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14th Advanced Training Course on Land Remote Sensing – Agriculture

Theory and practical material

Description

This post contains educational material from the 14th Advanced Training Course on Land Remote Sensing that was held in Thessaloniki, Greece, from the 19th September – 3rd October 2025.

Access specific videos (click on ), presentation slides (click on ), and exercise data (click on ) from the sessions here below, or download all the theory slides, practical slides and datasets from the link on the left side window.

Introduction

  • Introduction to the course and to ESA activities for agriculture, Espen Volden (31.3 MB)

Data Access: Copernicus Data Space Ecosystem & Third Party Missions

  • Data access Copernicus Space Data Ecosystem, Magdalena Fitrzyk (3.79 MB)

Introduction to EO for Agriculture

  • Introduction to Earth Observation for Agriculture, Jadu Dash (3.59 MB)

Optical pre-processing and hyperspectral analysis

  • Optical pre-processing and hyperspectral analysis, Marco Celesti, with contributions from Roberto Colombo, Sara Liburdi and Alexander Roessel (15.1 MB)

SAR pre-processing, POLINSAR and agricultural monitoring

  • SAR pre-processing, POLINSAR and agricultural monitoring, Elise Colin (11.6 MB)

SNAP

  • SNAP – Sentinel Application Platform, Magdalena Fitrzyk (11.1 MB)

Biophysical variables monitoring

  • Fluorescence Spectrometry and Radiative Transfer Modelling of Vegetation, Jochem Verrelst (4.11 MB)
  • From model simulations towards
    vegetation properties mapping: automating, optimizing & expanding, Jochem Verrelst (13.7 MB)
  • Biophysical variables monitoring exercise, Jochem Verrelst (953 MB)

Monitoring abiotic and biotic stressors

  • Monitoring abiotic and biotic stressors, Jadu Dash (7.6 MB)
  • Biophysical variables monitoring exercise, Jadu Dash (90.7 MB)

In-situ data sampling, accuracy assessment and phenology monitoring

  • In-situ data sampling, accuracy assessment and phenology monitoring exercise, Gohar Ghazaryan (9.50 MB)
  • In-situ data sampling, accuracy assessment and phenology monitoring exercise, Gohar Ghazaryan (916 KB)

Crop type mapping

  • Crop mapping from space, Kristof Van Tricht (12.4 MB)
  • Crop mapping from space exercise, Kristof Van Tricht (161 MB)

Temperature and evapotranspiration

  • Land Surface Temperature and Evapotranspiration Estimation, Tian Hu (3.54 MB)

Drought monitoring and yield prediction

  • Drought monitoring and crop yield forecasting, Nirajan Luintel, Emanuel Bueechi, Wolfgang Preimesberger, Wouter Dorigo (10.5 MB)

Yield prediction and water productivity

  • Crop water productivity and yield prediction, Egor Prikaziuk
  • Crop water productivity and yield prediction exercise, Egor Prikaziuk

Nutrients and carbon monitoring

  • Monitoring crop nutrients and soil properties using remote sensing and machine learning, Mariana Belgiu (6.96 MB)
  • Monitoring crop nutrients and soil properties using remote sensing and machine learning excercise, Mariana Belgiu (3.89 MB)

Closing session

  • Closing session, Espen Volden (2.3 MB)