<div dir="ltr">This is an interesting discussion. As a tree farmer and professional forester I am offended by the suggestion that a harvested area is different landuse from areas that are in other stages of forest growth. <div>I understand the need to avoid current logging operations, but I would say that crowd sourced mapping is not the place to get that information. There are so many basic features missing from OSM, spending effort to collect vegetative landcover seems like a lower need, especially considering the fact that in a relatively short period of time the vegetative signature will be different.</div><div><br></div><div>Emmor Nile</div><div>Palolo</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Mon, Apr 10, 2017 at 1:55 AM, Clifford Snow <span dir="ltr"><<a href="mailto:clifford@snowandsnow.us" target="_blank">clifford@snowandsnow.us</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div class="gmail_extra"><br><div class="gmail_quote">On Sun, Apr 9, 2017 at 3:06 PM, Warin <span dir="ltr"><<a href="mailto:61sundowner@gmail.com" target="_blank">61sundowner@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><br>
I would also like to know when a harvest is planed, so I can avoid
the area when that is taking place (traffic, noise and dust). <br>
<br>
Where an area has been clear felled, replanted and is now thick..
they usually do a selective harvest to thin it out and leave the
best trees for future harvest. So there may be a need to tag that
too? <br>
<br>
Other crops of a long term nature? The ones I can think of are all
tree related e.g. sandalwood. <br>
<br>
Satellite imagery is not much use for this. <tt> </tt></blockquote></div><br>Have you considered using landsat-8 or sentinel-2 to get current landcover using the QGIS plugin Semi-Automatic Classification? Landviewer [1] has a nice interface for finding imagery that is cloud free and of recent vintage? The learning curve to landcover classification is a bit steep, but it should be sufficiently accurate for remote areas. I live in an area that is next to forested areas that is constantly being clear cut - with only logging roads to show human involvement. Being in the US's Pacific Northwest, I have to look for late fall to get cloud free imagery. </div><div class="gmail_extra"><br></div><div class="gmail_extra">If you do consider using data you derive, you definitely need to discuss it on the import list as well as with your local community.</div><div class="gmail_extra"><br></div><div class="gmail_extra">Clifford</div><div class="gmail_extra"><br></div><div class="gmail_extra">[1] <a href="https://lv.eosda.com" target="_blank">https://lv.eosda.com</a><span class="HOEnZb"><font color="#888888"><br><br clear="all"><div><br></div>-- <br><div class="m_-6171039329829657603gmail_signature"><div dir="ltr"><div>@osm_seattle<br></div><div><a href="http://osm_seattle.snowandsnow.us" target="_blank">osm_seattle.snowandsnow.us</a></div><div>OpenStreetMap: Maps with a human touch</div></div></div>
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