Secondary Electron Microscopy Images of Soil Samples
Secondary Electron Microscopy Images of Soil Samples(c) 2023 SoilCarbonHack



This page serves as introduction to the project SoilCarbonHack and gives an overview over available ressources and past and upcomming events.

Project Description

In cooperation with the Chair of Soil Science at the Technical University of Munich, we aim to apply data-driven methods and models of Spatial Data Science to NanoSIMS data in an interdisciplinary way through new spatial algorithms and data structures, software and infrastructures, in order to gain innovative insights into scientifically and societal significant storage mechanisms of organic carbon in soils. Through relevant participation of early-career scientists in the project team, a hackathon, and a methods workshop, we aim in particular to contribute to the perpetuated application in the scientific community.

Preprocessed NanoSIMS Data
(c) 2023 SoilCarbonHack


Different Stages of Processing
(c) 2023 SoilCarbonHack

Our knowledge on the storage of organic carbon in soils has changed drastically after discovering that the spatial arrangement in soil microstructures and mineral binding partners can contribute to carbon storage. However, an overarching understanding of the extent to which the spatial arrangement of soil microstructures causes locally different turnover of carbon and how much this affects soil fertility indifferent ecosystems lags behind the wealth of data from new spectromicroscopic analyses. With the help of a nano-scale secondary ion mass spectrometer (NanoSIMS), the Chair of Soil Science at the Technical University of Munich has been able to gain novel insights and individual findings on the importance of the complex biogeochemical arrangement of soil microstructures for the turnover of organic carbon.

In order to develop a understanding across ecosystems, novel methods and data tools are needed to enable the identification of functionally connected spatial patterns and their importance for carbon dynamics. A development and adaptation of spatial data mining methods, as already widely applied within remote sensing, will enable sustainable impulses of data science in the field of soil science.


Following, you find open educational ressources, software, and other material related to the project. For any questions regarding the materials, please contact the respective author(s).


Open Education



SoilCarbonHack(athon) Flyer
(c) 2023 SoilCarbonHack

We hosted a Hackathon in October 2023, putting together soil-driven and data-driven minds over microscale NanoSIMS images to improve our understanding of soil carbon storage. Check our hackathon page for infos, images, and related ressources.


Johann Maximilian Zollner
Professorship of Big Geospatial Data Management
Lise-Meitner-Str. 9
85521 Ottobrunn

Yahan Hu
Chair of Soil Science
Emil-Ramann-Straße 2
85354 Freising

© 2020 M. Werner