These are recommended when flying 40 meters AGL, and below. Designs for the small-sized (24'x24') GCPs can be found here.These are recommended when flying higher than 40 meters above ground level (AGL) to make sure that they are detectable. 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. Starting since version 4.3.0 SpatiaLite supports an optional GCP module the GCP acronym simply stands for Ground Control Points. Skycatch Control Points are printable and can be readily used in the field. You can learn more about control points here. 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. The Survey of India is undertaking the task of establishing a ground control point library (GCPL) for the entire country. For more information about capturing a corridor: Step 1. Corridor mapping includes project areas that are significantly larger in one dimension than another, e.g. CHPs are only used for assessing the accuracy of your processed outputs. Number and distribution of ground control points (GCPs) in corridor mapping. GCPs are used during the data processing to accurately georeference and calibrate your images. Ground control points (GCPs) are locations that we can track with high precision and accuracy between the targeted object and a selection of our photos.

GCPs can be downloaded and used as reference data. GCPs are updated as needed to continually improve Landsat data. There are two types of control points: Ground Control Points (GCPs) and Checkpoints (CHPs). Ground Control Points (GCPs) are defined as points on the surface of the earth of known location used to geo-reference Landsat Level-1 data. 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.