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@EarthyScience

EarthyScience

Department for Biogeochemical Integration. Max Planck Institute for Biogeochemistry, Jena Germany

The EarthyScience organization at theMax Planck Institute for Biogeochemistry is committed to advancing our understanding of Earth's biogeochemical processes through cutting-edge research. Our scientific mission focuses on integrating long-term in-situ observations with Earth observations collected via aircraft and satellites, spanning multiple spatial scales. To analyze and interpret these complex datasets, we combine data-driven machine learning approaches with theory-driven mechanistic modeling.

This GitHub organization serves as a central hub for our software development efforts, hosting and linking to various tools and packages that support our research. Our repositories feature software designed to process, analyze, and visualize large, multidimensional environmental datasets. One prominent example isYAXArrays.jl, a Julia package optimized for handling large-scale, multidimensional datasets common in Earth system science.

Our interdisciplinary team, with expertise in environmental science, data science, and software engineering, is dedicated to developing advanced tools for Earth system research. By making our software open-source and accessible on this platform, we aim to foster collaboration within the scientific community and drive progress in biogeochemistry and related fields.

We invite contributions from researchers and developers with interests in Earth system science, big data analysis, and scientific software development. Our repositories reflect our commitment to open science and reproducible research, advancing the study of Earth's complex biogeochemical systems.

Popular repositoriesLoading

  1. REddyProcREddyProcPublic

    Processing data from micrometeorological Eddy-Covariance systems

    R 78 40

  2. BrowzarrBrowzarrPublic

    A browser-based visualization framework for exploring and analyzing Zarr data stores.

    TypeScript 24 2

  3. EasyHybrid.jlEasyHybrid.jlPublic

    EasyHybrid.jl provides a simple and flexible framework for hybrid modeling, enabling the integration of neural networks with process-based models.

    Julia 15 5

  4. Bigleaf.jlBigleaf.jlPublic

    ecosystem properties based on a 'big-leaf' representation of the vegetation

    Julia 8 2

  5. solartimesolartimePublic

    Utilities to work with solar time, i.e. where noon is exactly when sun culminates.

    R 7 1

  6. FireSightFireSightPublic

    A browser based visualization toolkit for the SeasFire data cube.

    TypeScript 5 3

Repositories

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Showing 10 of 34 repositories
  • EasyHybrid.jl Public

    EasyHybrid.jl provides a simple and flexible framework for hybrid modeling, enabling the integration of neural networks with process-based models.

    EarthyScience/EasyHybrid.jl’s past year of commit activity
    Julia 15MIT 5 15 9 UpdatedDec 17, 2025
  • RQADeforestation.jl Public

    Sentinel-1 based deforestation detection written in Julia

    EarthyScience/RQADeforestation.jl’s past year of commit activity
    Julia 2MIT 1 15 8 UpdatedDec 15, 2025
  • Browzarr Public

    A browser-based visualization framework for exploring and analyzing Zarr data stores.

    EarthyScience/Browzarr’s past year of commit activity
    TypeScript 24Apache-2.0 2 39(1 issue needs help) 0 UpdatedDec 15, 2025
  • FAIRSenDD Public

    ESA project to create a deforestation SaaS

    EarthyScience/FAIRSenDD’s past year of commit activity
    Python 3MIT0 6 1 UpdatedDec 5, 2025
  • RQADeforestation.py Public

    Python bindings for the Julia package RQADeforestation.jl

    EarthyScience/RQADeforestation.py’s past year of commit activity
    Python0MIT 1 0 0 UpdatedDec 4, 2025
  • stacathome Public Forked fromMarkusZehner/stacathome

    load satellite data from various sources into xarrays

    EarthyScience/stacathome’s past year of commit activity
    Jupyter Notebook0BSD-3-Clause 1 0 0 UpdatedNov 26, 2025
  • HybridVariationalInference.jl Public

    Extenting variation inference to hybrid, i.e process and machine learning, models

    EarthyScience/HybridVariationalInference.jl’s past year of commit activity
    Julia0MIT0 0 1 UpdatedNov 24, 2025
  • HybridSymbolics.jl Public

    An end to end symbolic framework for parameter learning hybrid models

    EarthyScience/HybridSymbolics.jl’s past year of commit activity
    Julia 2MIT0 0 0 UpdatedNov 24, 2025
  • DistributionFits.jl Public

    Extension of Distributions.jl allows specifying distributions by aggregate statistics #1296

    EarthyScience/DistributionFits.jl’s past year of commit activity
    Julia 4MIT 1 0 1 UpdatedNov 24, 2025
  • EarthyScience/UnpackSinTiles.jl’s past year of commit activity
    Julia0MIT 1 1 0 UpdatedNov 24, 2025

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