Work with our team of experienced GIS and mapping experts to post-process your drone survey data.
We can take raw survey data and benchmark coordinates, implement quality checks and controls, and provide fully processed, georeferenced map outputs – with detailed specifications and flexible file formats to suit the final requirements.
Working with companies and government organizations across Indonesia and internationally, we are familiar with industry standards, data formats, and international best practices, ensuring consistent and accurate deliverables for every type of client that we serve.
The two major types of drone spatial data which we process are:
• LIDAR (Laser-based Scan or Survey Data)
• Photogrammetry (RGB Imagery)
Drone images (RGB survey data) are corrected for image distortion and scale, and stitched together with ground control point (GCPs) during post-processing to create a highly-accurate, georeferenced orthomosaic map. Each pixel contains 2D geo-information (X, Y) and the orthomosaic map can directly enable accurate measurements, such as horizontal distances and surface areas.
Drone images (RGB survey data) are corrected for image distortion and scale, and stitched together during post-processing with ground control points (GCPs) to create a highly-accurate, georeferenced 3D map. Each pixel contains 3D positioning information (X, Y, and Z) and the map can directly enable accurate measurements, such as horizontal and vertical distances, surface areas, and volumes. 3D maps can be further processed to generate DTMs and Contour Maps, as well as many other other types of analytics.
A DSM is a 3D survey which includes everything in the survey area, including the natural and man-made features on the Earth’s surface. A DSM can be generated from photos (photogrammetry) as well as LIDAR data. Commonly required as a standard LIDAR survey data output, this will be a point cloud which includes everything that the LIDAR sensor scanned, including the top of buildings, tree canopy, powerlines, and other features of the land and surface structures. Very precise information about the height of those structures is provided.
A DSM is useful in 3D modeling for power transmission, pipeline management, telecommunications, urban planning and construction, and aviation. Because objects extrude from the Earth, and the size and volume of these objects can be measured using LIDAR data, a DSM is particularly useful in these cases.