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  • 1
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    Soil moisture response, stable water isotope profiles, and trinary images of vertical subsurface flow paths across the evolution of siliceous and calcareous soil in proglacial areas (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-01-22
    Description: Abstract
    Description: The data set was collected to identify hydrological processes and their evolution over it time. It consists of several individual files in tabstop delimeted text format. The data set contains the data obtained from deuterium and brilliant blue tracer experiments at two chronosequence studies in the glacier forefield of the Stone Glacier and the Griessfirn in the central Alps, Switzerland. Each chronosequence consisted of four moraines of different ages (from 30 to 13500 years). At each forefield sprinkling experiments with deuterium and dye tracer experiments with blue dye (Brilliant Blue) were conducted on three plots per moraine. The moraines at the forefield of the Stone Glacier developed from siliceous parent material and at the forefield of the Griessfirn from calcareous parent material. Data from the siliceous forefield are marked with (S) and data from the calcareous forefield are marked with (C). The data set consist of soil moisture time series and soil water isotope profiles of the sprinkling experiments with deuterium, as well as trinary images of stained vertical subsurface flow paths from the dye tracer experiment. The individual plots per moraine are distinguished via their position relative to one another on the moraine (left, middle, and right, looking upslope). The plots used for the sprinkling experiments were located in close vicinity to the plots used for the dye tracer experiments. For the sprinkling experiments with deuterium each plot (4m x 6m) per age class was equipped with 6 soil moisture sensors. Three of these sensors were installed as a sensor profile at one side of the plot about one meter downslope from the upper plot boundary. The sensors were installed at 10, 30, and 50 cm soil depth. On the other side of the plot, two sensors were placed in 10 cm depth, one opposite to the sensor profile and the second sensor one meter upslope from the lower plot boundary. The sixth sensor was placed at 10 cm depth in the center of the plot. The plots were irrigated on three consecutive days with three different irrigation intensities and deuterium concentrations. Per forefield, the soil moisture data are listed in one file per age class. The file contains for each plot, the time stamp and the soil moisture values of the 6 sensors.
    Keywords: Landscape Evolution ; Chronosequence Study ; Proglacial moraines ; Flow paths ; Soil moisture ; EARTH SCIENCE 〉 AGRICULTURE 〉 SOILS 〉 SOIL MOISTURE/WATER CONTENT ; EARTH SCIENCE 〉 LAND SURFACE 〉 LANDSCAPE 〉 LANDSCAPE PROCESSES ; EARTH SCIENCE 〉 LAND SURFACE 〉 SOILS 〉 SOIL INFILTRATION
    Type: Dataset , Dataset
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  • 2
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    A decade of short-period earthquake rupture histories from multi-array back-projection (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-01-26
    Description: Abstract
    Description: Teleseismic back-projection imaging has emerged as a powerful tool for understanding the rupture propagation of large earthquakes. However, its application often suffers from artifacts related to the receiver array geometry. We developed a teleseismic back-projection technique that can accommodate data from multiple arrays. Combined processing of P and pP waveforms may further improve the resolution. The method is suitable for defining arrays ad-hoc to achieve a good azimuthal distribution for most earthquakes. We present a catalog of short-period rupture histories (0.5-2.0 Hz) for all earthquakes from 2010 to 2022 with Mw {greater than or equal to} 7.5 and depth less than 200 km (56 events). The method provides automatic estimates of rupture length, directivity, speed, and aspect ratio, a proxy for rupture complexity. We obtained short-period rupture length scaling relations that are in good agreement with previously published relations based on estimates of total slip. Rupture speeds were consistently in the sub-Rayleigh regime for thrust and normal earthquakes, whereas a tenth of strike-slip events propagated at supershear speeds. Many rupture histories exhibited complex behaviors, e.g., rupture on conjugate faults, bilateral propagation, and dynamic triggering by a P wave. For megathrust earthquakes, ruptures encircling asperities were frequently observed, with down-dip, up-dip, and balanced patterns. Although there is a preference for short-period emissions to emanate from central and down-dip parts of the megathrust, emissions up-dip of the main asperity are more frequent than suggested by earlier results. The data are presented as follows (and described in detail in the associated README): SUPPORTING DATA SET S1 (2024-001_Vera-et-al_Supporting-Data-S1.zip) This Data Set (S1) consists of *.bp files containing (1) short-period earthquake rupture patterns, (2) energy radiated maps, and (3) source time functions derived from back-projections (0.5-2.0 Hz). The Data Set S1 includes 56 folders, representing 56 processed earthquakes between 2010 and 2022 with a moment magnitude (Mw) greater than or equal to 7.5 and a depth less than 200 km. These folders are labeled in the format YYYYMMDDhhmm_EVENT_NAME_REGION (UTC) in *.bp format. SUPPORTING DATA SET S2 (2024-001_Vera-et-al_Supporting-Data-S2.csv) This Data Set (S2) comprises a *.csv file containing earthquake source information used in the back-projection and the resulting rupture parameter estimates based on **visually determined** rupture end times. The *.csv file includes rupture parameter estimates for each of the 56 earthquake back-projections presented in Data Set S1. SUPPORTING DATA SET S3 (2024-001_Vera-et-al_Supporting-Data-S3.csv) This Data Set (S3) comprises a *.csv file containing earthquake source information used in the back-projection and the resulting rupture parameter estimates based on **automatic** rupture end times. Note: The main difference from Data Set S2 is that rupture parameter estimates in S3 are derived from **automated** rupture end times, whereas S2 provided estimates relative to **visually determined** rupture end times.
    Keywords: teleseismic back-projection ; large earthquakes ; megathrust earthquakes ; complex ruptures ; supershear ruptures ; earthquake rupture catalog ; EARTH SCIENCE 〉 HUMAN DIMENSIONS 〉 NATURAL HAZARDS 〉 EARTHQUAKES
    Type: Dataset , Dataset
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  • 3
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    Long-term CO2 and CH4 flux measurements and associated environmental variables from a rewetted peatland (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-01-29
    Description: Abstract
    Description: The data provided here is an exemplary dataset for the flux site Zarnekow from one year (2018). The complete dataset that is needed to run the codes for all the years can be obtained from the European Fluxes Database Cluster under site ID DE-Zrk (Sachs et al., 2016) or provided upon request. This repository is intended to provide the necessary MATLAB and R code to reproduce the results by Kalhori et al. (2024). The data are provided as zip folder containing (1) a csv file with associated definition of variables and units (file: 2023-004_Kalhori-et-al_README_2018_units.txt), (2) a shapefile (file: 2023-004_Kalhori-et-al_2018_LAiV_DOP.shp) and (3) a Geotiff (file: 2023-004_Kalhori-et-al_2018_LAiV_DOP.tiff). In addition, we provide a second zip folder containing the data that produced the figures of the related article (Kalhori et al., 2024, https://doi.org/10.1038/s43247-024-01226-9).
    Keywords: carbon dioxide emission ; CO2 emission ; methane emission ; CH4 emission ; peatland ; wetland ; eddy covariance ; rewetting ; emission factor ; mitigation ; EARTH SCIENCE 〉 BIOSPHERE 〉 TERRESTRIAL ECOSYSTEMS 〉 WETLANDS 〉 PEATLANDS ; In Situ Land-based Platforms 〉 GROUND-BASED OBSERVATIONS
    Type: Dataset , Dataset
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  • 4
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    Acoustic Emission and Seismic moment tensor catalogs associated with triaxial stick-slip experiments performed on Westerly Granite samples (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-01-29
    Description: Abstract
    Description: The dataset contains source parameters of acoustic emission (AE) events recorded during triaxial friction (stick-slip) experiments performed on the Westerly Granite sample WgN05. In addition we provide raw waveform data of AE events recorded in triggered mode with a network of 16 AE sensors. Basic seismic catalog associated with the stick-slip experiment contains origin time, hypocentral location in local Cartesian coordinate system of the sample (with associated uncertainties), and AE-derived magnitude. In addition, for a subset of AEs we provide full moment tensors. This catalog include information on fault parameters (strike, dip and rake of the two nodal planes), percentage of isotropic, compensated linear vector dipole and double-couple components of the full moment tensor, P, T, B axes orientations in the coordinate system of the sample, uncertainty assessment, as well as the six independent moment tensor components. Finally, we provide a time series of axial stress values as presented in the Kwiatek et al. (2023) as well as the coordinates of the AE sensors. The catalog and parametric data is supplemented with the raw waveform recordings stored in HDF5 format from 16 acoustic emission sensors placed on the surface of the sample.
    Keywords: acoustic emission ; rock mechanics ; earthquake precursors ; stick-slip ; earthquake preparation ; seismomechanics ; intermittent criticallity ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE PREDICTIONS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE 〉 SEISMIC BODY WAVES ; hazard ; hazard 〉 natural hazard ; monitoring 〉 seismic monitoring ; physical property 〉 inversion ; physical property 〉 pressure ; physical property 〉 rock mechanics
    Type: Dataset , Dataset
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  • 5
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    Rewetted Peatland_GHG analysis Code: software packages (R and Matlab) for the calculation of greenhouse gas (GHG) fluxes at a rewetted peatland (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-01-29
    Description: Abstract
    Description: This publication provides the codes produced for the article "Temporally dynamic carbon dioxide and methane emission factors for rewetted peatlands. Nature Communications Earth and Environment" by Aram Kalhori, Christian Wille, Pia Gottschalk, Zhan Li, Josh Hashemi, Karl Kemper, and Torsten Sachs (https://doi.org/10.1038/s43247-024-01226-9). In the article, the authors estimate the cumulative GHG emissions of a rewetted peatland in Germany using the long-term ecosystem flux measurements. They observe a source-to-sink transition of annual carbon dioxide (CO2) fluxes and decreasing trend of methane (CH4) emissions. This software is written in R and MATLAB. Running the codes ([R files and .m files](Code)) and loading the data files ([CSV files and .mat files](Data)) requires the pre-installation of [R and RStudio] (https://posit.co/downloads/) and ([MATLAB]. The RStudio 2022.07.2 Build 576 version has been used for the R scripts. The land cover classification work was performed in QGIS, v.3.16.11-Hannover. Data were analyzed in both MATLAB and R and plots created with R (R Core Development Team 2020) in RStudio®. The following external packages are required to be incorporated into the codes in order to run the provided codes: "zyp" package; "missForest" package;"REddyProc" package and explained in detail in the README. Files: Codes/Kalhori2023_SenSlopes_fig2.r "zyp" package, Maintainer David Bronaugh 〈bronaugh@uvic.ca〉 Depends R (〉= 2.4.0), Kendall License: LGPL-2.1 https://CRAN.R-project.org/package=zyp Files: Codes/Kalhori2023_gapfillingMF_validation_figSI1.r "missForest" package, Maintainer Daniel J. Stekhoven 〈stekhoven@stat.math.ethz.ch〉 Depends randomForest,foreach,itertools License: GPL (〉= 2) https://www.r-project.org, https://github.com/stekhoven/missForest Files: Codes/Kalhori2023_NEEpartitioning.r "REddyProc" package, Maintainer Thomas Wutzler 〈twutz@bgc-jena.mpg.de〉 Depends R (〉= 3.0.0), methods Imports Rcpp, dplyr, purrr, rlang, readr, tibble, magrittr, solartime, bigleaf (〉= 0.7) License: GPL (〉= 2) https://cran.r-project.org/web/packages/REddyProc/index.html Data are provided as .shp, CSV or text files. The MATLAB scripts for footprint calculation and the R scripts used for gapfilling (missForest) and flux partitioning (REddyProc) are also included.The full description of the data and methods is provided in the manuscript.
    Description: Other
    Description: GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2023 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany (Aram Kalhori). Kalhori2023_Rewetted Peatland_GHG Analysis is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, version 3 of the License. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see 〈https://www.gnu.org/licenses/〉.
    Keywords: carbon dioxide emission ; CO2 emission ; methane emission ; CH4 emission ; peatland ; wetland ; eddy covariance ; rewetting ; emission factor ; mitigation ; EARTH SCIENCE 〉 BIOSPHERE 〉 TERRESTRIAL ECOSYSTEMS 〉 WETLANDS 〉 PEATLANDS ; In Situ Land-based Platforms 〉 GROUND-BASED OBSERVATIONS
    Type: Software , Software
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  • 6
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    Soil and spring water gas data from an area with natural hydrogen (H2) degassing, NW Pyrenean foreland, France (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-01-30
    Description: Abstract
    Description: This data set contains the results from a 2023 GFZ Innovative Research Expedition project to explore for natural hydrogen gas (H2) occurrences in the NW Pyrenean foreland, near the town of Biarritz in France. The data represent in-situ measurements of soil and spring water gas, as well as in-situ spring water property measurements, complemented with laboratory analysis results of gas contents and noble gas isotopic compositions of gas and spring water samples collected during the expedition. This GFZ Innovative Research Expedition was inspired by previous exploration efforts in the region by Lefeuvre et al. (2021, 2022). These authors detected elevated concentrations of natural H2 gas in the soil and interpreted this natural H2 to be derived from serpentinizing mantle rocks below the Pyrenees. The main aims of this expedition were the following: (1) in-situ measuring soil gas contents and taking soil gas samples for laboratory analysis at a site near the town of Peyrehorade in the NW of the general study area of Lefeuvre et al. (2021), thus improving the soil gas data coverage along the NW end of the North Pyrenean Frontal Thrust (NPFT); (2) taking gas samples from degassing springs (or water samples from non-degassing springs to be degassed in the lab) in the general Lefeuvre et al. (2021) study area for additional laboratory analysis of gas contents and noble gas isotopic compositions, which may be indicative of (deep) gas origins; and (3) performing a detailed soil gas analysis by means of a portable mass spectrometer at Sauveterre-de-Béarn, a site along the NPFT where Lefeuvre et al. (2022) measured elevated concentrations of natural H2 in the soil. Furthermore, we also measured the properties of the visited springs (temperature, pH, conductivity) while on site, and performed additional in-situ soil gas measurements from manual drillholes. Details on the measurement and sampling methods, on the laboratory analyses, as well as the results of these measurements and analyses are provided in the data description file The expedition involved six field days in July 2023, during which a total of 26 sites were visited. These sites were selected for their vicinity near a major geological contact or fault zone that could have facilitated upward circulation of gas or (thermal) water from the (deep) subsurface (i.e., potentially from the mantle).
    Type: Dataset , Dataset
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  • 7
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    CRM-geothermal - geochemical results of drill core material, scaling and salt precipitates at Tuzla, Seferihisar and Dikili geothermal sites, Eastern Turkey (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-01-30
    Description: Abstract
    Description: The EU funded project CRM-geothermal aims to establish an overview of the potential for critical raw materials (CRM) in geothermal fluids across the EU and third countries (Ref). Within this framework, the geothermal sites of Tuzla, Seferihisar and Dikili in eastern Turkey have been visited in March 2023. To estimate the potential of CRM at these sites, a comprehensive sampling program was performed. Rock samples (drill gravel) of the production borehole and scaling from gas-water separators were obtained. Furthermore, sampling of geothermal fluids (gas and brine) and precipitates (salt) along the production line was performed. Here, the results of the geochemical analyses of solid sample materials (drill gravel, scales and salt) are presented. All analyses were performed in the ElMiE-Lab (Elements and Minerals of the Earth Laboratory) at German Research Centre for Geosciences Potsdam, Germany (https://labinfrastructure.geo-x.net/laboratories/8). For their major and minor element compositions, bulk samples of drill gravel and scales were analyzed with XRF and ICP-MS, respectively. Salt precipitates were analyzed for dry loss and mineral composition using XRD.
    Description: Methods
    Description: Sampling of drill gravel: Drill core gravel from Tuzla geothermal site was obtained from existing samples taken during drilling in 2010. For the analyses, three samples of the geothermal reservoir horizon at different depth and from two different drill holes were chosen. Sampling of scales: Scales were sampled during geothermal power plant maintenance in 2023 in Tuzla and in 2022 in Seferihisar. It was analyzed from all water-gas separators from the three drill holes in Tuzla. For Seferihisar, fresh scales were obtained from inside a tube, a pump and a fitter. Sampling of salt precipitates: During the visits, fresh salt precipitates were taken from outside the pipeline that transports geothermal brine to the power plant. The sampling points were located near the production well. Here, few connectors were slightly leaking which is negligible for the geothermal power production. Over time, the small amounts of brine release causes salt precipitation, due to brine cooling and evaporation. The residual salts occurs in form of fine crystalline precipitations around the pipe connectors or, stalactite-like salt tubings. Sampling of fresh, slightly moist material was performed by either scratching material off the precipitate deposit or breaking off juvenile stalactite outgrowth. The sample were stored and transported in air-tight zipper plastic bags to avoid sample alteration by atmospheric air.
    Keywords: critical raw materials ; geothermal power plant eastern turkey ; drill gravel ; scales ; salt precipitates ; geochemistry ; XRF ; ICP-MS ; XRD ; EARTH SCIENCE 〉 HUMAN DIMENSIONS 〉 ECONOMIC RESOURCES 〉 ENERGY PRODUCTION/USE 〉 GEOTHERMAL ENERGY PRODUCTION/USE ; energy 〉 energy type 〉 non-conventional energy 〉 geothermal energy ; Models/Analyses 〉 CRM
    Type: Dataset , Dataset
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  • 8
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    Transient 3D groundwater and temperature model of the North German Basin below the State of Brandenburg (1953-2014) (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-02-06
    Description: Abstract
    Description: The dataset is the basis for describing a 60-year-long evolution of groundwater dynamics and thermal field in the North German Basin beneath the Federal State of Brandenburg (NE Germany), covering the period between 1953 and 2014 with monthly increments. It was produced by one-way coupling of a near-surface distributed hydrologic model to a 3D basin-scale thermohydraulic groundwater model with the goal of investigating feedbacks between climate-driven forcing (in terms of time- and space-varying recharge and temperature), basin-scale geology, and topographic gradients. Modeled pressure and temperature distributions are validated against published groundwater level and temperature time series from observation wells. Our results indicate the spatio-temporal extent of the groundwater system subjected to nonlinear interactions between local geological variability and climate conditions. The dataset comprises of input files and scripts required to run the groundwater model in GOLEM and output files from the transient thermo-hydraulic simulations in EXODUS format. The input and output data is organized as separate archived folders (*.gz format).
    Description: Methods
    Description: Hydrological fluxes are simulated via mesoscale Hydrological Model (mHM) (Samaniego et al., 2010), a spatially distributed hydrologic modeling tool. We make use of the results from a Germany-wide realization of mHM to derive time and space varying water fluxes, which we translate into boundary conditions at the top of our groundwater model. All groundwater simulations were conducted with GOLEM, a Finite Element Method (FEM) modelling platform for thermal-hydraulic-mechanical and non-reactive chemical processes in fully-saturated porous media (Cacace and Jacquey, 2017). Steady-state conditions were derived by solving separately for the hydraulic and the thermal cases. These uncoupled steady-state simulations have been used as initial conditions to run a coupled pseudo-transient simulation, the results of which have been later imposed to initialize the pore pressure and the temperature in the final transient simulation.
    Description: TechnicalInfo
    Description: The dataset comprises of output fluxes from the hydrological model, input files and scripts required to run the groundwater model, output files from the transient thermo-hydraulic simulations, references to validation data, and workflows for data pre-conditioning and post-processing. The 3D structural model built for groundwater modeling covers an area of 28800 km2, extends down to 6000 m below sea level, and contains 12 stratigraphic units from pre-Permian to Quaternary. It was built using structural surfaces from an earlier basin-scale structural model of Brandenburg (Noack et al., 2013). The model captures large-scale geological features controlling the regional groundwater flow, including salt structures, permeable glacial valleys, and aquitard discontinuities. The simulated finite element mesh has a resolution of 1 km x 1 km. It is divided into 54 computational layers and consists of 1.9 million nodes, giving a total of 3 million degrees of freedom.
    Keywords: groundwater modeling ; groundwater level ; geothermal potential ; groundwater recharge ; mesoscale Hydrologic Model (mHM) ; North German Basin ; Brandenburg ; climate ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 GROUND WATER 〉 PERCOLATION ; hydrosphere 〉 water (geographic) 〉 groundwater
    Type: Dataset , Dataset
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  • 9
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    High resolution Digital Terrain Models (DTMs) of Tillandsiales in the Chilean Atacama Desert: The Arica study field. (2024)
    CRC1211 Database (CRC1211DB)
    Details
    Publication Date: 2024-02-21
    Description: Abstract
    Description: A high-resolution Digital Terrain Model (DTM) has been processed for the Tillandsia landbeckii study sites at Arica. The original source data have been obtained from drone flight images. The final resolution of the DTM is of about 14 cm. We acknowledge support in the field and during data processing from Alexander Siegmund (PH Heidelberg). RE Stein and D Jäger contributed equally to the work.
    Description: TableOfContents
    Description: The zip.file contains the following 5 files: 1) Arica.blend 2) Arica_Ortho_clipped_0-5res.tif 3) DEM_Arica_final_clipped_rescale2.tif 4) DEM_Arica_final_clipped_rescale2_0-5res_raw.tif 5) DEM_Arica_final_clipped_rescale2_0-5res_rendered.tif Please do not change file names nor file extensions when loading files for viewing in BLENDER version 4.0 (https://www.blender.org/download/releases/4-0/). The "0-5res" file-versions refer to a 0.5m/px resolution (EPSG:32719 - WGS 84 / UTM Zone 19S). File DEM_Arica_final_clipped_rescale2.tif was processed to a final resolution of 1.35e-06 °degrees (c. 0.143 m) [EPSG:4326 - WGS 84].
    Description: Other
    Description: Short introduction into the methods: Very-high resolution images were captured using an unmanned aerial vehicle (UAVs) [drone: DJI Matrice 200; DJI Zenmuse X5S RGB camera]. With processing of the UAV data images are merged according to their geographical position by means of the Structure-from-Motion (SfM) algorithm and a digital elevation model was created (Micheletti et al. 2015; Westoby et al. 2012). High-resolution topographic surveying using the Structure-from-Motion (SfM) algorithm is a low-cost and user-friendly photogrammetric technique to obtain high-resolution datasets. The SfM method solves the camera pose and scene geometry simultaneously and automatically, using highly redundant bundle adjustment based on matching features in multiple overlapping, offset images (Westoby et al. 2012). SfM-Processing was performed using Agisoft Metashape Professional (Version 1.6.1 64 bit). Agisoft Metashape Professional performs well to reconstruct landscape 3D point clouds and the different steps of the process are configurable and can be controlled (Laporte-Fauret et al. 2019). Images were fed into the software and the quality (tool “estimate image quality”) and position was determined respectives images were chosen to cover the study area. Using the “Aling Photos” tool images were aligned creating tie points (2D) and a Depth Maps (high quality, mild filtering) was created (3D). With the help of the Build Dense Cloud tool, set to high quality, the data points were created that represent the study area in 3D. Consecutively an orthomosaic of the study area was created using the Build Orthomosaic tool. An orthomosaic is a photogrammetrically orthorectified image product that has been mosaicked from a collection of images and corrected for geometric distortion to create a seamless mosaic dataset. Due to the high-resolution input data and the processing without compression a high-resolution orthomosaic was achieved with a pixel size of 2.1 cm/pix covering the study area. This detailed, high-resolution geolocated photo representation of the study site is the basis for the following analytical steps. A digital elevation model (DEM) was computed using the “Build DEM” tool. Its dimensions resulted herein in a 14 cm/pix size to cover the entire study site. Final adjustment of elevation has been done using the Copernicus Digital Elevation Model (https://spacedata.copernicus.eu/de/collections/copernicus-digital-elevation-model) using Q-GIS (https://www.qgis.org/de/site/). Laporte-Fauret, Q., et al. (2019). "Low-Cost UAV for high-resolution and large-scale coastal dune change monitoring using photogrammetry." Journal of Marine Science and Engineering 7(3): 63. Micheletti, N., Chandler, J. H., & Lane, S. N. (2015). Structure from motion (SFM) photogrammetry. In L. E. Clarke, & J. M. Nield (Eds.), Geomorphological techniques (Online Edition) (pp. 1–12, Chapter 2.2.2). British Society for Geomorphology Westoby, M. J., et al. (2012). "‘Structure-from-Motion’photogrammetry: A low-cost, effective tool for geoscience applications." Geomorphology 179: 300-314.
    Keywords: Biota ; Landscape Evolution ; Biodiversity
    Type: Dataset , Sub data for DTM configuration
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    DATA GFZ
  • 10
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    High resolution Digital Terrain Models (DTM) of Tillandsiales in the Chilean Atacama Desert: The Caldera study field (2024)
    CRC1211 Database (CRC1211DB)
    Details
    Publication Date: 2024-02-21
    Description: Abstract
    Description: A high-resolution Digital Terrain Model (DTM) has been processed for the Tillandsia landbeckii study sites at Arica. The original source data have been obtained from drone flight images. The final resolution of the DTM is of about 16 cm/px. We acknowledge support in the field and during data processing from Alexander Siegmund (PH Heidelberg).
    Description: TableOfContents
    Description: The zip.file contains the following 5 files: 1) Caldera.blend 2) Caldera_Ortho_0-5res_clipped.tif 3) Caldera_DEM_clipped_rescale.tif 4) Caldera_DEM_clipped_rescale_0-5res.tif 5) Caldera_DEM_clipped_rescale_0-5res_rendered.tif Please do not change file names nor file extensions when loading files for viewing in BLENDER version 4.0 (https://www.blender.org/download/releases/4-0/). The "0-5res" file-versions refer to a 0.5m/px resolution (EPSG:32719 - WGS 84 / UTM Zone 19S). File Caldera_DEM_clipped_rescale.tif was processed to a final resolution of 1.67e-06 °degrees (c. 0.165 m) [EPSG:4326 - WGS 84].
    Description: Other
    Description: Short introduction into the methods: Very-high resolution images were captured using an unmanned aerial vehicle (UAVs) [drone: DJI Matrice 200; DJI Zenmuse X5S RGB camera]. With processing of the UAV data images are merged according to their geographical position by means of the Structure-from-Motion (SfM) algorithm and a digital elevation model was created (Micheletti et al. 2015; Westoby et al. 2012). High-resolution topographic surveying using the Structure-from-Motion (SfM) algorithm is a low-cost and user-friendly photogrammetric technique to obtain high-resolution datasets. The SfM method solves the camera pose and scene geometry simultaneously and automatically, using highly redundant bundle adjustment based on matching features in multiple overlapping, offset images (Westoby et al. 2012). SfM-Processing was performed using Agisoft Metashape Professional (Version 1.6.1 64 bit). Agisoft Metashape Professional performs well to reconstruct landscape 3D point clouds and the different steps of the process are configurable and can be controlled (Laporte-Fauret et al. 2019). Images were fed into the software and the quality (tool “estimate image quality”) and position was determined respectives images were chosen to cover the study area. Using the “Aling Photos” tool images were aligned creating tie points (2D) and a Depth Maps (high quality, mild filtering) was created (3D). With the help of the Build Dense Cloud tool, set to high quality, the data points were created that represent the study area in 3D. Consecutively an orthomosaic of the study area was created using the Build Orthomosaic tool. An orthomosaic is a photogrammetrically orthorectified image product that has been mosaicked from a collection of images and corrected for geometric distortion to create a seamless mosaic dataset. Due to the high-resolution input data and the processing without compression a high-resolution orthomosaic was achieved with a pixel size of 2.1 cm/pix covering the study area. This detailed, high-resolution geolocated photo representation of the study site is the basis for the following analytical steps. A digital elevation model (DEM) was computed using the “Build DEM” tool. Its dimensions resulted herein in a 16.5 cm/pix size to cover the entire study site. Final adjustment of elevation has been done using the Copernicus Digital Elevation Model (https://spacedata.copernicus.eu/de/collections/copernicus-digital-elevation-model) using QGIS (https://www.qgis.org/de/site/). Laporte-Fauret, Q., et al. (2019). "Low-Cost UAV for high-resolution and large-scale coastal dune change monitoring using photogrammetry." Journal of Marine Science and Engineering 7(3): 63. Micheletti, N., Chandler, J. H., & Lane, S. N. (2015). Structure from motion (SFM) photogrammetry. In L. E. Clarke, & J. M. Nield (Eds.), Geomorphological techniques (Online Edition) (pp. 1–12, Chapter 2.2.2). British Society for Geomorphology Westoby, M. J., et al. (2012). "‘Structure-from-Motion’photogrammetry: A low-cost, effective tool for geoscience applications." Geomorphology 179: 300-314.
    Keywords: Biota ; Landscape Evolution
    Type: Dataset , Sub data for DTM configuration
    Format: ZIP
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