Tag: Remote Sensing

November 25th-26th: Workshop on reducing carbon emissions in large-scale computational data analysis

On Tuesday November 25th, in lieu of our normal Lecture Series talks, we will begin our Workshop on reducing carbon emissions in large-scale computational data analysis! The workshop will continue on Wednesday with more speakers and opportunities for discussion.

The workshop was planned in collaboration with the Quantitative Biology Center (QBiC), the bioinformatics core facility from the University of Tübingen. We have invited 14 speakers from around Europe and the UK to discuss current research into the environmental impacts of large scale scientific computing. More information, including the schedule, can be found here.

FONDA Winter 2025/2026 Lecture Series Begins Oct. 28

On selected Tuesday afternoons from October 28th 2025 to mid-February 2026, FONDA will host 2-3 short scientific talks on a variety of topics related to large scale data analysis and workflows in natural science. The complete schedule (subject to change) can be found here: FONDA Winter Lecture Series.

On October 28th, we will meet in the Humboldt-Kabinett (first floor seminar room of Rudower Chaussee 25, 12489 Berlin-Adlershof) at 15:15 for the following two talks:

  • Nikos Tsakiridis – University of Thessaloniki: From Petabytes to Pedons: Cloud-Native Earth Analytics for Soil Mapping
  • Matthes Rieke – 52 Degrees North: Biodiversity monitoring with openEO – a look at scalability and reproducibility

You can also follow our lecture series online.

We are looking forward to seeing you there!

Data Aware Scheduling Method Now Available for Nextflow

With the latest release of the nf-cws Nextflow-Plugin, Fabian Lehmann and Friedrich Tschirpke introduce the WOW scheduling method as a production-ready feature. This release marks the transition of the WOW approach from a research prototype to a usable software component, fully integrated with the official Nextflow versions (v24.04.0 up to v25.02.3-edge).

Key Features:

  • WOW Scheduling for Nextflow: The Workflow-Aware data movement and task scheduling (WOW) method is now available as part of nf-cws. This enables dynamic coordination of data transfers and task execution, reducing network congestion and workflow runtime.
  • Seamless Integration: The nf-cws plugin can be used directly with Nextflow’s Kubernetes executor, requiring no experimental patches or custom setups.
  • Production Use: The improvements demonstrated in the original publication can now be leveraged by all Nextflow users in real-world scenarios.

-Fabian Lehmann

PI-Lecture Series part 2

Our second set of PI-Lectures will be today at 15:00 at Einstein Center Digital Future. The following PIs will be presenting their research areas:

  • Patrick Hostert – Satellite Remote Sensing
  • Matthias Boehm – System Infrastructure for Data-centric ML Pipelines
  • Tillman Rabl – Carbon-efficient Data Systems
  • Odej Kao – LLMOps for Reliability and Availability of Massive AI Infrastructures

FONDA contributed the first non-Bioinformatics Workflow to nf-core

We have successfully ported and contributed our Rangeland workflow [1], [2] to the nf-core workflow repository. This milestone marks the release of the first non-bioinformatics workflow on nf-core, which now serves as a blueprint for workflows in remote sensing and other domains. Being a part of the nf-core community confirms that our workflow uses best practices and ensures accessibility to researchers worldwide.


The Rangeland workflow analyzes trends in grassland changes, providing valuable insights for environmental research.

This achievement was made possible by subproject B5: Felix Kummer, Katarzyna Ewa Lewińska, Fabian Lehmann, and David Frantz.

-Fabian Lehmann