These are recommended when flying 40 meters AGL, and below. Designs for the small-sized (24"x24") GCPs can be found here.A GCP can be anything, either the familiar black and white marker, a spray-painted dot, or any fixed spot. GCPs are essential for ensuring the accuracy and consistency of geospatial. Ground control points are points on a scanned object or a surface. They are used as reference points to georeference, orthorectify, and align spatial datasets such as aerial or satellite imagery. When used correctly, ground control points greatly improve the global accuracy of your drone map. Structure from Motion find camera poses & a structure to an unknown scale of the real metric measure. These are recommended when flying higher than 40 meters above ground level (AGL) to make sure that they are detectable. Ground Control Points (GCPs): As previously explained, GCPs are identifiable points on the Earth’s surface with known precise coordinates. Designs for the large-sized (46"x46") GCPs can be found here.Downloadable files of the printable control points (tag) are available in PDF, PNG, and PSD file formats. Skycatch Control Points are printable and can be readily used in the field. You can learn more about control points here. Ground Control Points identify recognizable features in the input images and align them to a known location (X, Y and Z coordinates). They are not taken into account when processing and calibrating your images If you choose to upload your dataset with checkpoints the vertical (vACC) and horizontal (hACC) accuracy of the processed outputs are displayed in DataHub. ![]() CHPs are only used for assessing the accuracy of your processed outputs. GCPs are used during the data processing to accurately georeference and calibrate your images. There are two types of control points: Ground Control Points (GCPs) and Checkpoints (CHPs). They have varying designs of encoded IDs that are automatically detected by our processing pipeline. Skycatch control points will help increase the accuracy and turnaround time of your processed datasets.
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