In previous posts, we’ve scanned whole cities, cliff faces, down to small things like ukuleles and tiny pits to identify difficult to identify plants. This post goes in a slight different direction, doing a bit of a meta-scan of another kind of voucher: animal bones. I wanted to figure out what other interesting use cases there are for OpenDroneMap. For example, could we use it … Continue reading Scanning the samples with OpenDroneMap
In a previous post, I linked to a video I did on making good and affordable espresso. Now I link to a similar video on affordable mocha making. BTW, I have relegated my ROK grinder to backup duty: the 1ZPresso is now my goto, and better yet, my coffee is always freshly ground, no matter where I am. Yup. More on that later. Once again, … Continue reading Affordable Mocha
In previous posts in this series here and here II and here III here IV, we’ve worked through a surprising use case in OpenDroneMap: unreferenced imagery for general 3D reconstruction. Let us take this one step further toward 3D construction. If we have a model that we can georeference (✔️) and thus can do things like create contours (✔️) then maybe we can use these … Continue reading 3D Reconstructing… everything, part cinq: the beginnings of 3D construction
Thanks to the tireless work of the folks behind the Zanzibar Mapping Initiative, I have been exploring the latest settings in OpenDroneMap for processing data over Stone Town. I managed to get some nice looking orthos from the dataset: But, excitingly, I was able to extract some nice looking surface models from the dataset too. This required using the Brown-Conrady model that recently got added … Continue reading Stone Town Digital Surface Model
Introduction For a long time, I have wanted to do a little bit of integration between OpenDroneMap and blender. A while back, we got a great contribution of some scripts to help us with that integration: https://github.com/OpenDroneMap/ODM/tree/master/contrib/blender So today, I wanted to play around a bit with bringing objects into blender and animating and lighting the scene. It took a little bit of orienting myself, … Continue reading OpenDroneMap + blender = Fun (Part 2)
One of my favorite aspects of drone mapping is, since it is 1) under our personal control 2) high resolution and 3) can collect data even when it’s cloudy, it’s possible to observe and document ephemeral phenomena that otherwise might not be captured by satellite or manned aircraft imagery. To that end we mapped lake ice yesterday. We have been flying a series of videos … Continue reading Mapping the ephemeral
LiDAR and photogrammetric point clouds If we want to understand terrain, we have a pricey solution and an inexpensive solution. For a pricey and well-loved solution, LiDAR is the tool of choice. It is synoptic, active (and therefore usable day or night), increasingly affordable (but still quite expensive), and works around even thick and tall evergreen vegetation (check out Oregon’s LiDAR specifications as compared with … Continue reading Reconstructing cliffs in OpenDroneMap, or how to beat LiDAR at its own game
I had the pleasure a couple weeks ago of attending the sibling conferences Understanding Risk West and Central Africa and State of the Map Africa in Côte d’Ivoire (Ivory Coast) a few weeks ago. It included a nice mix of formal discussions of how to reduce risk in light of climate change, as well as discussions of all aspects of OpenStreetMap efforts. The conferences were … Continue reading OpenDroneMap in Côte d Ivoire for UR Afrique de l ouest et centrale and State of the Map Africa
American Red Cross International Services Division continues their development of Portable OpenStreetMap, or POSM, in the latest 0.9 release. The concept is simple: use the full ecosystem of OpenStreetMap tools and sibling projects to deliver better geospatial data for aid and recovery wherever Red Cross goes. In the case of integration of OpenDroneMap, the challenge has been one of compute power: how does one, for … Continue reading Wrasseling with the Passel
There is no excerpt because this is a protected post. Continue reading Protected: Optimizing flight planning for reducing lens distortion
