This ECMWF-ESA Machine Learning Workshop aims to explore the fusion of traditional Earth System Observation and Prediction (ESOP) techniques with machine learning (ML) and deep learning (DL) methods.
It seeks to showcase the impact achieved through this fusion, while also addressing the remaining challenges that need further exploration. The presenters will show their contributions to this field and engage the attendees in discussions to provide a comprehensive understanding of the subject. The workshop strongly welcomes industry to demonstrate their commercial lenses for ML4ESOP applications.
This event will delve into the transformative role of ML in enhancing data analysis and predictive modelling within atmospheric sciences. Participants will engage with leading experts, partake in hands-on sessions, and explore cutting-edge innovations that are shaping the future of climate research and operational forecasting.
IPTSAT will host a webinar on ‘Copernicus for Smart Cities: Using Satellite Data to Support Urban Decisions’. The event is designed for public administration technicians, urban planners and professionals interested in leveraging satellite data for land-use planning.
In the webinar, IPTSAT experts will demonstrate how to access Copernicus data and apply it to urban planning. Participants will learn how to
- Access satellite data from the Copernicus program
- Find and download Sentinel imagery
- Explore data using online tools
- Integrate satellite data into GIS software
- Use data for environmental and urban analysis
Tools to be featured include the Copernicus Data Space Ecosystem, the Copernicus Browser, and QGIS integration via openEO (including short practical demonstrations on how to get started).
Real-world examples of satellite data for urban monitoring will be explored, such as urban heat islands; urban greenery distribution and health monitoring; land consumption, tracking soil sealing and urban growth; and water quality monitoring.
Image credit: ©stock.adobe.com/au/Inna
