EOS has created a cloud-based platform and analytics tool from which images and analyses of satellite and other earth observation data are derived in real time for application in business, science, and public policy.

In this remote sensing online course you will learn how to use the EOS Platform with real Earth Observation examples!

The platform has four main modules.

1. LandViewer

LandViewer is a simple, intuitive web interface that EOS provides as a direct market product to the public. LandViewer allows non-expert users to select a geographic area for analysis, an earth observation data types, and then apply their choice of on-the-fly imagery analytics.


EOS Storage specially developed to store and get the instant access to thousands and thousands of Terabytes of Earth Observation and GIS related data.


EOS Processing is the cloud-based solution for remote sensing analytics. It provides a unique suite of algorithms that extract meaningful information.


Geodata Visualization Tool

Become an expert on the EOS Platform capabilities

On-the-fly processing of thousands of sq km of images with instant delivery of the results to the user. The ability to process any kind of data to create the most comprehensive analytics, such as InSAR and Point cloud, on a huge scale. Operations based on data from the majority of imagery providers worldwide

Course curriculum

  1. 01
    • Lesson 1: Overview of EOS Platform

  2. 02
    • Lesson 2: Exploring the main functionalities of Land Viewer

    • Lesson 3: Areas of Interest (AOIs)

    • Lesson 4: AOI subscription with alerts when a new image is acquired

    • Lesson 5: RGB composites

    • Lesson 6: Custom Composites and 3D Visualization

    • Lesson 7: Integrating EOS Landviewer to your favorite GIS software with WMS service

    • Lesson 8: Manipulating contrast

    • Lesson 9: Download earth observation images

    • Lesson 10: Compare images on the fly

  3. 03
    • Lesson 11: The EOS Storage

  4. 04
    • Lesson 12: Exploring the main functions of EOS Processing

    • Lesson 13: Adding Data

    • Lesson 14: Spectral Indices

    • Lesson 15: Temperature Map

    • Lesson 16: Land Classification

    • Lesson 17: Field Contours

    • Lesson 18: Forestry

    • Lesson 19: Change Detection

  5. 05
    • Lesson 20: Uploading a Dataset

    • Lesson 21: Creating Maps

    • Lesson 22: Data Stylization

    • Lesson 23: SQL Requests

What will you learn?

  • All functionalities of the EOS Platform (LandViewer, EOS Storage, EOS Processing, EOS Vision)

  • How to download satellite images

  • Create and manage Areas of Interest (AOIs)

  • Custom RGB visualisations

  • Calculate spectral indices

  • Create temperature maps

  • Perform automatic land classification

  • Create field contours

  • Style data and create maps

  • SQL Requests

GEO Premium

Access our ENTIRE content with a yearly subscription only 8$/month

Student Profile?

  • Under/post graduate students

  • Professionals and Companies

  • Master students and PhD candidates

  • Researchers and Academics

Some more information

  • Certificates of Completion

    After you successfully finish the course, you can claim your Certificate of Completion with NO extra cost! You can add it to your CV, LinkedIn profile etc

  • Available at any time! Study at your best time

    We know hard it is to acquire new skills. All our courses are self paced.

  • Online and always accessible

    Even when you finish the course and you get your certificate, you will still have access to course contents! Every time an Instructor makes an update you will be notified and be able to watch it for FREE


About your Instructors

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.

Dimitris Sykas

Remote Sensing Expert