Create operational EO products and services. Learn how to process EO data in real-time on the cloud!

Focus on your algorithm only!

Sinergise, the company that developed Sentinel-Hub, is a software development company focused on large-scale GIS for agriculture and land administration,with a long track record in cloud GIS. While attempting to get Sentinel-2 data to their customers in Europe, Africa and Asia, they realized that current technologies were not up to the challenge. Transferring the massive amount of data and efficiently processing it into an image, useful to users, would be cumbersome, time-consuming and expensive.

Sentinel Hub was born out of the desire to remedy this problem. Sentinel-Hub has hidden the complexity of archiving, processing and distributing satellite imagery behind a set of standard web services which can be easily integrated into any desktop, web or mobile mapping application.

During this remote sensing online course you will learn how to leverage the power of Sentinel-Hub platform in order to create your own Earth Observation products!

We start with a simple introduction to they way Sentinel-Hub platform works and then we dive into:

  • How to integrate it with your own desktop software and server services
  • How to create customs Earth Observation products using JavaScript
  • Examples of real-life EO applications

Pricing - Lifetime Access

Learn to develop global EO products

Global satellite archives, multi-temporal processing and real-time access

Experience the cutting-edge platform that removes the complexity of handling satellite data

Course curriculum

  1. 01
  2. 02
    • Lesson 2: About Sentinel-Hub Platform

    • Lesson 3: Create Account and Login

    • Lesson 4: Exploring Sentinel Playground

    • Lesson 5: Exploring the EO Browser

    • Lesson 6: Getting Started with WMS Configurator

  3. 03
  4. 04
    • Lesson 12: About Custom Scripting in Sentinel Hub

    • Lesson 13: Water bodies and Floods Mapping

    • Lesson 14: Wildfires Detection and Monitoring

    • Lesson 15: Automatic Cloud Classification on Sentinel-2 images

    • Lesson 16: Moisture Index Mapping

What will you learn?

  • Basic Sentinel-Hub Platform functionality

  • Integration with QGIS, ArcMap, Geoserver

  • Custom Scripting in Sentinel-Hub Configurator

  • Sentinel-Hub OGC API

  • Integration with OpenLayers, Leaflet and Google Maps API

  • Real-life Earth Observation Applications

Any Prerequisites?

  • Account in the Sentinel-Hub platform (instructions are given inside the course)

  • Basic understanding of JavaScript

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

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