Drones are one of the great technological success stories of the 21st century! The demand for high quality aerial data capture from drones or UAVs is growing fast and now professional standard drones are readily available at affordable prices. Drones have made it possible to map an area very quickly in a very cost-effective manner, pushing those days back when just satellite imagery was an option. Industries like construction, agriculture, health-care, disaster support, mining, infrastructure inspection etc. are heavily using drones for aerial mapping and surveying. Drones enable acquisition of precise and high resolution images (3-5cm!) or a 3D model of a project area with accurate measurements thus the end products makes the decision-making effective.
This detailed drone mapping course will focus on drone technology specifically on parts of a drone, drone sensors, drone data acquisition, data processing e.g. 3D models; overview of drone image processing e.g. Pix4D, Agisoft etc. The principle of drone mapping entails taking many images at different locations and altitude; and then using software to merge them together, creating a geometrically accurate map or model. In practice, this is accomplished using software that automates both flight and image capture. This course will give you the insights and knowledge to start performing drone based mapping assignments. Orthomosaics, terrain maps, and 3D models (DSMs/DEMs) are the most common deliverables. Drone mapping also encompasses data captured with infrared and multispectral or hyperspectral cameras such as that of eBee SQ drone. By utilizing different sensors and capture methods, drones are able to provide useful data to a wide range of industries. This course will also focus of the use of drone field software (DroneDeploy, eMotion, DJI Go etc.) and image processing software (Pix4D, Agisoft etc).
- Registration: Please register at: Register
- Training Intake: Feb, May, Aug and Nov every year.
- Location: Nairobi, KENYA
- Duration: 10 Days
- Training Fee: Kshs. 80,000 or USD 850 {NB: Up to 30% discount for: (i) University/College students) (ii) A group of 5 or more participants}