# Spatial Explorer 6 Introduction

SpatialExplorer can **monitor and control the LiDAR mapping systems** offered by Phoenix LiDAR Systems in real-time (see what you’re scanning while you’re scanning it) as well as replay, visualize, and analyze LiDAR mapping missions after acquisition. It offers support for GNSS and INS navigation systems equipped with a variety of remote sensing hardware from Phoenix LiDAR Systems. &#x20;

SpatialExplorer enables in-field quality control and analysis with verification of the level of quality of the solution throughout acquisition. SpatialExplorer also allows for camera and LiDAR calibrations derived directly from user input and processing without needing to rely on sending in units for “vendor-only-calibration” or adjustments. It is an exceptional tool for training, how-to-fly visualizations, and for creation of high quality marketing imagery of acquired scans.

SpatialExplorer is capable of georeferencing LiDAR/image sensor data acquired by our LiDAR mapping systems with multiple remote sensing equipment configurations into common point cloud formats such as LAS or LAZ. It cuts down the wait time on consumer photogrammetry applications by creating colorized point clouds in about twice the time of the acquisition, all with greater accuracy than traditional photogrammetry acquisitions.

SpatialExplorer is the one-stop-software to ensure quality remote sensing acquisitions, highly detailed visualization of collected data, and in depth analysis of point cloud and imagery data with actionable data deliverables in a variety of formats. &#x20;

**Highlights include:**

* Real-time, 3D, georeferenced point cloud visualization
* Real-time RGB colorization
* Real-time measurements and profile analysis
* Monitor a variety of LiDAR system parameters
* Real-time photo preview – with specific camera upgrades only
* Flight planner module
* Avaliable internet connection for 3G/4G enabled Rover from anywhere, with any internet connected device, and with multiple SpatialExplorer sessions
* Combining raw data from rover into .las or .laz point clouds
* Creating accurate, georeferenced, colorized point clouds from real-time or post-processed trajectories
* Raster and Vector georeferenced deliverables from collected data&#x20;
* Extensive reporting from acquisition parameters and derived data products
* Intuitive manual extraction of flightlines, or fully automated extraction with user input
* Support for import of outside point cloud and orthomosaic data
* Exporting point clouds to more than 4000 coordinate systems

Spatial Explorer version 6 carries over many features from version 5 but with significant changes made to improve useability and realiability. To eliminate frustation and complication involving sensor-to-body rotations, SE v6 approaches conifguration profiles from an IMU-centric point of view, referencing all lever arm translations and sensor rotations in respect to the IMU coordinate system. This allows for improved profile management and interactive 3D sensor visualization for easy configuration of different acquisition setups. Additionally, SE v6 integrates LiDARMills NavLab for online trajectory postprocessing, reworked coordinate reference system support, and more:

* sensor-specific calibration models using improved per-laser calibration, nonlinear encoder-calibration and range-scaling
* Updated webinterface for control of rover through smartphone via wifi or 4g using remotecontrol.phoenixlidar.com
* Support for flight guidance for manned acquisition
* Autodetect and download geoids/grids when necessary
* Support for wheel sensors for mobile mapping, support for cameras to trigger-by-wheelsensor for perfect photo spacing even during extended GNSS outages in urban canyons.
* Improve cloud visualization with weighed colorization and histograms
* Add export of imagery (including Ladybug) to TopoDOT
* Update RiMTA for newest Riegl VUX LiDAR sensors

Additional features avaiable with SE v6 Pro license:

* Allow shifting a pointcloud to imported GCPs (horizontal, vertical, 3d shift)
* Overhaul of LiDARSnap4 and updated sensor calibration models for increased speed and accuracy
* Improve ground classification
* Allow writing trajectories in TerraSolid format
* Improve project report (GCP histograms, relative accuracy via strip-to-strip elevation correspondence)


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