Towards unlocking the potential of freely available Copernicus data for environmental monitoring through spatio-(spectro-)temporal deep learning

Stien Heremans; Margot Verhulst; Julie Callebaut; Francis Turkelboom; Ils Reusen; Tanja Van Achteren; Matthew Blashko; Ben Somers

Towards unlocking the potential of freely available Copernicus data for environmental monitoring through spatio-(spectro-)temporal deep learning

Stien Heremans, Margot Verhulst, Julie Callebaut, Francis Turkelboom, Ils Reusen, Tanja Van Achteren, Matthew Blashko, Ben Somers

Research output: Contribution to conference › Poster

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Abstract

Original language	English
Number of pages	10
Publication status	Published - 11-Oct-2021

Thematic List 2020

Other
Data & infrastructure

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Space

Policy

policy support (inc. instruments)

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Flanders

Technological

detection technology
modelling

Access to Document

Phi week 2021 presentationFinal published version, 1.11 MB

Cite this

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author = "Stien Heremans and Margot Verhulst and Julie Callebaut and Francis Turkelboom and Ils Reusen and {Van Achteren}, Tanja and Matthew Blashko and Ben Somers",

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T1 - Towards unlocking the potential of freely available Copernicus data for environmental monitoring through spatio-(spectro-)temporal deep learning

AU - Heremans, Stien

AU - Verhulst, Margot

AU - Callebaut, Julie

AU - Turkelboom, Francis

AU - Reusen, Ils

AU - Van Achteren, Tanja

AU - Blashko, Matthew

AU - Somers, Ben

PY - 2021/10/11

Y1 - 2021/10/11

M3 - Poster

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