<div dir="ltr"><h1 class="gmail-post-title" style="box-sizing:border-box;margin-bottom:0.5rem;font-weight:bold;line-height:1.25;color:rgb(48,48,48);font-size:2rem;margin-top:0px;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">Nº850: signals, floods, leafiness, extraction</h1><p class="gmail-post-date" style="box-sizing:border-box;margin-bottom:1rem;display:block;color:rgb(154,154,154);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:18px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial"><time datetime="2018-04-18T00:00:00+02:00" style="box-sizing:border-box">Wed, 18 Apr 2018</time><span> </span>by Raf</p><ul style="box-sizing:border-box;margin-top:0px;margin-bottom:1rem;color:rgb(81,81,81);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:18px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial"><li style="box-sizing:border-box">A new version of the JOSM plugin to automatically detect vertical traffic signals from pictures<span> </span><br style="box-sizing:border-box"><a href="http://blog.improve-osm.org/en/2018/04/new-version-of-openstreetcam-josm-plugin-with-sign-detections/" style="box-sizing:border-box;color:rgb(38,139,210);text-decoration:none;font-size:1em">http://blog.improve-osm.org/en/2018/04/new-version-of-openstreetcam-josm-plugin-with-sign-detections/</a></li><li style="box-sizing:border-box">Using satellite imagery to detect flooded roads using deep learning techniques for recovery after natural disasters<span> </span><br style="box-sizing:border-box"><a href="https://blog.insightdatascience.com/deep-learning-for-disaster-recovery-45c8cd174d7a" style="box-sizing:border-box;color:rgb(38,139,210);text-decoration:none;font-size:1em">https://blog.insightdatascience.com/deep-learning-for-disaster-recovery-45c8cd174d7a</a></li><li style="box-sizing:border-box">Using NDVI index applied to vegetation around roads to discover how greens cities are, especially around rich neighborhoods<span> </span><br style="box-sizing:border-box"><a href="http://blog.rtwilson.com/roadside-leafiness-from-space-part-1/" style="box-sizing:border-box;color:rgb(38,139,210);text-decoration:none;font-size:1em">http://blog.rtwilson.com/roadside-leafiness-from-space-part-1/</a></li><li style="box-sizing:border-box">Self-learning challenges with deep learning to automatically extract buildings and transport network using satellite imagery using open source software and data<span> </span><br style="box-sizing:border-box"><a href="http://explore.digitalglobe.com/spacenet" style="box-sizing:border-box;color:rgb(38,139,210);text-decoration:none;font-size:1em">http://explore.digitalglobe.com/spacenet</a></li></ul><div><font color="#515151" face="Helvetica Neue, Helvetica, Arial, sans-serif"><span style="font-size:18px"><br></span></font></div>
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