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.
We present a 3-D lithospheric-scale model covering the area of Germany that images the regional structural configuration. The model comprises 31 lithostratigraphic units: seawater, 14 sedimentary units, 14 crystalline crustal units and 2 lithospheric mantle units. The corresponding surfaces are integrated from previous studies of the Central European Basin System, the Upper Rhine Graben and the Molasse Basin, together with published geological and geophysical data. The model is a result of a combined workflow consisting of 3-D structural, gravity and thermal modelling applied to derive the 3-D thermal configuration.The top surface elevations and thicknesses of corresponding layers of the 3-D-D model are provided as ASCII files, one for each individual layer of the model. The columns in each file are identical: the Easting is given in the “X COORD (UTM Zone 32N)”, the Northing is in the “Y COORD (UTM Zone 32N)”, the top surface elevation of each layer is given as "TOP (m.a.s.l)", the thickness of each layer is given as "THICKNESS (m)".
We present a modular open-source software framework - kite (http://pyrocko.org), written in Python and C. The software enables rapid post-processing of space-born InSAR-derived surface displacement maps, swift parametrization and sub-sampling of the displacement measurements. With our package we aim to ease and streamline the optimization of earthquake source parameters from InSAR and GPS data and facilitate their joint optimization with seismological waveforms in combination with the pyrocko toolbox. Through such joint data optimizations from near- and far-field observations the determination of rupture parameters and processes will become more accurate and robust. Moreover, we present an intuitive kinematic deformation modelling sandbox for handling and manipulating various kinds of tectonic and volcanic deformation sources, interacting in elastic homogeneous or layered, full- or half-spaces.