Copernicus – Sentinel 1 & 2 Satellite Data Processing & Applications Training

Start date: 29 November 2021

Duration: 2 Days - 9.30am to 5.00pm and 3 Days Practice Session

Location: Online Course Delivery

Certificate: Certificate of Course Completion

Cost: Network Members: €300/person

Programme overview

Space Industry Skillnet in collaboration with SERCO have organized a two day Training Course (followed by 3 days Practice Session) focusing on the practical applications of SENTINEL satellite 1 & 2 data.

This course provides Earth Observation training on thematic applications, demonstrating EO data and dedicated processes on Copernicus Sentinel data using ONDA DIAS infrastructure, building users expertise through ONDA Virtual Machines with graphical remote desktop interfaces, software tools (e.g. SNAP, QGIS & Python) with access to cloud based Copernicus Sentinel Data and information.

Learning outcomes

• Earth Observation data for Agricultural Application (Crop mapping, Monitoring)
• Sentinel-1 SAR data processing
• Sentinel-2 Optical data processing
• Copernicus data processing using SNAP software (incl. command interface, GPT & Snappy Python modules)
• EO data processing with Python based Jupyter notebooks
• Supervised classification using ML algorithms
• Optical & SAR time-series analysis
• Vegetation indices for agricultural monitoring

Who is the course for

Earth Observation data analysis engineers, managers & other professionals wanting to learn and improve their understanding and expertise on the use of EO & SAR data processing, programming agriculture/land, ocean & atmosphere, time series processing & SNAP.

Important: The number of places on the course is strictly limited to 12 places and that these will be allocated on a first come-first served basis.

Modules

Virtual Classroom Session (2 Days): Introduction to ONDA DIAS with Optical (Sentinel-2) & SAR (Sentinel-1) data feature level fusion for crop monitoring through hands-on exercises.
Sentinel 1 Data:  Use of the ESA SNAP Toolbox Python module & Command line interface-GPT for Sentinel-1 data analysis
Sentinal 2 Data: Using the Python based Jupyter Notebook for Sentinel-2 data analysis
Machine Learning: Supervised Classification in Python based Jupyter Notebook
Practice Session (3 Days): Scientific Webinar & support (ONDA Services available for 5 days)

Trainer Profile

SERCO support ESA training activities having strong EO application experience with Sentinels data & Copernicus products, providing expertise in scientific support to participants training and post training sessions.

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