I failed to make it to the Paris Code Sprint. It just wasn’t in the cards. But, my colleague Dakota and I sprinted anyway, with some help and feedback from the OpenDroneMap community. So, what did we do? Dakota did most of the work. He hacked away at the cmake branch of ODM, a branch set up by Edgar Riba to substantially improve the installation … Continue reading OpenDroneMap — Paris Code Sprint
“Frankfurt Airport tunnel” by Peter Isotalo – Own work. Licensed under CC BY-SA 3.0 via Commons. In my ongoing quest to process all the LiDAR data for Pennsylvania and Ohio into one gigantic usable dataset, I finally had to break down and learn how to do parallel processing in BASH. Yes, I still need to jump on the Python band wagon (the wagon is even … Continue reading parallel processing in PDAL
Two posts precede this one, ODM — the future that awaits, and ODM — the future that awaits (part 이) Ben Discoe has a good point on the first post, specifically: As I see it, the biggest gap is not in smoother uploading or cloud processing in the cloud. The biggest gap is Ground Control Points. Until there’s a way to capture those accurately at a … Continue reading OpenDroneMap — the future that awaits (part 삼)
In my previous post, ODM — the future that awaits, I start to chart out OpenDroneMap beyond the toolchain. Here’s a bit more, in outline form. More narrative and breakdown to come. (this is the gist) Objectives: Take OpenDroneMap from simple toolchain to an online processing tool + open aerial dataset. This would be distinct from and complementary to OpenAerialMap: Explicitly engage and provide a … Continue reading OpenDroneMap — the future that awaits (part 이)
OpenDroneMap could piece together from disparate parts all the pixels for the world:
At a high resolution (spatial and temporal)
For everywhere we can fly
One drone, balloon, and kite flight at a time
And all to be pushed into common and public dataset, built on open source software commonly shared and developed. Continue reading OpenDroneMap — the future that awaits
I have been reading a bit about drone remote sensing of agriculture fields. On one hand, it’s amazing, world changing technology. On the other hand, some part of all of it is bunk. What do I mean? Well, applying techniques created for continent size analyses may not scale down well. Why? Well for one, all those clever techniques (like Normalized Difference Vegetation Index, as well as its non-normalized siblings) rely heavily on two things: 1– being on average right over a large area; 2 — painting with such a broad brush as to be difficult to confirm or refute. Continue reading Reflections on Goldilocks, Structure from Motion, near scale remote sensing, and the special problems therein
Talking about the future sometimes requires critiquing the present. The wonderful thing about an open source project is we can be quite open about limitations, and discuss ways forward. OpenDroneMap is a really interesting and captivating project… and there’s more work to do. To understand what work needs done, we need to understand OpenDroneMap / structure from motion in general. Some of the limitations endemic … Continue reading OpenDroneMap — Improvements Needed
Dirk’s MSF Canada Drone Day is officially the first blog post I have “re-blogged”. Please read: https://smathermather.wordpress.com/2015/07/13/msf-canada-drone-day/ or better yet here: http://dirkgorissen.com/2015/07/14/msf-canada-drone-day/ I had the pleasure of co-presenting with Dirk and Ivan, and the rest is well covered in Dirk’s post. It came together as an excellent day and I think you would be hard pressed to have had a better introduction to drones. The … Continue reading MSF Canada Drone Day follow-up
Citing my previous post, let’s move on to more specifics on my thoughts regarding the integration of OpenAerialMap, OpenDroneMap, and MapKnitter as projects. OpenDroneMap ❤ OpenAerialMap. OpenAerialMap will become a platform by which drone users can share their imagery under an open license. So, as the metadata spec for OpenAerialMap and OpenImageryNetwork matures, and as soon as a publicly available place for drone users to … Continue reading OpenAerialMap, OpenImageryNetwork, MapKnitter, OpenTerrain, and OpenDroneMap (cont. 1)
This tweet: is the beginning of some fruitful discussion, I suspect. There are some really awesome projects gaining momentum. I’ll give an overview of them as best I am able. Let’s start with the one nearest and dearest to my heart (if you’ve been reading my blog, you can skip this part): OpenDroneMap. OpenDroneMap is an open source toolkit for processing drone, balloon, kite imagery … Continue reading OpenAerialMap, OpenImageryNetwork, MapKnitter, OpenTerrain, and OpenDroneMap
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