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

2271 Downloads (Pure)

Abstract

Original language	English
Number of pages	10
Publication status	Published - 11-Oct-2021
Event	ESA Φ-WEEK - online Duration: 11-Oct-2021 → 15-Oct-2021 https://phiweek.esa.int/

Workshop

Workshop	ESA Φ-WEEK
Period	11/10/21 → 15/10/21
Internet address	https://phiweek.esa.int/

Thematic List 2020

Other
Data & infrastructure

Policy

policy support (inc. instruments)

Geographic list

Flanders

Technological

detection technology
modelling

Access to Document

Phi week 2021 presentationFinal published version, 1.11 MB

Spatio-temporal deep learning workflows for transforming remote sensing data into geo-indicators for environmental policy support
Heremans, S. (Project leader), Callebaut, J. (Cooperator), Casaer, J. (Cooperator), Onkelinx, T. (Cooperator), Pallemaerts, L. (Cooperator), Rutten, A. (Cooperator) & Turkelboom, F. (Cooperator)
1/10/20 → 31/12/25
Project: EVINBO - Vlaamse overheid

Cite this

@conference{baab2c85eacb42b5ad037d9479d92dd9,

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",

note = "ESA Φ-WEEK ; Conference date: 11-10-2021 Through 15-10-2021",

url = "https://phiweek.esa.int/",

}

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

T2 - ESA Φ-WEEK

Y2 - 11 October 2021 through 15 October 2021

ER -

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

Abstract

Workshop

Thematic List 2020

Policy

Geographic list

Technological

Access to Document

Projects

Spatio-temporal deep learning workflows for transforming remote sensing data into geo-indicators for environmental policy support

Cite this