<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;text-decoration-style:initial;text-decoration-color:initial">Nº919: cloudless, point clouds, accidents</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;text-decoration-style:initial;text-decoration-color:initial">Tue, 24 Jul 2018<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;text-decoration-style:initial;text-decoration-color:initial"><li style="box-sizing:border-box">An almost cloud-free Sentinel-2 coverage, with data between May 2016 and April 2017, and made available as Open Data<span> </span><br style="box-sizing:border-box"><a href="https://s2maps.eu/" style="box-sizing:border-box;color:rgb(38,139,210);text-decoration:none;font-size:1em">https://s2maps.eu/</a></li><li style="box-sizing:border-box">Open Source and a stable community of developers converting picture sequences into point clouds ready for 3D reconstruction<span> </span><br style="box-sizing:border-box"><a href="https://doxel.org/" style="box-sizing:border-box;color:rgb(38,139,210);text-decoration:none;font-size:1em">https://doxel.org/</a></li><li style="box-sizing:border-box">Massive accident and weather data analysis with machine learning techniques to predict transit accident locations<span> </span><br style="box-sizing:border-box"><a href="https://medium.com/geoai/using-machine-learning-to-predict-car-accident-risk-4d92c91a7d57" style="box-sizing:border-box;color:rgb(38,139,210);text-decoration:none;font-size:1em">https://medium.com/geoai/using-machine-learning-to-predict-car-accident-risk-4d92c91a7d57</a></li></ul><div class="gmail-rafaga-content" style="box-sizing:border-box;font-size:smaller;color:rgb(81,81,81);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;text-decoration-style:initial;text-decoration-color:initial"></div><p 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;text-decoration-style:initial;text-decoration-color:initial">Raf (81)</p><p 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;text-decoration-style:initial;text-decoration-color:initial"><br></p></div>