# 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) and replay and visualize LiDAR mapping missions in post. It offers support for GNSS and INS navigation systems.

SpatialExplorer enables in-field quality control and analysis and ensures obtaining a quality solution throughout the acquisition process. It enables the user to calibrate camera settings without needing to rely on sending in units for “vendor-only-calibration” or adjustments. It is an exceptional tool for training with how-to-fly visualizations. Furthermore, it allows for the creation of high quality marketing imagery of acquired scans.

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

SpatialExplorer can also produce image sensor processing files. This is done by first visualizing and determining the quality of the navigation system trajectory data. Then you make post-processing adjustments to a subset of sensor settings and features within SpatialExplorer. Next you apply quality control standards and use them to limit what data is considered in the final export and fusing process. The last step is to determine the final export settings for your data.

**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
* Included flight-plan module
* Connect to a 3G/4G enabled Rover from anywhere 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
* Intuitive manual extraction of flightlines, or fully automated processing
* Exporting point clouds to more than 4000 coordinate systems


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