Raw data (pictures, DEMs, .mat files) about analogue landscapes evolution
Cite as:
Reitano, Riccardo; Clementucci, Romano; Conrad, Ethan M.; Corbi, Fabio; Lanari, Riccardo; Faccenna, Claudio; Bazzucchi, Chiara (2022): Raw data (pictures, DEMs, .mat files) about analogue landscapes evolution. GFZ Data Services. https://doi.org/10.5880/fidgeo.2022.029
Status
I N R E V I E W : Reitano, Riccardo; Clementucci, Romano; Conrad, Ethan M.; Corbi, Fabio; Lanari, Riccardo; Faccenna, Claudio; Bazzucchi, Chiara (2022): Raw data (pictures, DEMs, .mat files) about analogue landscapes evolution. GFZ Data Services. https://doi.org/10.5880/fidgeo.2022.029
Abstract
This dataset includes raw data used in the paper by Reitano et al. (2022), focused on the effect of imposed boundary conditions (regional slope and rainfall rate) on the morphological evolution of analogue landscapes; the paper also focuses on applicability of stream power laws on analogue models, defining if and how the parametrization used in natural landscapes works in analogue ones. The experiments have been carried out at Laboratory of Experimental Tectonics (LET), University “Roma Tre” (Rome). Detailed descriptions of the experimental apparatus and experimental procedures implemented can be found in the paper to which this dataset refers. Here we present: • Pictures recording the evolution of the models. • GIFs showing time-lapses of models. • Raw DEMs of the models, used for extracting data later discusses in the paper. • Raw channels data (.mat files).
Methods
We took digital images during the evolution of the experiments. These images are stored in the “2022_XXX_Reitano-et-al_Pictures_and_GIFs” folder.
Digital Images The qualitative evolution of the analogue models has been recorded using a digital top-view camera (Canon EOS 200D). Digital pictures have not been modified with other imaging software.
Data from models' surface Laser scan provides a point cloud, composed by x, y, z coordinated of the points composing the model surface (the number of points is function of the laser resolution). The laser scans are converted to raw DEMs, here stored in the “DEMs” folder. Bottom left corner in the DEMs is randomly chosen to be -70 ∙ 103 m. No data values equal to -9999. Cell size is 1 mm. Channels data are collected into “Channels” folder. These data are .png channel longitudinal profiles and StreamOBJ files (.mat, TopoToolbox) containing all channels information. For every model and for every chosen time step (see Supplementary Information of the paper), we selected four rivers. These rivers are plotted together at the same time step.
Eroded volumes and Incision rates We create a numeric regular grid on the model surface. The eroded volumes are extracted calculating the cumulative difference in elevation (Δz) of the same cells at consecutive times. The cells dimension is function of the horizontal resolution of the laser scan (here 0.05 mm). Knowing the cell dimensions and the corresponding Δz, is it possible to obtain the total volume of eroded material at every time step. Incision rates are computed finding the value of incision for every point forming the selected channels. These values of incision are then divided for the time step at which they are collected, obtaining the incision rate through time.
Authors
Reitano, Riccardo;Department of Science, University of Rome “Roma TRE”, Laboratory of Experimental Tectonics, Rome, Italy
Clementucci, Romano;Department of Science, University of Rome “Roma TRE”, Laboratory of Experimental Tectonics, Rome, Italy
Conrad, Ethan M.;Department of Geological Sciences, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, USA
Corbi, Fabio;National Research Council - CNR, Istituto di Geologia Ambientale e Geoingegneria, Italy
Lanari, Riccardo;Department of Earth Science, University of Florence, Florence, Italy
Faccenna, Claudio;Department of Science, University of Rome “Roma TRE”, Laboratory of Experimental Tectonics, Rome, Italy;GFZ German Research Centre for Geosciences, Potsdam, Germany
Bazzucchi, Chiara;Department of Science, University of Rome “Roma TRE”, Laboratory of Experimental Tectonics, Rome, Italy
Contact
Reitano, Riccardo
(PostDoc Researcher)
; Department of Science, University of Rome “Roma TRE”, Laboratory of Experimental Tectonics, Rome, Italy;
Keywords
Erosional laws, Analogue modelling, Tectonic geomorphology, EPOS, multi-scale laboratories, analogue models of geologic processes, property data of analogue modelling materials, hydrosphere > hydrologic cycle > hydrographic network
CharacterString: This dataset includes raw data used in the paper by Reitano et al. (2022), focused on the effect of imposed boundary conditions (regional slope and rainfall rate) on the morphological evolution of analogue landscapes; the paper also focuses on applicability of stream power laws on analogue models, defining if and how the parametrization used in natural landscapes works in analogue ones. The experiments have been carried out at Laboratory of Experimental Tectonics (LET), University “Roma Tre” (Rome). Detailed descriptions of the experimental apparatus and experimental procedures implemented can be found in the paper to which this dataset refers. Here we present: • Pictures recording the evolution of the models. • GIFs showing time-lapses of models. • Raw DEMs of the models, used for extracting data later discusses in the paper. • Raw channels data (.mat files).
pointOfContact
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CharacterString: Reitano, Riccardo
organisationName
CharacterString: Department of Science, University of Rome “Roma TRE”, Laboratory of Experimental Tectonics, Rome, Italy
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CharacterString: We took digital images during the evolution of the experiments. These images are stored in the “2022_XXX_Reitano-et-al_Pictures_and_GIFs” folder.
Digital Images The qualitative evolution of the analogue models has been recorded using a digital top-view camera (Canon EOS 200D). Digital pictures have not been modified with other imaging software.
Data from models' surface Laser scan provides a point cloud, composed by x, y, z coordinated of the points composing the model surface (the number of points is function of the laser resolution). The laser scans are converted to raw DEMs, here stored in the “DEMs” folder. Bottom left corner in the DEMs is randomly chosen to be -70 ∙ 103 m. No data values equal to -9999. Cell size is 1 mm. Channels data are collected into “Channels” folder. These data are .png channel longitudinal profiles and StreamOBJ files (.mat, TopoToolbox) containing all channels information. For every model and for every chosen time step (see Supplementary Information of the paper), we selected four rivers. These rivers are plotted together at the same time step.
Eroded volumes and Incision rates We create a numeric regular grid on the model surface. The eroded volumes are extracted calculating the cumulative difference in elevation (Δz) of the same cells at consecutive times. The cells dimension is function of the horizontal resolution of the laser scan (here 0.05 mm). Knowing the cell dimensions and the corresponding Δz, is it possible to obtain the total volume of eroded material at every time step. Incision rates are computed finding the value of incision for every point forming the selected channels. These values of incision are then divided for the time step at which they are collected, obtaining the incision rate through time.
Released
Dataset
Abstract
;Department of Science, University of Rome “Roma TRE”, Laboratory of Experimental Tectonics, Rome, Italy
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