Learn how to map glaciers and snow cover with Sentinel-2 and SNAP.

How to use multispectral images to map the glaciers of our world?

Presently, 10 percent of land area on Earth is covered with glacial ice, including glaciers, ice caps, and the ice sheets of Greenland and Antarctica. Of course due to climate change this percentage decrease unfortunately. Areas filled with glaciers cover over 15 million square kilometers, while they store about 75 percent of the world’s fresh water.

Glaciers are an essential part of our living environment and especially the cryosphere. Although not everybody is familiar with glaciers, they are considered as very important natural regions that need to be preserved and monitored. Scientists analyzing glaciers can better model and understand the climate and it’s changes and dive into earth’s long forgotten climate history!

Remote sensing images acquired from different platforms (satellite, aircraft) using sensors that operate in different spectral regions (visible, infrared, microwave) have been widely used to study glaciers, e.g. to measure ice thickness, surface ice velocities, and changes in surface elevation over time. Remote sensing techniques have been used for spectral characterisation of different snow and icefaces, preliminary inventory of glaciers including aerial extent and position of large crevasses, and for mapping and monitoring glacial variations especially at the glacier margins and terminus location.

The images below are different time stamps of the same area. In the left you have the natural colour (as you would see it with you own eyes) and in the right you see the result of an index called NDGI (Normalized Difference Glacier Index).

Multi-temporal Sentinel 2 imagery data allow the terminus and area mapping of glaciers as well as the study of the spectral characteristics of snow and ice in the spatial resolution of 10 m — 20 m.

Climate is Changing. Learn now how to map our planet's most fragile ecosystems!

This remote sensing online course is about helping you understand glacier and snow cover mapping using Earth Observation satellites. Initially we focus on the basic principles, i.e. how snow interacts with the electromagnetic radiation. Then we proceed on the specific methodologies that will allow you to map glaciers and snow covered areas using multispectral satellite images. From the practical side, we also focus our learning on how to perform these methods in ESA's SNAP software. We also provide ready-to-use XML files for the SNAP GPT!

Course curriculum

  1. 01
    • Lesson 1: Introduction to the course

  2. 02
    • Lesson 2: Electromagnetic Radiation Basics

    • Lesson 3: How Snow interacts with Visible and NIR Radiation?

    • Lesson 4: How Snow interacts with Thermal Radiation?

    • Lesson 5: How Snow interacts with Microwave Radiation?

    • Quiz 1

  3. 03
    • Lesson 6: Earth Observation Workflows

    • Lesson 7: ESA SNAP Graphical Processing Tool (GPT)

    • Lesson 8: ESA SNAP Graph Builder

    • Lesson 9: Band Math and SNAP GPT

    • Quiz 2

  4. 04
    • Lesson 10: Glacier and Snow Mapping Methods

    • Lesson 11: Spectral Index Mapping Method

    • Download Spectral Index Mapping Method

    • Lesson 12: Principal Component Analysis Mapping Method

    • Download PCA Mapping Method

    • Quiz 3

What will you learn?

  • glacier mapping using remote sensing

  • Sentinel-2 processing to map Glaciers and Snow Cover

  • ESA SNAP Graph Builder Tool

  • ESA SNAP GPT

  • Learn how electromagnetic radiation interacts with snow

Any prerequisites?

  • Basic knowledge of Earth Observation

  • Be familiar with ESA Sentinels Application Platform (SNAP) software

  • A simple laptop or desktop computer to follow the course's steps

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 Instructor

Dimitris Sykas is a Remote Sensing and Surveying Engineer with a Ph.D. in hyperspectral remote sensing from the National Technical University of Athens (2016). He has spent fifteen years turning satellite data into operational products: at the NTUA Remote Sensing Laboratory, at Planetek Hellas as Senior EO Engineer, at Neuropublic building machine-learning models for smart farming and CAP monitoring, as a postdoctoral researcher on deep learning for agricultural Earth observation at the National Observatory of Athens, and as CTO of the cloudeo group. In 2024 he co-founded GOVADI, an Athens-based company building sovereign, on-premises AI systems for the Greek public sector and large enterprises, where he leads the technical direction of its products: Greek speech-to-text, retrieval-augmented generation with local models and embedding stores, document OCR and PII anonymisation. He has taken part in more than 25 funded EU and ESA projects, has authored over 23 peer-reviewed publications in remote sensing, and holds an international patent in hyperspectral data compression. He founded GEO University to bring hands-on GIS and Earth observation training online.

Dimitris Sykas

Remote Sensing Engineer, Ph.D. · Co-founder and Director, GOVADI · Founder, GEO University

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