Resolution and Coverage Testing for Phantom 2 Vision+ UAV Imagery for Mapping

A few days back, I sent up our new DJI Phantom 2 Vision+ above the Mansfield football stadium for some imagery testing, and published a blog on doing lens corrections for mapping. Now, I’m going to take those corrected images to the next step and test their resolution and coverage to see how effective this equipment is for providing high-quality, high-resolution and low-cost remote sensing imagery for mapping applications. In a future post, I’ll be looking at how much distortion remained in the imagery after the lens correction process.

Continue reading “Resolution and Coverage Testing for Phantom 2 Vision+ UAV Imagery for Mapping”

Lens Correction on DJI Phantom 2 Vision+ for Mapping

The new prevalence and inexpensive nature of UAVs has given cartographers and spatial scientists a great new tool for creating extremely high-resolution (both spatial and temporal) maps of places. At Mansfield, we’ve got several platforms that we’re using — the latest acquisition is the midrange “prosumer” UAV, the DJI Phantom 2 Vision+. At less than $1,200 for a pretty incredible array of features, it’s a pretty good bargain (at least in the realm of scientific equipment, which generally has the same mark-up as illicit drugs) and a great place to start if you’re wanting to experiment with UAV mapping. Continue reading “Lens Correction on DJI Phantom 2 Vision+ for Mapping”

Fun with Maps: Resolution Test GIF

I took the Phantom 2 Vision+ out to do some resolution and lens correction testing this morning. Part of this required using the football field on campus, since it provides some nice measured straight-line geometry that can be used to gauge the resolution and correction to ensure accuracy. Continue reading “Fun with Maps: Resolution Test GIF”

Resolution Tests for MU UAV Imagery

In preparation for Mansfield’s new imaging UAV, I performed some tests with our primary imaging camera today to determine the potential resolution of the sensor, spatial coverage, and its viability for various imaging applications. In estimating the potential power of our sensors, it appears we might be capable of mapping on a scale that is largely unseen (“micro-mapping”), with the drone potentially capable of providing very high resolution remotely sensed imagery. However, testing was needed to confirm such possibility before application of the technology in the field.

Continue reading “Resolution Tests for MU UAV Imagery”