Drone Mapping API and Cloud Processing

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drone api

DroneMapper Cloud is an API for photogrammetric processing of aerial images. The API allows a developer to programatically interact with our Drone Mapping algorithms to generate georeferenced Digital Elevation Models, Orthomosaic Maps and Point Clouds with or without Ground Control Points (GCP).

After 7 years, we’ve retired our original web based cloud processing system and API — this is the new generation of that API. It combines our latest algorithm developments and processing experience into an enterprise focused cloud product.

API Documentation
Python Source Code Example w/ .ZIP File Download & Webhook

The API has an extensive processing dashboard and web based user interface. The UI allows an operator to upload imagery, download processed products, view results in 2D or 3D, make map based GIS measurements (Area, Distance, Slope, Volume) and more.

Request API Access

point cloud api

Drone Imagery to 3D Game Engine and Virtual Reality

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We’ve updated our sample page to include a Blender project with the high resolution Red Rocks virtual reality scene. We’ve also added a download link to the .OBJ, .MTL and .PLY files for import into Unity3D or other 3D rendering software. Creating real world scenes in VR quickly from drone imagery is possible using an oblique collection and our processing software.

The image above shows a 3D Textured Mesh Point Cloud converted to .OBJ format displayed in Blender. The .OBJ has an associated .MTL and .JPG file to provide the texture and material mapping.

download processed products in .OBJ
download processed products in .PLY
download Blender 3D project

We’d love to see how you use this data in your own projects! Let us know

Precision Agriculture and Calibrated gNDVI

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Here we show a set of illustrations for a crop seed research field imaged with a modified near infra-red sensor. The first image shows the scene in the infra-red and the second shows the computed scene gNDVI. The research field was outfitted with a unique set of controls. Aerial targets on the ground provided calibrated spectral reflectance as well as precise geo-spatial position. These were used over the 17 week growing period (on a weekly basis) in order to produce a meaningful temporal history of the research crop maturation.

The third image shows the automated binning of the plot average vegetation indice with color highlighting high indice (green) to low (red). The fourth image shows the 3D model of one plot prior to harvest where average crop height was computed and an estimate of biomass volume obtained.

We believe the key in using spectral imaging effectively in precision agriculture is the correlation with what the agronomists are seeing on the ground. So, high correlation coefficients are mandatory. DroneMapper can help you sort through what works for precision AG imaging. Give us a call!

Big Data Photogrammetry Processing

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Processing billions of pixels over large areas at high resolution requires serious computing power and algorithms. The image above shows an Orthomosaic map with a Ground Sample Distance (GSD) of 3 cm spanning an area of over 250 acres. The original imagery was obtained using a Precision Hawk fixed wing UAV system and processed by DroneMapper cloud.

Give us a call to discuss your application and how we may possibly help in the solutions you need.

Drone Mapping with Trimble GPS RTK Base and Rover

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DroneMapper recently acquired Trimble GPS RTK Base and Rover systems for ground survey to augment its aerial imagery collection operations. By combining ground truth, aerial targets and photogrammetric processing one may produce near survey grade digital elevation models (DEMs) and orthomosaics, precisely geo-referenced. Picture 1 illustrates the RTK setup. To get acquainted with the system operation we performed a number of surveys around the DroneMapper business property.

A search of the National Geodetic Survey (NGS) (https://www.ngs.noaa.gov/NGSDataExplorer/) identified three (3) high precision control points located at Blake Field airport, just north of Delta, Colorado. Picture 2 illustrates the control points on the NW side of the airport runway which is about 1 mile long. We utilized the base station to acquire Wide Area Augmentation System (WAAS) coordinates over the 1V9A monument and found the reported WAAS position was within 1 meter of the precise location in XYZ. We then keyed the precise position of the monument into the base station and used the rover to measure the other two monument positions.

If your application requires high quality imagery collection combined with precise control for the highest geo-spatial accuracies please call the DroneMapper team.