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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