# 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


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