Learn how to process Sentinel-2 images and build Earth Observation Applications
During this course you will learn how to process ESA's COPERNICUS Sentinel-2 data using SNAP software.
The objective of the course is to make the student capable of creating optical-based Earth Observation Applications.
To be more precise:
are the main applications examined.
The Graph Builder module is used extensively during the course in order to create workflows.
Example XML workflow files are provided within the course to better help students practice at their own computers!
Example Sentinel-2 images are also included in the course, so you can test the contents of course presented directly to your computer!
By the end of the course can claim your blockchain based digital certificate to better prove your skills! Best part? It come with price of the course, no hidden costs. Just enroll to the course, successfully finish all lessons in the course, and claim you certificate.
According to the "Study to examine the socio-economic impact of Copernicus in the EU", more than 10.000 related jobs will be needed!
Become an expert on SNAP now and tap to the fast growing Earth Observation Downstream market!
I'm a Remote Sensing and a Surveying Engineer. I received my degree from NTUA in 2010, where I also received my Ph.D. in hyperspectral remote sensing in 2016. From graduation in 2010, my career started as a Researcher Associate and Teaching Associate in the Laboratory of Remote Sensing of NTUA. From that time I also worked at several private companies as a Remote Sensing Expert and Geospatial Analyst. From the beginning of 2015 I was positioned as Senior Earth Observation Expert. During these years, I have participated in more than 20 funded European Commission and European Space Agency projects, have over 16 peer reviewed scientific publications in the field of Remote Sensing, and have an international patent in hyperspectral data compression.
My main research and professional interests are in the optical remote sensing area, where I specialize in data (images, point measurements) processing and algorithm design and development. Some of the software tools that I operate to accomplish my research and business dreams are SNAP, ENVI, IDL, QGIS, ERDAS Imagine, ArcGIS, and Python. I have been working with these tools since 2008.