In addition to the data science symposium on Monday October 26th, this year Deltares will for the first time offer data science workshops on Tuesday October 27th and Wednesday October 28th.
The goal of these workshops is to bring data users, data collectors and data scientists together to hear and learn about new trends and techniques. There will be demonstrations, hands-on sessions and of course the possibility to participate in discussions on current methods and outstanding problems in data science.
The complex task of Earth Observation data processing is broken down by considering how to use Observations to derive Information and creating Solutions. Participants will have the opportunity to explore and experiment with the use of remote sensing images, Web Processes Services and geospatial analysis with Google Earth Engine. All tools and models are open-source and will be made available to the participants.
The workshops are in particular aimed at engineers and researchers interested in applying data science to engineering problems and wishing to gain an understanding of this rapidly evolving field and the ways in which mathematics and statistics can contribute.
A number of experienced scientists with a variety of backgrounds from academics, laboratories, and industry are invited to give presentations and lead the workshops. The workshops are free of charge, however registration is required through the links provided below.
Covered topics include:
- Processing satellite data with Sentinel toolbox
You will learn about a collection of processing tools, data product readers and writers and a display and analysis application to support the large archive of data from ESA SAR missions including SENTINEL-1, ERS-1 & 2 and ENVISAT.
- Data management with OpenEarth
OpenEarth aims for a more continuous approach to data and knowledge management. It provides the OpenEarth DataLab: a platform to archive, host and disseminate high quality data, state-of-the-art model systems and well-tested tools for practical analysis.
The European Foreshore Assessment using Space Technology (FAST) project will assess the flood protection provided by foreshore ecosystems using satellite images. The project explores innovative tools for mapping vegetation and use of open source software for data analyses and management. How the FAST toolbox plays a role in data gathering and analyses is the focus of the workshop.
- EartH2Observe: a case study
This project Integrates available global earth observation, in-situ datasets and models and will construct a global water resources re-analysis dataset of significant length. The adata will allow for improved insights on the full extent of available water and existing pressures on global water resources in all parts of the water cycle.
Registration and more programme details of the data science workshops are found by clicking below.
View schedule and register for Tuesday Oct. 27th
View schedule and register Wednesday Oct. 28th