[HOT] Terrapattern: query-by-example for satellite imagery

Blake Girardot HOT/OSM blake.girardot at hotosm.org
Thu May 26 17:34:08 UTC 2016

The about page is long, but well worth a full read to the end:


OSM data played a real role in the project, and that means everyone
here played a real role.

It is intended as a humanitarian project and seems to touch on a lot
of the issues humanitarian response and mapping faces on a regular
basis. It is pretty nice it is all open source. I am sure OSM and HOT
will be reaching out to them to see how we can all work better

The Knight Foundation sponsored it in part, they support the most
amazing projects.

Please feel free to keep sharing ideas after reading their about page.

Thank you martind for putting the link in IRC and email :)


Blake Girardot
Humanitarian OpenStreetMap Team
Vice President, HOT Board of Directors
skype: jblakegirardot
HOT Core Team Contact: info at hotosm.org

On Thu, May 26, 2016 at 5:09 PM, joost schouppe
<joost.schouppe at gmail.com> wrote:
> It is not, at least not at this time. For example, I tried finding airports
> by clicking on a plane. It returns some planes and a lot of asphalt. It
> might however be useful to quickly identify a very rough outline of built up
> land or roads. In my case: airports did show up as hotspots. So it might be
> useful to direct mapping activity.
> 2016-05-26 16:51 GMT+02:00 Paul Uithol <paul.uithol at hotosm.org>:
>> That sounds quite interesting - I'm wondering if it could be accurate
>> enough to use as a tool for automatically tracing/classifying/tagging
>> features based on imagery in some scenarios? I imagine the error rate would
>> be quite a lot higher than with proper mapping, but in some situations
>> having a fast initial assessment (before focusing on accuracy) is useful?
>> On 26-05-2016 12:57, Martin Dittus wrote:
>> Made the rounds on social media yesterday, I imagine a few of you have
>> already seen it.
>> http://www.terrapattern.com/
>> It’s a visual search for aerial imagery — "a prototype for helping people
>> quickly scan extremely large geographical areas for specific visual
>> features”. You mark a desired feature, it finds all other occurrences.
>> Their case studies mention OSM as a source data set, but they don’t yet
>> appear to be talking to anyone at HOT? "Terrapattern was only possible due
>> to the astonishing crowdsourced mapping effort of the OpenStreetMap project,
>> which has generously categorized large parts of the world with its Nominatim
>> taxonomy”.
>> m.
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