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

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Oorspronkelijke taal	Engels
Aantal pagina’s	10
Publicatiestatus	Gepubliceerd - 11-okt-2021

Thematische Lijst 2020

Andere
Data & Infrastructuur

Thematische lijst

Ruimte

Beleidsmatig

beleidsondersteuning (incl. instrumenten)

Geografische lijst

Vlaanderen

Technologisch

detectietechnologie
modellering

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Phi week 2021 presentation!!Final published version, 1,11 MB

Dit citeren

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

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",

year = "2021",

month = oct,

day = "11",

language = "English",

}

TY - CONF

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

ER -