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Logo for SeisComP

SeisComP

SeisComP is a widely distributed seismological software package for real-time monitoring of earthquakes and other seismic events and provides for data acquisition, processing, distribution and interactive analysis. It has been developed within the GEOFON Program by GFZ and gempa GmbH.

  • Earth & Environment
  • earthquake
  • seismology
  • + 1
    0
    0
    Logo for Sensor Management System

    Sensor Management System

    The Sensor Management System (SMS) allows the comprehensive acquisition, administration and export of meta data of platforms, sensors and measurement configurations by stations and campaigns operated in the Helmholtz research field Earth & Environment.

    • catalogue
    • data managment
    • Earth & Environment
    • + 4
    • Python
    • TypeScript
    • Vue
    • + 2
    21
    0
    Logo for SERGHEI

    SERGHEI

    The Simulation EnviRonment for Geomorphology, Hydrodynamics and Ecohydrology in Integrated form (SERGHEI) is a multi-dimensional, multi-domain, and multi-physics model framework for environmental and landscape simulation, intended to simulate water flow and transport across landscape scales.

    • Earth & Environment
    • GPU
    • High performance computing
    • + 4
    • C++
    • C
    • CMake
    • + 2
    7
    0
    Logo for spatial.IO

    spatial.IO

    An integrated cloud-ready geospatial data management system.

    • data managment
    • Earth & Environment
    • geospatial data
    • Python
    • Vue
    • TypeScript
    • + 2
    22
    0
    Logo for TERENO-DOI

    TERENO-DOI

    A web-based application for creating, publishing, and managing digital object identifiers (DOIs) especially for publications within the TERENO initiative.

    • catalogue
    • data managment
    • Data Publications
    • + 9
    • Vue
    • JavaScript
    • HTML
    • + 1
    4
    0
    Logo for time.IO

    time.IO

    A fully integrated and comprehensive timeseries management system

    • data managment
    • Earth & Environment
    • Time series
    • Python
    • PLpgSQL
    • Shell
    • + 2
    12
    0
    Logo for Timeseries Management

    Timeseries Management

    The Timeseries Management allows to store, visualise, organise and share timeseries data and provides access to a (broad) selection of data from different long-term projects and campaigns (e.g. TERENO, MOSES).

    • Data analysis
    • Data Visualization
    • Earth & Environment
    • + 2
      2
      0
      Logo for TRIDEC Cloud

      TRIDEC Cloud

      TRIDEC Cloud serves functionality to handle and share threat specific information. It integrates services for obtaining event related geo-data, e.g. of earthquakes, for automated computations, e.g. of tsunami propagations, for mapping, summarizing, and communicating hazard specific data.

      • early warning
      • Earth & Environment
      • GPU
      • + 6
      • Python
      • Vue
      • Shell
      • + 6
      0
      0
      Logo for TrixiParticles.jl

      TrixiParticles.jl

      Particle-based multiphysics simulations in Julia

      • CFD
      • Earth & Environment
      • Information
      • + 2
      • Julia
      6
      0

      TSMP

      The Terrestrial Systems Modelling Platform (TSMP) is an open source framework implementing a scale-consistent, highly modular, massively parallel regional Earth system model. It represents transport and feedback processes of mass, energy and momentum across geo-ecosystem compartments and scales.

      • Earth & Environment
      • Fortran
      • Shell
      • C
      • + 10
      6
      0

      TSMP2

      The Terrestrial Systems Modelling Platform (TSMP) is an open source framework implementing a scale-consistent, highly modular, massively parallel regional Earth system model. It represents transport and feedback processes of mass, energy and momentum across geo-ecosystem compartments and scales.

      • Earth & Environment
      • Hydrology
      • CMake
      • Shell
      6
      0

      ukis-csmask

      UKIS Cloud Shadow MASK (ukis-csmask) package masks clouds and cloud shadows in Sentinel-2, Landsat-9, Landsat-8, Landsat-7 and Landsat-5 images. Masking is performed with a pre-trained convolution neural network. It is fast and works directly on Level-1C data (no atmospheric correction required).

      • Earth & Environment
      • Image processing
      • python
      • + 1
      • Python
      1
      0