Consider working with CompassData Inc. if you need a high-quality Ground Control Point survey data provider. They have collected GCPs for 435 airports and produced photo-ID GCPs. Additionally, they are certified to process aeronautical data under the DO-200A standard. Listed below are just some of the reasons to choose CompassData. We hope you find the information helpful. Let us know what you think in the comments!
CompassData is a global provider of high-quality ground control points.
CompassData is a leading provider of high-quality ground control points (GCPs). Its archive contains over 6,000 photo-identifiable GCPs for over 700 project locations throughout North America, South America, Africa, and Europe. The data is derived from GPS and Trimble ProXRS survey grade equipment and has undergone rigorous quality-control procedures. The accuracy of each GCP is submeter or better horizontally and vertically, and heights are measured in meters.
CompassData GCPs are used extensively to correct LiDAR data, orthorectify imagery, and verify the accuracy of datasets. They are also used by remote sensing satellite operators for calibration purposes. CompassData collects new GCPs every day and regularly delivers archival and updated GCP data. Its GCPs are processed to high-accuracy standards and delivered with metadata and station diagrams.
FAA-DO 200A quality standards
The global database of a GCP contains the location, elevation, and orientation of over 46,000 points worldwide. The GCPs are collected using standardized data collection and processing techniques to ensure consistency and accuracy. This data has been sourced from more than 500 airports worldwide and meets FAA-DO 200A quality standards. GCPs are also essential for commercial aviation.
CompassData is a leading provider of photo-ID ground control points (GCPs) and geospatial data sets for photogrammetric and remote sensing applications. Its GCP archives cover more than 46,000 points in 100 countries, and its ISO 9001:2018-certified process produces high-quality data at a consistent quality. There are five levels of accuracy for GCPs from CompassData.
It produces photo-ID GCPs.
With more than 500 airports worldwide, CompassData is a one-stop source for photo-ID GCPs and geospatial data sets. The company provides accurate photogrammetric and SAR sensor calibration, and its archive contains more than 46,000 photo-ID ground control points. With its ISO 9001:2018 certified process, CompassData produces consistent quality data and has received FAA certification.
Ground control point (GCP) imagery has become increasingly important in aviation. For this reason, many companies use GPS-surveyed ground control to create their next-generation map products. However, to ensure their accuracy, these products must be certified under the DO-200A standard, which was developed by the FAA and the European Aviation Safety Agency. This standard helps ensure that ground control point data meets strict accuracy standards.
Since its establishment, CompassData has collected GCPs for over 435 airports worldwide. In addition, it has retained the rights to all the GCPs collected at a client’s request, preserving them in its commercial archive. In addition to providing GCP data, CompassData delivers the associated metadata, station diagram, and ground photo. The company is also in the process of achieving Type 1, LOA for DO-200A certification. Once that occurs, CompassData will be in a prime position to provide ground control and imagery to aviation mapping product suppliers and AMDB for their obstruction products.
It offers orthorectified GCPs
You should import survey data or a reference image to obtain an orthorectified image. The software offers the GCP measurement capability within the ortho mapping workspace. In ENVI, the GCPs manager is part of the Refine group. In ENVI version 5.3, you can automatically generate GCPs from orthorectified reference images. You can also import existing ground survey data. To create orthorectified GCPs, you must perform a Block Adjustment.
The system is designed to perform orthorectification for multi-spectral optical images. It uses GCPs as inputs to either refine an attached RPC model or generate a new model from the L1 image without a geocoding model. Automatic matching of an optical image and GCP optical chip requires an accurate estimation of the residual errors using the Fourier-Mellin Transform. Another method uses a modified version of SAR-SIFT to estimate residual errors between GCPs and a matched point over an optical image. The matching permit results are used to refine the picture geocoding model and provide an affine model for the final warping step.