Airspace — A deep rabbit hole

In previous maps we looked at Class B, C, and D airspace. Let’s add in Class E0 and E5… (not yet in 3D): (Map tiles by Stamen Design, under CC BY 3.0. Data by OpenStreetMap, under ODbL) Previous posts: https://smathermather.wordpress.com/2014/10/25/airspace-is-complicated-and-so-i-abuse-postgis-once-again/ and https://smathermather.wordpress.com/2014/10/25/airspace-is-complicated-and-so-i-abuse-postgis-once-again-reprise/ Continue reading Airspace — A deep rabbit hole

Airspace is complicated — and so I abuse PostGIS once again — Reprise…

In the previous post: https://smathermather.wordpress.com/2014/10/25/airspace-is-complicated-and-so-i-abuse-postgis-once-again/ we explore the 3D shape and complexity of controlled airspace. Now here’s the rest of the code. We’ll add our affine transformation ala Seth Fitsimmons: And integrate that into our original function: And voila! Let’s take a look at Washington, DC and surrounds, another nice complicated example: And again with map tiles by Stamen Design, under CC BY 3.0. Data … Continue reading Airspace is complicated — and so I abuse PostGIS once again — Reprise…

Airspace is complicated — and so I abuse PostGIS once again

Let’s ignore for a moment the drone hobbiest / enthusiast. What is the shape of airspace for airplanes and commercial and government unmanned aircraft flying under Certificates of Authorization, and how can we visualize it? Thanks to Anita in the last post, we have the Class B,C,D,E Airspace Shape Files which helps us define the overall shape of controlled airspace. But, these are 3D things. … Continue reading Airspace is complicated — and so I abuse PostGIS once again

OpenDroneMap — The MOVIE

Apparently travelling for 20 days straight back and forth through 3 time zones across 13 hours of time difference  makes me calmer, more rational, and a better presenter than normal. All 27 minutes and 35 seconds. And then don’t forget to check out the rest: http://vimeo.com/foss4g Continue reading OpenDroneMap — The MOVIE

OpenDroneMap and the art of sneakernet packet making

Current scene in the smathermather household — OpenDroneMap sneakernet packets being produced for training 53 people in OpenDroneMap on Monday. (Yes, I’m using rsync, not tar. Old dog. New tricks.) edit: let’s throw some code up there, ugly though it may be:   Continue reading OpenDroneMap and the art of sneakernet packet making

OpenDroneMap — Art and Science

I consider myself an artist and scientist. I’ll confess I have let the art go fallow some in recent years, but these are two sides of one coin. If you like either, and especially if you like both, you should check out Tobias Research. I met Michele at FOSS4G, where from the moment she saw my presentation on OpenDroneMap to using it to create a … Continue reading OpenDroneMap — Art and Science

Announcing OpenDroneMap — Software for civilian (and humanitarian?) UAS post processing

This past Friday at FOSS4G in Portland, I announced the (early) release of OpenDroneMap, a software toolchain for civilian (and humanitarian?) UAS/UAV image processing. The software is currently a simple fork of https://github.com/qwesda/BundlerTools, and will process from unreferenced overlapping photos to an unreferenced point cloud. Directions are included in the repo to create a mesh and UV textured mesh as the subsequent steps, but the … Continue reading Announcing OpenDroneMap — Software for civilian (and humanitarian?) UAS post processing

From Dobongsan to Mount Saint Helens — FOSS4Gs and OpenDroneMap

I’ve touched down and started to settle into Tri-Met country not too long after returning from FOSS4G Korea. The public transit is great, the city vibrant with the warmth of a small town, and the energy of an enclave in a big city, and it’s also slightly surreal, now that I’m back where I am no longer, as Paul Ramsey put it, functionally illiterate. Functionally … Continue reading From Dobongsan to Mount Saint Helens — FOSS4Gs and OpenDroneMap

FOSS4G Korea 2014, poor GPS photos, and mapillary (part 2 of n)

A classic and age old problem in GPS is collecting potentially wonderful data in the field, getting back the office, and realizing a lot of manual scrubbing, data massaging, and other such careful work will need to be done to make the GPS data useful and meaningful. This assumes we can even meaningfully correct it at all. This is true too (maybe especially) for GPS … Continue reading FOSS4G Korea 2014, poor GPS photos, and mapillary (part 2 of n)

FOSS4G Korea 2014, poor GPS photos, and mapillary

As I have been moving around, whether traveling to Seoul or within Seoul, I have taken a lot of pictures. Some have GPS and I’ve processed to sent to Mapillary, like a few hundred I took on a day wandering Seoul: I’ve taken a lot of strange videos too. I took a couple videos of my feet in the subway train just to get the … Continue reading FOSS4G Korea 2014, poor GPS photos, and mapillary