How green is Austria? An Austrian-wide information layer based on semantic querying of EO data

Martin Sudmanns; Hannah Augustin; Andrea Baraldi; Thomas Strasser; Dirk Tiede

doi:10.2760/46796

How green is Austria? An Austrian-wide information layer based on semantic querying of EO data

Martin Sudmanns^*, Hannah Augustin, Andrea Baraldi, Thomas Strasser, Dirk Tiede

^*Korrespondierende/r Autor/-in für diese Arbeit

Geoinformatik

Publikation: Beitrag in Buch/Bericht/Konferenzband/Gesetzeskommentar › Konferenzbeitrag › Peer-reviewed

Originalsprache	Englisch
Titel	Proceedings of the 2023 conference on Big Data from Space
Redakteure/-innen	Pierre Soille, Stefanie Lumnitz, Sergio Albani
Herausgeber (Verlag)	European Commission, Luxembourg: Publications Office of the European Union
ISBN (elektronisch)	978-92-68-08696-4
DOIs	https://doi.org/10.2760/46796
Publikationsstatus	Veröffentlicht - 2 Nov. 2023

Publikationsreihe

Name	Proceedings of the 2023 conference on Big Data from Space

Systematik der Wissenschaftszweige 2012

107 Andere Naturwissenschaften

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

Zugriff auf Dokument

10.2760/46796

1 Abgeschlossen
1 Laufend

INTERFACE: INformaTion accEss seRvice For Austrian CopErnicus and contributing missions data
Tiede, D. (Projektleitung), Augustin, H. L. (Projektmitarbeiter/in), Sudmanns, M. (Projektmitarbeiter/in) & Strasser, T. (Projektmitarbeiter/in)
1/09/22 → 28/02/25
Projekt: Forschung
Sen2Cube.at: Sentinel-2 Semantic Data Cube Austria
Tiede, D. (Projektleitung) & Sudmanns, M. (Projektmitarbeiter/in)
2/07/18 → 31/07/20
Projekt: Forschung

How green is Austria? An Austrian-wide information layer based on semantic querying of EO data
Sudmanns, M. (Redner/in), Augustin, H. L. (Redner/in), Baraldi, A. (Redner/in), Strasser, T. (Redner/in) & Tiede, D. (Redner/in)
7 Nov. 2023
Aktivität: Gastvortrag oder Vortrag › Vortrag › science to science / art to art

Dieses zitieren

Sudmanns, M., Augustin, H., Baraldi, A., Strasser, T., & Tiede, D. (2023). How green is Austria? An Austrian-wide information layer based on semantic querying of EO data. in P. Soille, S. Lumnitz, & S. Albani (Hrsg.), Proceedings of the 2023 conference on Big Data from Space (Proceedings of the 2023 conference on Big Data from Space). European Commission, Luxembourg: Publications Office of the European Union. https://doi.org/10.2760/46796

Sudmanns, Martin ; Augustin, Hannah ; Baraldi, Andrea et al. / How green is Austria? An Austrian-wide information layer based on semantic querying of EO data. Proceedings of the 2023 conference on Big Data from Space. Hrsg. / Pierre Soille ; Stefanie Lumnitz ; Sergio Albani. European Commission, Luxembourg: Publications Office of the European Union, 2023. (Proceedings of the 2023 conference on Big Data from Space).

@inproceedings{d5f4d4c75a6a4d548b2e695546a0cd70,

title = "How green is Austria? An Austrian-wide information layer based on semantic querying of EO data",

author = "Martin Sudmanns and Hannah Augustin and Andrea Baraldi and Thomas Strasser and Dirk Tiede",

year = "2023",

month = nov,

day = "2",

doi = "10.2760/46796",

language = "English",

series = "Proceedings of the 2023 conference on Big Data from Space",

publisher = "European Commission, Luxembourg: Publications Office of the European Union",

editor = "Pierre Soille and Stefanie Lumnitz and Sergio Albani",

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Sudmanns, M , Augustin, H, Baraldi, A, Strasser, T & Tiede, D 2023, How green is Austria? An Austrian-wide information layer based on semantic querying of EO data. in P Soille, S Lumnitz & S Albani (Hrsg.), Proceedings of the 2023 conference on Big Data from Space. Proceedings of the 2023 conference on Big Data from Space, European Commission, Luxembourg: Publications Office of the European Union. https://doi.org/10.2760/46796

How green is Austria? An Austrian-wide information layer based on semantic querying of EO data. / Sudmanns, Martin ; Augustin, Hannah; Baraldi, Andrea et al.
Proceedings of the 2023 conference on Big Data from Space. Hrsg. / Pierre Soille; Stefanie Lumnitz; Sergio Albani. European Commission, Luxembourg: Publications Office of the European Union, 2023. (Proceedings of the 2023 conference on Big Data from Space).

Publikation: Beitrag in Buch/Bericht/Konferenzband/Gesetzeskommentar › Konferenzbeitrag › Peer-reviewed

TY - GEN

T1 - How green is Austria? An Austrian-wide information layer based on semantic querying of EO data

AU - Sudmanns, Martin

AU - Augustin, Hannah

AU - Baraldi, Andrea

AU - Strasser, Thomas

AU - Tiede, Dirk

PY - 2023/11/2

Y1 - 2023/11/2

U2 - 10.2760/46796

DO - 10.2760/46796

M3 - Conference contribution

T3 - Proceedings of the 2023 conference on Big Data from Space

BT - Proceedings of the 2023 conference on Big Data from Space

A2 - Soille, Pierre

A2 - Lumnitz, Stefanie

A2 - Albani, Sergio

PB - European Commission, Luxembourg: Publications Office of the European Union

ER -

Sudmanns M , Augustin H, Baraldi A, Strasser T , Tiede D. How green is Austria? An Austrian-wide information layer based on semantic querying of EO data. in Soille P, Lumnitz S, Albani S, Hrsg., Proceedings of the 2023 conference on Big Data from Space. European Commission, Luxembourg: Publications Office of the European Union. 2023. (Proceedings of the 2023 conference on Big Data from Space). doi: 10.2760/46796

How green is Austria? An Austrian-wide information layer based on semantic querying of EO data

Publikationsreihe

Systematik der Wissenschaftszweige 2012

UN SDGs

Zugriff auf Dokument

Projekte

INTERFACE: INformaTion accEss seRvice For Austrian CopErnicus and contributing missions data

Sen2Cube.at: Sentinel-2 Semantic Data Cube Austria

Aktivitäten

How green is Austria? An Austrian-wide information layer based on semantic querying of EO data

Dieses zitieren