YellowScan CloudStation Pro

CloudStation is YellowScan's proprietary software for processing LiDAR and image data from YellowScan sensors. Here you can produce point clouds, elevation models, contour lines, and orthophotos in an easy-to-navigate workflow.

The software has a modern and user-friendly interface that takes you step by step through the different parts of the process.

CloudStation Pro

This is the most popular version of CloudStation, allowing you to do the most important tasks. Just like in CloudStation Essential, you can run an integrated post-processing (PPK) on the trajectory, generate point clouds, and color them with orthophotos.

In addition, you get access to several other modules, such as strip adjustment and terrain classification.

You can then export the results in LAS and LAZ formats, among others.

Integrated post-processing of trajectory (PPK)

Regardless of which scanner you choose, PPK is used to produce an accurate trajectory (SBET) after the flight. Depending on which scanner you have, you will use either Applanix POSPac or SBG Qinertia. These software programs can be run separately, with their own GUI, or through an integrated workflow within CloudStation. This is very user-friendly and is usually faster than running directly in POSPac or Qinertia.

Generate point clouds

Once you have created an SBET file, you can generate the point cloud from your raw data. Here you have control over which part of the flight you want to generate data from, through an automatic or manual definition of each strip. You can choose which FOV from the scanner you want to retrieve data from, etc.

Measure and visualize the point cloud

YellowScan has developed its own 3D engine, and visualizing and inspecting point clouds in CloudStation is very smooth and responsive, even for large datasets.

You can choose between different color palettes such as height, intensity, returns, swaths, flight, etc.

You also have tools for measuring distances, making cross-sections, etc.

CloudStation Pro modules

Strip Adjustment module

To reduce deviations between the different strips, you can run strip adjustment on the data. Here you can also retrieve GCPs and use them as control points, checkpoints, or points of interest (POI).

You can choose between robust or precise strip adjustment depending on your needs and the type of flight/data collection you have.

Terrain Classification module

In this module, you classify terrain from other points. You can make various settings to optimize for the type of data or terrain in each individual project. YellowScan has developed its own algorithms for classifying terrain using the various properties you get from LiDAR data, and it can often do a better job than if you run terrain classification in software built for photogrammetry.

Colorization module

If you want to colorize your project with realistic RGB colors, you can do so in the Colorization module. If you have a scanner with a built-in or external camera, you can use these images for colorization. If you don't have a scanner with a camera, you can also colorize using an orthophoto created in other software.

Cut Overlap module

You often fly with 20-30% overlap on LiDAR data in order to run strip adjustment and ensure that you do not lose data in any area. However, if you do not want varying point density in your dataset, you can run Cut Overlap to remove overlapping data between the strips.

Smoothing module

Depending on the scanner, you may get a slightly thicker and "fluffier" point cloud when the scanner does not have such high precision. To get a thinner and sharper point cloud, you can run the smoothing module. Here, advanced algorithms are run to analyze the data and move the points towards the center line. The result is a much sharper and well-defined point cloud.

Exporting data products

When you have finished generating and processing the data, it can be exported. In CloudStation Pro, you can export the following products:

• Point clouds - LAS, LAZ, TXT
• DTM, DSM, DHM, and Hillshade
• Contour lines
• EO parameters from RGB camera