<html><body><div style="color:#000; background-color:#fff; font-family:arial, helvetica, sans-serif;font-size:10pt">Hi Paul <br><div><br></div><div>Thanks for the imagery assembling for the Niger Delta in Mali.<br><span></span></div><div style="color: rgb(0, 0, 0); font-size: 13.3333px; font-family: arial,helvetica,sans-serif; background-color: transparent; font-style: normal;"><span><br></span></div><div style="color: rgb(0, 0, 0); font-size: 13.3333px; font-family: arial,helvetica,sans-serif; background-color: transparent; font-style: normal;"><span>On march 14, COVABAR has organized a conference on the use of geomatic for agriculture management. A consortium bought Lidar imagery for a large portion of the Richelieu valley in Quebec. Various presentations showed how this imagery </span>is used for <span><span class="hps">modeling of</span> <span class="hps">landforms and to contribute to a better</span> management of
agriculture.<br></span></div><div style="color: rgb(0, 0, 0); font-size: 13.3333px; font-family: arial,helvetica,sans-serif; background-color: transparent; font-style: normal;"><br><span></span></div><div style="color: rgb(0, 0, 0); font-size: 13.3333px; font-family: arial,helvetica,sans-serif; background-color: transparent; font-style: normal;"><span></span><span>Evan Rodgers from Agriculture Canada in Manitoba made an interesting presentation about the utilization of the Lidar technology. </span><span><span class="hps">In addition to</span> <span class="hps">multispectral analysis, </span>these laser radars mounted on an airplane detect quite precisely the elevations. When you have a high density of measured points, the Visual recognition systems can detect forms, trace buildings and determine landuse (ie. trees, shrub, grass, wetland, water, etc.). The software used by Evan work with a script where you establish various criterias to
detect and classify objects. These can be filtered and presented as various layers. This also trace elevations, detect depressions and where the water circulates.<br></span></div><div style="color: rgb(0, 0, 0); font-size: 13.3333px; font-family: arial,helvetica,sans-serif; background-color: transparent; font-style: normal;"><br><span></span></div> <br><div><span style="font-style:italic;color:rgb(0, 0, 191);font-weight:bold;">Pierre <br></span><br><blockquote style="border-left: 2px solid rgb(16, 16, 255); margin-left: 5px; margin-top: 5px; padding-left: 5px;"> <div style="font-family: arial, helvetica, sans-serif; font-size: 10pt;"> <div style="font-family: times new roman, new york, times, serif; font-size: 12pt;"> <div dir="ltr"> <font face="Arial" size="2"> <hr size="1"> <b><span style="font-weight:bold;">De :</span></b> Paul Norman <penorman@mac.com><br> <b><span style="font-weight: bold;">À :</span></b>
talk@openstreetmap.org <br> <b><span style="font-weight: bold;">Envoyé le :</span></b> Samedi 23 mars 2013 14h27<br> <b><span style="font-weight: bold;">Objet :</span></b> [OSM-talk] Imagery talk ideas<br> </font> </div> <br>I might be giving a talk to the local remote sensing industry association<br>(think multi-spectral imagery, LIDAR, etc), but don't have any clear talk<br>ideas and was looking for some.<br><br>The two ideas I had were<br><br>- How OSM uses imagery. The imagery part might be too basic for the<br>audience, but the crowd-sourcing part might be interesting<br><br>- Multi-spectral imagery in humanitarian response efforts. Something based<br>on the infrared landsat imagery I assembled for HOT in Mali<br><br>Any thoughts?<br><br><br>_______________________________________________<br>talk mailing list<br><a ymailto="mailto:talk@openstreetmap.org" href="mailto:talk@openstreetmap.org">talk@openstreetmap.org</a><br><a
href="http://lists.openstreetmap.org/listinfo/talk" target="_blank">http://lists.openstreetmap.org/listinfo/talk</a><br><br><br> </div> </div> </blockquote></div> </div></body></html>