<div dir="ltr"><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div><div style="color:rgb(0,0,0)">Dear Colleagues, <br></div><div style="color:rgb(0,0,0)">I'm happy to announce that our data paper: </div><div style="color:rgb(0,0,0)"><div>"Geomorpho90m: Global High-Resolution Geomorphometric Layers" is finally out!!!</div><div><br></div><div>Mountains, valleys, canyons, plateaus, and ridges are vertical variations of the Earth’s terrain and are driving processes in geomorphology, biogeography, climatology, hydrology and ecology. Their characterisation and assessment, through mathematical morphology algorithms, are crucial to numerous environmental modelling and simulation analyses. Running geocomputation algorithms in the Yale Grace-HPC, our team assembled the Geomorpho90m global geo-dataset, which characterizes 26 standardized geomorphometric variables such as slope, aspect, curvatures, ruggedness and geomorphological forms. </div><div><br></div><div>Publication: <a href="https://www.nature.com/articles/s41597-020-0479-6">https://www.nature.com/articles/s41597-020-0479-6</a></div><div>Data Download: <a href="https://portal.opentopography.org/dataspace/dataset?opentopoID=OTDS.012020.4326.1" target="_blank">https://portal.opentopography.org/dataspace/dataset?opentopoID=OTDS.012020.4326.1</a><br></div><div>WebGis: <a href="https://openlandmap.org/#/?base=Stamen%20(OpenStreetMap)¢er=42.1634,16.0291&zoom=6&opacity=80&layer=dtm_dev-magnitude_merit.dem_m" target="_blank">https://openlandmap.org/#/?base=Stamen%20(OpenStreetMap)¢er=42.1634,16.0291&zoom=6&opacity=80&layer=dtm_dev-magnitude_merit.dem_m</a><br>Manual: <a href="http://spatial-ecology.net/dokuwiki/doku.php?id=topovar90m" target="_blank">http://spatial-ecology.net/dokuwiki/doku.php?id=topovar90m</a><br></div><div><br></div><div>A special thank goes to:</div><div><div><a href="https://twitter.com/BigDataEcology" target="_blank">@BigDataEcology</a> for their assistance in writing the article and great teamwork <br></div><div></div></div><div><a href="https://twitter.com/YaleCRC" target="_blank">@YaleCRC</a> for providing geocomputation facilities<br></div><div><a href="https://twitter.com/OpenTopography" target="_blank">@OpenTopography</a> for hosting the data </div><div><a href="https://twitter.com/opengeohub" target="_blank">@opengeohub</a> for making the dataset available for visualization </div><div><a href="https://twitter.com/OSGeo" target="_blank">@OSGeo </a>for providing amazing open-source tools (GRASS GIS, GDAL, PKtools) for massive geocomputation processes. <br></div><div><br></div><div>Follow us on Tweeter: @BigDataEcology, happy free open data downloading :-) </div><div>Sincerely <br></div></div></div><div><br></div>-- <br><div dir="ltr" class="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div>Giuseppe Amatulli, Ph.D.<br><br>Research scientist at<br>School of Forestry & Environmental Studies<br>Center for Research Computing<br>Yale University</div><div>New Haven, CT, USA</div><div>06511<br><div>
Teaching: <a href="http://spatial-ecology.net" target="_blank">http://spatial-ecology.net</a></div>
Work: <a href="https://environment.yale.edu/profile/giuseppe-amatulli/" target="_blank">https://environment.yale.edu/profile/giuseppe-amatulli/</a> <br></div><div>Tweeter: @BigDataEcology</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>