Discover the sea level data from the SRAL sensor onboard the Sentinel-3 satellite. We will cover where to get data and how to interpret the data to answer scientific questions in Python through the Jupyter Notebooks interface. We will also introduce
the upcoming altimetry sensor on the Sentinel-6 mission.
with Vinca Rosmorduc and Olly Clements
16 September 2020, 12:00 UTC
A formula-free approach to remote sensing based on images from GOES and Meteosat satellites. How to twist radiance readings at the satellite into air temperatures and soil characteristics. Guided exercises on viewers will try to make you familiar with
satellite data.
with Jose Prieto
30 September 2020, 12:00 UTC
with Mark Higgins
6 October 2020, 13:00 UTC
Download, plot and explore new fire products and aerosol data to characterize the fire plumes evolution and position during the 2019 wildfire season using Jupyter Notebooks
The activity is structured with a Webinar, Self-paced and wash-up session.
with Federico Fierli, Julien Chimot and Julia Wagemann
Feedback session: 19 Oct 2020, 12:00 UTC
Details on the CM SAF SARAH climate data record (available since 1983), focusing on sunshine duration and surface solar radiation, incl. current applications and future developments. In an interactive session you will be able to explore the SARAH data record using the CMSAF R Toolbox and discuss the results.
with Jörg Trentmann, Uwe Pfeifroth, Steffen Kothe and Christine Träger-Chatterjee
28 October 2020, 12:00 UTC
Discover Ocean and Land Colour data from the Instruments (OLCI) onboard the Sentinel-3 satellites, including data access, visualization and processing. Tools will include Python, Jupyter Notebooks & SNAP.
with Lauren Biermann and Oliver Clements
25 November 2020, 12:00 UTC
Download, plot and explore level 2 data and build a gridded dataset following robust methods using Jupyter Notebooks
The activity is structured with a Webinar, Self-paced and wash-up session
with Alessandra Cacciari and Julia Wagemann9 December 2020, 12:00 UTC
R-Instat to compare / combine satellite based climate monitoring products with "your" station data (support from IDEMS on R-Instat)
... to analyse climate phenomena / extremes in your ROI (ROI must be covered by the data)
with Danny Parsons (IDEMS), Steffen Kothe and Christine Träger-Chatterjee
December 2020, 12:00 UTC
Get an overview on the climate data records available from the EUMETSAT Satellite Application Facilities, learn how to access them and gain first experiences on working with free and open data in the CM SAF - R -Toobox. Data and software developers will be available for questions and guidance.
20 May 2020
The course was offered in the context of EGU2020: Sharing Geoscience Online (#shareEGU20)
Learn about Copernicus data for Atmospheric Composition and learn how to develop your own workflows based on sample applications. The European Union Copernicus programme is open and free for everyone - whether from academic, government, or commercial backgrounds. The programme has an operational focus, with satellite constellations and services. Satellite data provides composition vital information on key atmospheric constituents at different spatial and temporal scales with a continuous improvements in observational spatial and temporal resolution, coverage and measured species as well as a constantly evolving added value products from the Copernicus Atmospheric Monitoring Services.
26 May 2020
The course was offered in the context of EGU2020: Sharing Geoscience Online (#shareEGU20)
This short course will guide attendess through the workflow of finding appropriate data, downloading the data and analysing the data. Through the course we will make use of the WeKEO DIAS hosted processing system, Sentinel Applications Platform (SNAP) software, and Python programming language.
19 May 2020
The course was offered in the context of EGU2020: Sharing Geoscience Online (#shareEGU20)
