Conference | CoMet Toolkit

VH-RODA workshop 2025

Wed, 01 Oct 2025 00:00:00 +0000

We’re pleased to invite you to a hands-on tutorial session on the CoMet (Community Metrology) Toolkit, taking place during ESA’s Very High-resolution Radar & Optical Data Assessment (VH-RODA) 2025 Workshop which will be held at ESA-ESRIN, Frascati (Italy), from 17-21 November 2025. The tutorial itself will take place:

🗓 Wednesday 19th November

🕒 12:50 – 13:40

📍 ESA-ESRIN (Frascatti, Italy), Big hall

The CoMet Toolkit (www.comet-toolkit.org) is an open-source suite of Python tools for handling and propagating uncertainties and error-correlation in measurement data. Originally designed for Earth Observation (EO) applications, CoMet’s flexible tools can be applied to any dataset involving uncertainties — making it highly relevant for anyone working with measurement functions and data analysis in Python.

🗸 In this tutorial, we will:

Introduce the key concepts behind metrological uncertainty propagation
Walk through the core components of the toolkit:
- punpy – for robust uncertainty propagation with support for error-correlation structures
- obsarray – for managing and storing uncertainty metadata in a self-describing, traceable format
Work through a sensor calibration example using Google Colab-based Jupyter notebooks

This session will be tailored to implement rigorous, traceable uncertainty handling in satellite Cal/Val processing chains.

🗸 No installation is required beforehand – all examples will run in Google Colab!

Living Planet Symposium 2025

Thu, 01 May 2025 00:00:00 +0000

We’re pleased to invite you to a hands-on tutorial session on the CoMet (Community Metrology) Toolkit, taking place during ESA’s Living Planet Symposium 2025:

🗓 Sunday 22nd June

🕒 15:30 – 16:50

📍 Vienna, Living Planet Symposium (Room TBC)

The CoMet Toolkit (www.comet-toolkit.org) is an open-source suite of Python tools for handling and propagating uncertainties and error-correlation in measurement data. Originally designed for Earth Observation (EO) applications, CoMet’s flexible tools can be applied to any dataset involving uncertainties — making it highly relevant for anyone working with measurement functions and data analysis in Python.

🗸 In this tutorial, we will:

Introduce the key concepts behind metrological uncertainty propagation
Walk through the core components of the toolkit:
- punpy – for robust uncertainty propagation with support for error-correlation structures
- obsarray – for managing and storing uncertainty metadata in a self-describing, traceable format
Work through a sensor calibration example using Google Colab-based Jupyter notebooks

We’ll also provide support to get you started using CoMet with your own example use-case if time permits — so feel free to bring a Python example from your work involving measurement uncertainty.

Whether you’re working in satellite Cal/Val, EO data processing, or any other measurement-driven field, this session will help you implement rigorous, traceable uncertainty handling in your processing chains.

🗸 No installation is required beforehand – all examples will run in Google Colab!

UK EO conference

Tue, 06 Sep 2022 00:00:00 +0000

The UK National Earth Observation Conference 2022 – the premier annual event for the Earth Observation, Remote Sensing and Photogrammetry community took place on the 6-8th September 2022, providing a great opportunity for people to meet, network and learn about the latest developments in scientific research and space-enabled technology. The CoMet toolkit was presented in a session on “Python for Earth Observation and Climate Sciences”, which was an excellent fit. There was significant interest in our toolkit, and it was also very interesting to see all the other work people are doing in python for EO.

Living Planet Symposium

Thu, 12 May 2022 00:00:00 +0000

ESA’s Living Planet Symposium (LPS) is amongst the biggest Earth observation (EO) conferences in the world. There has been a growing interest in the EO comunity towards using approached from metrology (the measurement of science) to better quantify the uncertainties and error-correlation information on satellite and in-situ EO data. Having accurate uncertainties is paramount for making these data reliable, interpretable and actionable, which is key in understanding and reducing climate change. The CoMet poster being presented at LPS will provide a first introduction to our new toolkit, which aims to enable easier handling of covariance information. The 2022 LPS will be held at the World Conference Center, in Bonn, Germany on 23-27 May 2022. It promises to be bigger and wider ranging than ever before. We look forward to discussing our tools with such an extensive audience.