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Hilltop Arboretum Landform Dataset for GRASS GIS

<p><strong>Hilltop Arboretum&nbsp;Dataset for GRASS GIS</strong></p> <p>This geospatial dataset contains raster data for the landform at Hilltop Arboretum, Baton Rouge, Louisiana, USA. This data was collected in an aerial survey with a DJI Phantom 4 Pro drone over Hilltop Arboretum on 12/31/2019 by Brendan Harmon and Josef Horacek. The aerial photographs were processed in Agisoft Metashape using Structure from Motion (SfM) to generate a point cloud, orthophotograph, and digital surface model. The point cloud was processed in CloudCompare to generate a bare earth point cloud. The orthophoto, digital surface model, and bare earth point cloud were imported into GRASS GIS. The bare earth point cloud was interpolated as a digital elevation model using the Regularized Spline with Tension method. The top level directory <em>lousiana_s_spm_hilltop</em>&nbsp;is a GRASS GIS location for the North American Datum of 1983 (NAD 83) / Louisiana South State Plane Meters with <a href="https://epsg.io/26982">EPSG code 26982</a>. Inside the location there are the PERMANENT mapset, a license file, and readme file.</p> <p><strong>Survey</strong></p> <ul> <li>Location: LSU Hilltop Arboretum, Baton Rouge, Louisiana, USA.</li> <li>Drone: DJI Phantom 4 Pro</li> <li>Software: Agisoft Metashape, CloudCompare, GRASS GIS</li> <li>Team: Brendan Harmon and Josef Horacek</li> <li>Date: 12/31/2019</li> <li>GCPs: 10 AeroPoints</li> </ul> <p><strong>Instructions</strong><br> Install <a href="https://grass.osgeo.org/">GRASS GIS</a>, unzip this archive, and move the location into your <a href="https://grass.osgeo.org/grass77/manuals/grass_database.html">GRASS GIS database</a>&nbsp;directory. If you are new to GRASS GIS read the <a href="https://grass.osgeo.org/documentation/first-time-users/">first time users guide</a>.</p> <p><strong>License</strong><br> This dataset is licensed under the&nbsp;<a href="https://opendatacommons.org/licenses/pddl/index.html">ODC Public Domain Dedication and License 1.0 (PDDL)</a>&nbsp;by Brendan Harmon.</p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
8
Reuse readiness
0
Engagement
4

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