Trans-Atlantic Training 2022 (TAT-9): A Changing Eastern Europe: New Challenges for Science and Capacity Building in Land Remote Sensing

This post contains educational materials from the event Trans-Atlantic Training 2022 (TAT-9): A Changing Eastern Europe: New Challenges for Science and Capacity Building in Land Remote Sensing held in Prague, Czech Republic, from 05-09 September 2022.

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.

Any video recordings for this event are published here .

Introduction:

• ESA Intro and ESA EO Missions, F. Sarti  (23 MB)
• EU Space data for market downstream innovation, C. Solimini (2 MB)

SAR & Optical Remote Sensing for Land Cover Applications and Classification:

• SAR Basics for Land (theory) , P.L.Frison (32 MB)
• Vegetation classification with Sentinel-1 and Sentinel-2 data (practical), P.L.Frison (67 MB)

Using OpenEO Platform for Land Cover:

• Intro and case study on Land Cover in OpenEO Platform (practical), J. Dries (1 MB)

SAR & Optical Remote Sensing for Agriculture:

• SAR and Optical Remote Sensing for Agriculture (theory), K Oštir
• SAR and Optical Remote Sensing for Agriculture (practical), K Oštir

Crop monitoring during COVID-19 with ESA RACE Dashboard and EO Browser:

• Crop monitoring during COVID-19 with ESA RACE Dashboard and EO Browser (practical), AC Gómez (3 MB)

Remote Sensing for Secondary School Teachers and Students:

• School introduction to EO and Air Quality (Theory), F Sarti (1 MB)

Vegetation Spectroscopy:

• Vegetation Spectroscopy (theory), P. Campbell and J. Albrechtova

Impacts of Armed Conflict on Land Use:

• Agricultural land abandonment mapping using Google Earth Engine (theory) H. Yin
• How the armed conflicts affect land systems: A remote sensing perspective (practical) H. Yin

Monitoring Fires using Remote Sensing:

• Monitoring fires using remote sensing (practical), J. L. McCarty

Land Cover/Land Use Mapping with Remote Sensing and Machine Learning:

• Land cover land use mapping with remote sensing and machine learning (theory), S. Skakun
• Land cover land use mapping with remote sensing and machine learning (practical), S. Skakun

Local Remote Sensing Projects:

• From startup idea to global service based on EO (theory), R. Bohovic