DevLab 2020: EO Data Cube Workshop by Steven Hill

Dev Lab

DevLab 2020: EO Data Cube Workshop by Steven Hill

m

December 5, 2019

At the Department of Remote Sensing, we regularly organize workshops within the DevLab workshop series, which is meant to introduce colleagues to the code and software development done at the Department. This includes all levels of technical developments, ranging from (i) the pure implementation of scientific methods as code (e.g. to show colleagues, how certain problems were tackled) over (ii) the development of software tools (e.g. R packages, Python libraries, QGIS plugins, web applications etc.) to (iii) the implementation of functional tool chains and working chains (e.g. data infrastructures, product processors etc.).

In our first DevLab meeting of 2020 in January, Steven Hill will hold a workshop on Earth Observation data cubes, including an introduction into the Open Data Cube infrastructure, the PhenoCube user interface and the development of PhenoCube applications using Jupyter Notebooks.

About the upcoming workshop: The introduction of ever higher resolution remote sensing data has led to an explosive increase in high-quality earth observation data in recent years. Remote sensing earth observation data have already exceeded the petabyte scale and are increasingly freely and openly available from different databases. However, the abundance of information available in EO data is far from exhausted. The extraction and analysis of information from data sets represents an enormous technological challenge due to the quantity and diversity of the data. The technological nexus of constantly increasing spatial, temporal, spectral and radiometric resolutions through newly developed sensors and platforms creates a flood of remote sensing data and inevitably leads to the problem of ”big data”. EO Data Cubes (DC) are a new paradigm aiming to realize the full potential of EO data by lowering the barriers caused by these Big data challenges and providing access to large spatial-temporal data in an analysis ready form. This workshop is intended to introduce participants to the Open Data Cube infrastructure and to give a brief introduction to the different applications.

you may also like:

EORC at the International Africa Festival 2025 in Würzburg

EORC at the International Africa Festival 2025 in Würzburg

If you know Würzburg, you certainly know the International Africa Festival, Europe's largest and oldest festival for African music and culture. For 15 years in a row now, the university tent has been an integral part of the festival. This is where the...

EO4CAM meeting at LfU in Augburg on grassland in Bavaria

EO4CAM meeting at LfU in Augburg on grassland in Bavaria

As part of the EO4CAM project (Earth Observation Laboratory for Climate Adaption and Mitigation), representatives of the Bavarian Environment Agency (LfU), the German Aerospace Centre (DLR), and the Earth Observation Research Cluster (EORC) met at the LfU in...

New R Package Enhances UAS Research and Planning

New R Package Enhances UAS Research and Planning

We’re excited to share the development of a new R package created by our PhD student, Antonio Castaneda Gomez, whose contributions to Uncrewed Aerial Systems (UAS) research continue to impress. Known as the brain behind many of our UAS data collection...

Radio Bavaria BR2 covered our activities at the Africa-Festival

Radio Bavaria BR2 covered our activities at the Africa-Festival

Once again, our team proudly took part in the International Africa Festival in Würzburg, continuing our active participation within the University of Würzburg's exhibition—a tradition we’ve upheld for many years. This year’s event highlighted the ongoing commitment of...

Mapping Paleontology using UAS on cliffs

Mapping Paleontology using UAS on cliffs

We’ve recently started an exciting research project focused on mapping steep rock slopes that contain valuable paleontological information. Unlike most drone surveys that focus on horizontal ground surfaces, our work is aimed vertically—capturing data along exposed...