<div dir="ltr"><br><div class="gmail_extra"><br><div class="gmail_quote">On Fri, May 15, 2015 at 10:35 AM, Nuno Sá <span dir="ltr"><<a href="mailto:nunocesardesa@gmail.com" target="_blank">nunocesardesa@gmail.com</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">I've got the same questions :)<div><br></div><div>How will you get the DTM if you don't have info on the ground ? </div><div><br></div><div>I did some search for publications but couldn't find if there were any methods just by using UAV data, do you have any recommendations?</div><div><br></div><div>Ciao!</div><div>Nuno</div></div><div class="gmail_extra"><br><div class="gmail_quote"><div><div>On 15 May 2015 at 14:40, Adam Laža <span dir="ltr"><<a href="mailto:ad.laza32@gmail.com" target="_blank">ad.laza32@gmail.com</a>></span> wrote:<br></div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div><div dir="ltr"><div class="gmail_quote">Hi all,<div dir="ltr"><div class="gmail_quote"><div><div><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><font color="#000000"></font><div><font color="#000000"><br></font></div><div><font color="#000000">I've got some data from UAS (SenseFly eBee) exported as point cloud. I'd like to ask if there's any way how to classify the data in GRASS. As an input I have a point cloud exported in .las or .txt file. As an output I need another .las file containing only terrain (I need to filter out objects, buildings and vegetation) for next step which is generating DTM.</font></div><div><font color="#000000"><br></font></div><div><font color="#000000">I've already tried some modules, import(r.in.lidar, v.in.lidar) works well. Then I focused on v.lidar.* modules (v.lidar.edgedetection, v.lidar.growing, v.lidar.correction) but already the first step of recognizing and extracting object didn't work for me. I suppose it's due to the v.lidar.* modules need data only from LiDAR, but I have data from phtogrammetry (eBee carries Canon RGB camera).</font></div><div><font color="#000000"><br></font></div><div><font color="#000000">Any idea how to classify my data?</font></div></div></div></div></div></div></div></div></div></div></div></div></blockquote></div></div></blockquote><div><br></div><div>Hi,</div><div><br></div><div>I haven't tried v.lidar.* modules, because I typically work with already classified lidar, what exactly was the problem? </div><div><br></div><div>Generally, you it would be difficult to get ground from UAV data because the point cloud represents only surface (unlike lidar where you get multiple returns). You could compare the point cloud with some coarser digital terrain model and high differences would mean that there is some vegetation or buildings.</div><div><br></div><div>Anna</div><div><br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div class="gmail_extra"><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div class="gmail_quote"><div><div><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div><font color="#000000"><br></font></div><div><font color="#000000">Thank in advance,</font></div><div><font color="#000000">Adam</font></div></div>
</div><font color="#000000"><br></font></div><div><font color="#000000">Data sample at google drive:</font></div><div><font color="#000000">las:</font></div>
</div></div></div><font color="#000000"><a href="https://drive.google.com/file/d/0B3qa8r8b0sq0TTdnSVNHdE1UQ2M/view?usp=sharing" target="_blank">https://drive.google.com/file/d/0B3qa8r8b0sq0TTdnSVNHdE1UQ2M/view?usp=sharing</a></font><div><font color="#000000">txt:<br></font><div><font color="#000000"><a href="https://drive.google.com/file/d/0B3qa8r8b0sq0NVFRMmNEZHNkbDA/view?usp=sharing" target="_blank">https://drive.google.com/file/d/0B3qa8r8b0sq0NVFRMmNEZHNkbDA/view?usp=sharing</a></font><br></div></div></div>
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