Excellent! Mind if we share this around a bit?
thanks! and new forest ecology paper using Map Pilot for iOS
Hi Zane, the Map Pilot team, and fellow Map Pilot users,
I want to share some new forest ecology work of ours that was just published that relied heavily on drone methodology. We used structure from motion photogrammetry from over 400,000 photos to map, measure, and classify trees in California after a mass tree die-off to investigate some of the most likely factors explaining the spatial patterns of tree mortality rates.
We conducted these flights back in 2018, and the *only* way we were able to do so safely and confidently in the hilly, forested terrain was by relying on your flight software. After several false starts with other flight software, I still remember being overjoyed at watching my aircraft successfully climb and navigate the terrain the first time I used Map Pilot!
Here's the paper: https://www.nature.com/articles/s41467-020-20455-y
We also released all of our data (including original images) from the RGB camera (DJI Zenmuse X3) and the Multispectral camera (Micasense Rededge3) in case that's useful: https://osf.io/3cwf9/files/ (see the data organization scheme as Figure 4 in the paper linked above, or as the ASCII tree on the GitHub repository readme (https://github.com/mikoontz/local-structure-wpb-severity).
I wanted to thank you all in particular for your willingness to adopt several feature requests/bug fixes that we corresponded about as I was doing this project. From our Acknowledgements section: "We gratefully acknowledge the Map Pilot for iOS team (who implemented several feature requests that helped us conduct our drone flights), Pix4D (which provided free cloud infrastructure for much of the Structure from Motion photogrammetry processing), and the Open Science Framework (who facilitated the public access to our complete dataset)."
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Please do share far and wide as you see fit!
The paper is open access, so it should always be free and accessible by that link (https://www.nature.com/articles/s41467-020-20455-y).
The goal is to put it in front of as many people as possible if there's a chance they'd find it interesting or useful :)
Michael Koontz: Nice to see that Map Pilot worked well for fellow ecologists. Here in Russian Far East we will try to use it for large-scale mapping of Pacific salmon spawning nests.
We tried Litchi, Dronelink, 3DSurvey Pilot, Pix4dCaprure and many other mission planners. Now testing Map Pilot and first impressions of this app are far better than those of above mentioned.
The main challenge is working in harsh internet-free environment for extended time periods. To make thing even more challenging we do a lot of unplanned, opportunistic mapping. Missions are often planned right away, based on what we see along survey route. Something similar to what is mentioned here - https://support.dronesmadeeasy.com/hc/en-us/community/posts/360040171711-Using-Map-Pilot-offline-to-map-South-Georgia-in-the-South-Atlantic-with-some-serious-terrain
Fortunately, Map Pilot has unlimited caching for basemaps and DEM, unlike apps we tested previously.