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Review Summary
Perpetual
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
A complete start to finish data acquisition and processing workflow.
SpatialExplorer is the core of Phoenix LiDAR's desktop software suite. It is an extensible program that is built to ensure you get the data you need. Starting from data acquisition, SpatialExplorer provides tools for real time streaming point clouds, telemetry monitoring and other in field quality control. Post acquisition data processing tools put users in control of their datasets. SpatialExplorer transforms raw data inputs into geospatially accurate and refined outputs. SpatialExplorer can be expanded with a selection of plug-in modules that add advanced functionality at critical steps in the data collection and production.
New in the SpatialExplorer Suite
Support for new sensors
Sony LR-1 61MP
Mosaic 51 Panoramic Camera
PhaseOne integrated acquisition control
Updated realtime positioning
Streaming high accuracy RTK correction to rover
Connect to any NTRIP caster from SpatialExplorer
Improved Sensor Control
Geo-polygon AOI automatic sensor enable/disable
Camera trigger by location
Camera trigger point-in-view for inspections
Vector Data Creation
3D feature digitization with points, lines and polygons
Editable attribute table
Geometric Measurements
Volumetrics - cut and fill
SDASN - standard deviation along surface normal
Length and area
Point density
LiDARSnap Updates
Improved mobile mapping strip alignment
Higher rate adjustments (for faster vehicles)
Better utilization of small targets (poles, trees, etc.)
Interactively measured GCP correction Support for new sensors
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
Expand with Modules
SpatialExplorer can be expanded with a selection of plug-in modules that add advanced functionality at critical steps in the data collection and production workflow.
MissionGuidance
The MissionGuidance module for SpatialExplorer helps streamline piloted data acquisitions by providing automated navigation tools for the pilots to stay exactly on course, as well as for the sensor operator to ensure flawless acquisition.
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 SpatialExplorer 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
The NavLab Embedded module for SpatialExplorer simplifies and automates trajectory post-processing for achieving the best estimated trajectory from your navigation data.
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
SpatialPro
The SpatialPro module for SpatialExplorer expands the software with tools for fine tuning and deliverable data production.
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
SLAM
Simultaneous localization and mapping for GNSS denied areas.
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
Map indoor and outdoor spaces that have little to no GNSS reception
Hybrid SLAM uses any available GNSS during the scan for automatic georeference
SLAM assisted trajectory processing for confidence through spotty GNSS