<div dir="ltr">Haven't seen it in practice, though I do have an idea whom I could ask. The "pattern" I mean is that there is a special kind of randomness to the data: whereas buildings tend to be high or low according to a regular geometric form, a tree has high points (where the beam touches a high branch or leaf) and low points (where the beam goes all the way down to the ground or a lower branch/leaf). If you visualise the raw data, it should be quite obvious to the human eye.</div><div class="gmail_extra"><br><div class="gmail_quote">2017-10-23 15:39 GMT+02:00 Glenn Plas <span dir="ltr"><<a href="mailto:glenn@byte-consult.be" target="_blank">glenn@byte-consult.be</a>></span>:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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Do you have more information on that algorithm (I assume this is
what you mean by special pattern) ? <br>
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Quite interested in trying to get this from elevation data. <br><span class="HOEnZb"><font color="#888888">
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Glenn<br>
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<div>An interesting thing about raw lidar data is that it can
help identify trees, as they have a special kind of pattern in
the data. So you could use processed data to identify
potentially missing landuse=forest / tree rows / trees.</div>
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<div dir="ltr">Joost Schouppe<br>
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</blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr">Joost Schouppe</div><div dir="ltr"><a href="http://www.openstreetmap.org/user/joost%20schouppe/" target="_blank">OpenStreetMap</a> | <a href="https://twitter.com/joostjakob" target="_blank">Twitter</a> | <a href="https://www.linkedin.com/pub/joost-schouppe/48/939/603" target="_blank">LinkedIn</a> | <a href="http://www.meetup.com/OpenStreetMap-Belgium/members/97979802/" target="_blank">Meetup</a></div></div></div></div></div></div></div></div>
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