What Accuracy Can You Expect?
There are a number of factors that affect accuracy, which we will explain at length in a post next week. But in general, given average conditions and a typical drone, you can expect approximately the following ranges of accuracy:
Relative accuracy: Is typically a multiple of your data’s average Ground Sampling Distance (GSD). The horizontal relative accuracy is 2x GSD (for example, if your GSD is 2 cm/pixel, the horizontal accuracy will be approximately 4 cm) and the vertical relative accuracy is typically 3x GSD.
GSD refers to the number of pixels per centimeter of your data. The higher the number of pixels per centimeter, the greater the relative accuracy of your map.
Absolute horizontal accuracy: approximately 1 meter (3ft)
If you draw a circle around you with a 1 meter radius, and give someone your GPS location, you can expect them to turn up somewhere within this circle.
Absolute vertical accuracy: approximately 3 meters (9ft)
As a rule of thumb, the absolute vertical accuracy of a map will be around 3 times worse than its absolute horizontal accuracy
This is just an example of the accuracy you might see out-of-the-box with a standard drone. However, accuracy is highly dependent upon the drone you use and the quality of the data you collect, and it is possible to use drones to make maps to within centimeter accuracy. Stay tuned for the next post on accuracy to learn best practices to improve the accuracy of your maps.
Where to Learn More
Read more about Martin Remote Sensing learned when they compared the accuracy of drone surveys to GPS ground surveys.
Download our free whitepaper to get a better understanding of the accuracy you can expect from DJI drones with and without the use of ground control points.
For more great information about some of the tools mentioned here, take a look at our support documentation: