Surveyors all around the world produce point clouds for different purposes, whether it’s surveying waterways to ensure safe navigation, or inspecting structures below or above water. The variety of equipment used is extensive, and so is the variety of different file formats.
Point cloud data comes in many formats
Point cloud file format depends for example on the equipment and software used for gathering the data. Often you can choose the format already in the surveying phase, but as the different formats available are counted in hundreds, there are naturally some interoperability challenges.
ASCII (American Standard Code for Information Interchange) is a data format, which saves information as text. Many survey equipment manufacturers support ASCII file formats, like ASC or TXT. ASCII formats are recommended for example when storing point cloud data for long time, as they can be opened in common office software like text editors, if necessary.
Binary file formats, for example LAS or PCD, are more capable of storing huge amounts of information. This is the reason they are commonly used in land survey, where laser scanner’s high resolution and wide areas scanned create extensive file sizes.
Data uploading to GISGRO is easy
GISGRO online platform supports file formats asc, .xyz, .csv, .txt, .las and .obj. There is several software to convert the format, if needed. Point cloud files from one survey should be compressed to a one ZIP file, of which size can be up to 2 GB. Information of one point should contain maximum of six values, for example XYZ coordinates and RGB color values. Maximum amount of points per file is 50 million.
After you have the right file format and you have checked there is not any redundant information, you just drag and drop the ZIP file to GISGRO. The software processes the data quickly, after which you add the name, location, and coordinate and height reference system, and get to see your data in visual format. After the upload, you can add visuality by colors and make milestones to locate different observations more easily.
We have made a test data set for your use, if you want to try this out! Register to the free trial and download the test data from here. If you have any questions, contact us via email@example.com.
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