ESA Sentinel Application Platform Tutorial

ESA Sentinel Application Platform Tutorial

Become an expert of SNAP with this step-by-step video course

Learn SNAP using EU flagship COPERNICUS satellite program

Master Europe's most innovative satellite infrastructure!

COPERNICUS Sentinels satellites

This video course is a detailed walkthrough guide of the European Space Agency (ESA) Sentinels Application Platform (SNAP) software.

A common architecture for all Sentinel Toolboxes is being jointly developed by Brockmann Consult, Array Systems Computing and C-S called the Sentinel Application Platform (SNAP).

The SNAP architecture is ideal for Earth Observation processing and analysis due the following technological innovations: Extensibility, Portability, Modular Rich Client Platform, Generic EO Data Abstraction, Tiled Memory Management, and a Graph Processing Framework.

This video course is structured in a way to get easily familiar with the software. Real Sentinel-1 (SAR) and Sentinel-2 (Optical) images are used during the entire course.

The functionality and modules of SNAP are applied on these images in order to understand exactly how to operate SNAP!

Just follow the steps described in each video course and you will become a SNAP expert in a fraction of time!

Enhance your knowledge of Earth Observation and Remote Sensing along the way!

Check out the curriculum for the detailed contents of this video course! 

Learn SNAP and capture the opportunities

You won’t regret it!

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!


Downloading COPERNICUS Sentinel-1 and Sentinel-2 images


  • Lesson 1: Download Sentinel-1 SAR Images from ESA's SchiHub portal FREE TRIAL
  • Lesson 2: Download Sentinel-2 Multispectral Images from ESA's SchiHub portal

Opening Sentinel 1&2 images and basic SNAP controls


  • Lesson 3: Open Sentinel-1 SAR images FREE TRIAL
  • Lesson 4: Open Sentinel-2 Optical images
  • Lesson 5: ESA's SNAP software controls (Part 1)
  • Lesson 6: ESA's SNAP software controls (Part 2)
  • Lesson 7: Profile Plot Control
  • Lesson 8: Scatter Plot Control
  • Lesson 9: Spectral Plot Control
  • Lesson 10: Compute Statistic of the data

Image Display Handling


  • Lesson 11: Display RGB composites and Histogram manipulation FREE TRIAL
  • Lesson 12: Histogram Manipulation (Part 1)
  • Lesson 13: Histogram Manipulation (Part 2)
  • Lesson 14: SNAP multiple data views

Raster Data Analysis


  • Lesson 15: Band Filtering
  • Lesson 16: Create Terrain Mask using Sentinel-2 images
  • Lesson 17: Calculate Mask Statistics
  • Lesson 18: Compute Fractional Coverage of Land & Sea
  • Lesson 19: Mask out Land or Sea from Sentinel-2 images
  • Lesson 20: Calculate Texture on Raster Data
  • Lesson 21: Raster Band Math Operator
  • Lesson 22: Principal Component Analysis (PCA)
  • Lesson 23: Unsupervised Classification of Sentinel-2 images

Geometric Operations


  • Lesson 24: Subsetting an image
  • Lesson 25: Resampling Raster Data
  • Lesson 26: Reprojecting Raster Data

Synthetic Aperture RADAR (SAR) Operators


  • Lesson 27: SAR Apply Orbit File
  • Lesson 28: SAR Single Speckle Filtering
  • Lesson 29: SAR Radiometric Calibration
  • Lesson 30: SAR Geometric Terrain Correction

COPERNICUS Sentinel-1 Applications


  • Lesson 31: SAR Application: Oil Spill Detection
  • Lesson 32: SAR Application: Wind Field Estimation
  • Lesson 33: SAR Application: Ship Detection
  • Lesson 34: SAR Application: Urban Despeckle

Optical (Multispectral/Hyperspectral) Operators


  • Lesson 35: Sentinel-2 Spectral Unmixing
  • Lesson 36: Sentinel-2 Radiance to Reflectance

Optical Thematic Land Processing


  • Lesson 37: Thematic Land Processing: Biophysical Processor
  • Lesson 38: Thematic Land Processing: Soil Radiometric Indices
  • Lesson 39: Thematic Land Processing: Water Radiometric Indices
  • Lesson 40: Thematic Land Processing: Vegetation Radiometric Indices

What will you learn?

Basic SNAP data handling operations

Raster data management

Optical Image Processing

RADAR Image Processing

Sentinel-1 Ocean and Urban Applications

Sentinel-2 Thematic Land and Sea Processing

Any prerequisites?

Basic knowledge of Earth Observation or GIS is optional

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

Student Profile?

Under/post graduate students

Master students and PhD candidates


Researchers and Academics

About Your Instructor

Dimitris Sykas

Dimitris Sykas

Remote Sensing Expert

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.


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