10.5880/fidgeo.2022.002 eng dataset GFZ German Research Centre for Geosciences datapub@gfz-potsdam.de http://www.gfz-potsdam.de Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences pointOfContact 2023-06-12 urn:ogc:def:crs:EPSG:4326 (LiDAR) 3D Point Clouds and Topographic Data from the Chilean Coastal Cordillera 2023-06-12 revision 2021-12-20 creation doi:10.5880/fidgeo.2022.002 Kügler, Malte Federal Institute of Hydrology, Koblenz, Germany author Hoffmann, Thomas O. Federal Institute of Hydrology, Koblenz, Germany author Beer, Alexander R. Department of Geosciences, University of Tübingen, Tübingen, Germany author Übernickel, Kirstin Department of Geosciences, University of Tübingen, Tübingen, Germany author Ehlers, Todd A. Department of Geosciences, University of Tübingen, Germany author Scherler, Dirk GFZ German Research Centre for Geosciences, Potsdam, Germany author Eichel, Jana Utrecht University, Utrecht, Netherlands author GFZ Data Services publisher The DFG Priority Program 1803 “EarthShape” (www.earthshape.net) investigates Earth surface shaping by biota. As part of this project, we present Light Detection and Ranging (LiDAR) data of land surface areas for the four core research sites of the project. The research sites are located along a latitudinal gradient between ~26 °S and ~38 °S in the Chilean Coastal Cordillera. From north to south, the names of these sites are: National Park Pan de Azúcar; Private Reserve Santa Gracia; National Park La Campana; and National Park Nahuelbuta. The three datasets contain raw 3D point cloud data captured from an airborne LiDAR system, and the following derivative products: a) digital terrain models (DTM, sometimes also referred to as DEM [digital elevation model]) which are (2.5D) raster datasets created by rendering only the LiDAR returns which are assumed to be ground/bare-earth returns and b) digital surface models (DSM) which are also 2.5D raster datasets produced by rendering all the returns from the top of the Earth’s surface, including all objects and structures (e.g. buildings and vegetation). The LiDAR data were acquired in 2008 (southernmost Nahuelbuta [NAB] catchment), 2016 (central La Campana [LC] catchment) and 2020 (central Santa Gracia [SGA] catchment). Except for Nahuelbuta (data already was available from the data provider from a previous project), the flights were carried out as part of the "EarthShape" project. The LiDAR raw data (point cloud/ *.las files) were compressed, merged (as *.laz files) and projected using UTM 19 S (UTM 18 S for the southernmost Nahuelbuta catchment, respectively) and WGS84 as coordinate reference system. A complementary fourth dataset for the northernmost site in the National Park Pan de Azúcar, derived from Uncrewed Aerial Vehicle (UAV) flights and Structure from Motion (SfM) photogrammetry, is expected to be obtained during the first half of 2022 and will be added to the above data set. Kügler, Malte Federal Institute of Hydrology, Koblenz, Germany PhD Student kuegler@bafg.de www.bafg.de informtion pointOfContact 3D point cloud LiDAR scanner Elevation Models EarthShape Chile Coastal Cordillera Private Reserve Santa Gracia National Park La Campana National Park Nahuelbuta Earth Remote Sensing Instruments > Active Remote Sensing > Altimeters > Lidar/Laser Altimeters > AIRBORNE LASER SCANNER GCMD Instruments publication EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TOPOGRAPHICAL RELIEF EARTH SCIENCE > SPECTRAL/ENGINEERING > LIDAR EARTH SCIENCE SERVICES > MODELS > LAND SURFACE MODELS NASA/GCMD Earth Science Keywords publication Models/Analyses > DEM GCMD Platforms publication radiation > laser GEMET - INSPIRE themes, version 1.0 publication CC BY 4.0 CC BY 4.0 https://www.earthshape.net/ URL References 10.1371/journal.pone.0264408 DOI IsSupplementTo 10.1016/j.catena.2018.06.018 DOI Cites 10.1130/GES01017.1 DOI Cites 10.1016/j.epsl.2018.02.026 DOI Cites eng geoscientificInformation -70.5619 -70.4842 -26.173 -26.1081 2022-04-01 2022-04-03 -71.1785 -71.088 -29.7883 -29.6649 -71.1205 -71.0111 -32.9907 -32.92 -73.0337 -72.9179 -37.8278 -37.7826 http://doi.org/10.5880/fidgeo.2022.002 WWW:LINK-1.0-http--link Data Access - DOI Data Access - DOI information