and making in-flight decisions confidently.
SLAM
KEY FEATURES
- Estimate a trajectory from LiDAR data
- No GNSS required
- Automatic georeference with available GNSS
- Interactive processing and data refinement
- Noise filtering and outlier removal
- Automatic trajectory drift migration with loop closure detection
- SLAM profiles for pedestrian and mobile style data sets
- Interactive optimization to control points or control point clouds
- Simplified data acquisition using mobile device or tablet