ALBERT

Description: AROSICS is a python package to perform automatic subpixel co-registration of two satellite image datasets based on an image matching approach working in the frequency domain, combined with a multistage workflow for effective detection of false-positives. It detects and corrects local as well as global misregistrations between two input images in the subpixel scale, that are often present in satellite imagery. The algorithm is robust against the typical difficulties of multi-sensoral / multi-temporal images. Clouds are automatically handled by the implemented outlier detection algorithms. The user may provide user-defined masks to exclude certain image areas from tie point creation. The image overlap area is automatically detected. AROSICS supports a wide range of input data formats and can be used from the command line (without any Python experience) or as a normal Python package.

Description: The EnPT Python package is an automated pre-processing pipeline for the new EnMAP hyperspectral satellite data. It provides free and open-source features to transform EnMAP Level-1B data to Level-2A. The package has been developed at the German Research Centre for Geosciences Potsdam (GFZ) as an alternative to the processing chain of the EnMAP Ground Segment.

Description: This study reviews research data policies and author instructions of 31 journals from the Earth sciences and from biodiversity that are published by German learned societies or research institutions. The statements on data publishing of the journal´s data policies / author guidelines were matched to 14 pre-defined features of journal research data policies from Hrynaszkiewicz, I. et al. (2020) Developing a Research Data Policy Framework for All Journals and Publishers. Data Science Journal, 19: 5, pp. 1–15. https://doi.org/10.5334/dsj-2020-005.

Description: Minor release to include IGRF13 coefficients, expands the type of allowed inputs into the subsol routine, fixes several bugs in edge cases, expands testing support to include Python 3.6-3.9, updates the documentation, and updates the continuous integration testing environments.

Description: SICOR is a sensor independent atmospheric correction of optical Earth Observation (EO) data from both multispectral and hyperspectral instruments. Currently, SICOR can be applied to Sentinel-2 and EnMAP data but the implementation of additional space- and airborne sensors is under development.

Description: CLI software for applying Fully Connected Neural Network (FNN) algorithm for LUCAS-2015

Description: pyGMS is a Python 3 module designed to analyse the rheological behaviour of lithosphere-scale 3D structural models that were created with the GeoModellingSystem (GMS, GFZ Potsdam). Implemented features incldue the computation and visualisation of yield strength envelopes, yield strength profiles, integrated strength maps, effective elastic thickness and thicknesses of brittle/ductile layers.

Description: MeshIt – a software for three dimensional volumetric meshing of complex faulted reservoirs MeshIt is a software for generating three dimensional high quality, boundary conforming Delaunay tetrahedral meshes for Finite Element (FE) or Finite Volume (FV) Thermo-Hydraulic-Mechanical-Chemical (THMC) dynamic simulations of complex faulted and fractured reservoir applications. The main goal of MeshIt is to provide an open source, time efficient, robust and “easy to handle” software tool to bridge the gap between geological and dynamic forward models of flow and transport processes in reservoir domains comprising fault zones, wells (open hole section) and induced and/or natural fractures. MeshIt comes with an integrated graphical user interface (GUI) that facilitates the user during the different stages of the meshing workflows. Beside third party C libraries, the complete code has been written in the object oriented C++ programming language. In order to provide cross-platform support (Windows, Mac OS X and Unix operating systems under 32 and 64 bit) the open source project Qt has been integrated in the supported library environment. The interactive 3D graphics Application Programming Interface (API) has been developed by relying on the OpenGL library. All graphical processing stages have been interfaced to the open-source, multiplatform visualization software Paraview, the latter being based on the Visualization ToolKit (VTK). MeshIt – a software for three dimensional volumetric meshing of complex faulted reservoirs MeshIt is a software for generating three dimensional high quality, boundary conforming Delaunay tetrahedral meshes for Finite Element (FE) or Finite Volume (FV) Thermo-Hydraulic-Mechanical-Chemical (THMC) dynamic simulations of complex faulted and fractured reservoir applications. The main goal of MeshIt is to provide an open source, time efficient, robust and “easy to handle” software tool to bridge the gap between geological and dynamic forward models of flow and transport processes in reservoir domains comprising fault zones, wells (open hole section) and induced and/or natural fractures. MeshIt comes with an integrated graphical user interface (GUI) that facilitates the user during the different stages of the meshing workflows. Beside third party C libraries, the complete code has been written in the object oriented C++ programming language. In order to provide cross-platform support (Windows, Mac OS X and Unix operating systems under 32 and 64 bit) the open source project Qt has been integrated in the supported library environment. The interactive 3D graphics Application Programming Interface (API) has been developed by relying on the OpenGL library. All graphical processing stages have been interfaced to the open-source, multiplatform visualization software Paraview, the latter being based on the Visualization ToolKit (VTK). Developers: Dr. Mauro Cacace – GFZ Potsdam, Section 4.5 Basin Modelling Dr. Guido Blöcher – GFZ Potsdam, Section 4.8 Geoenergy

Description: The NEAM Tsunami Hazard Model 2018 (NEAMTHM18) is a probabilistic hazard model for tsunamis generated by earthquakes. It covers the coastlines of the North-East Atlantic, the Mediterranean, and connected Seas (NEAM). In this online data product, the hazard results are provided by hazard curves calculated at 2,343 Points of Interest (POI), distributed in the North-East Atlantic (1,076 POIs), the Mediterranean Sea (1,130 POIs), and the Black Sea (137 POIs) at an average spacing of ~20 km. For each POI, hazard curves are given for the mean, 2nd, 16th, 50th, 84th, and 98th percentiles. Maps derived from hazard curves are Probability maps for Maximum Inundation Heights (MIH) of 1, 2, 5, 10, 20 meters; Hazard maps for Average Return Periods (ARP) of 500, 1,000, 2,500, 5,000, 10,000 years. For each map, precalculated displays are provided for the mean, the 16th percentile, and the 84th percentile. All data are also made accessible through an interactive web mapper and through Open Geospatial Consortium standard protocols. The model was prepared in the framework of the European Project TSUMAPS-NEAM (http://www.tsumaps-neam.eu/) funded by the mechanism of the European Civil Protection and Humanitarian Aid Operations (grant no. ECHO/SUB/2015/718568/PREV26).