Abstract data types for spatio-temporal remote sensing analysis

Martin Sudmanns; Stefan Lang; Dirk Tiede; Christian Werner; Hannah Augustin; Andrea Baraldi

doi:10.4230/LIPIcs.GIScience.2018.60

Abstract data types for spatio-temporal remote sensing analysis

Martin Sudmanns, Stefan Lang, Dirk Tiede, Christian Werner, Hannah Augustin, Andrea Baraldi

Geoinformatics

Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

Original language	English
Title of host publication	10th International Conference on Geographic Information Science, GIScience 2018
Editors	Amy L. Griffin, Stephan Winter, Monika Sester
Publisher	Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Print)	9783959770835
DOIs	https://doi.org/10.4230/LIPIcs.GIScience.2018.60
Publication status	Published - 1 Aug 2018
Event	10th International Conference on Geographic Information Science, GIScience 2018 - Melbourne, Australia Duration: 28 Aug 2018 → 31 Aug 2018

Publication series

Name	Leibniz International Proceedings in Informatics, LIPIcs
Volume	114
ISSN (Print)	1868-8969

Conference

Conference	10th International Conference on Geographic Information Science, GIScience 2018
Country/Territory	Australia
City	Melbourne
Period	28/08/18 → 31/08/18

Keywords

Big earth data
Data cube
Semantic analysis

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10.4230/LIPIcs.GIScience.2018.60

Cite this

Sudmanns, M., Lang, S., Tiede, D., Werner, C., Augustin, H., & Baraldi, A. (2018). Abstract data types for spatio-temporal remote sensing analysis. In A. L. Griffin, S. Winter, & M. Sester (Eds.), 10th International Conference on Geographic Information Science, GIScience 2018 (Leibniz International Proceedings in Informatics, LIPIcs; Vol. 114). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.GIScience.2018.60

Sudmanns, Martin ; Lang, Stefan ; Tiede, Dirk et al. / Abstract data types for spatio-temporal remote sensing analysis. 10th International Conference on Geographic Information Science, GIScience 2018. editor / Amy L. Griffin ; Stephan Winter ; Monika Sester. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2018. (Leibniz International Proceedings in Informatics, LIPIcs).

@inproceedings{7a0a2c272bbb41b8a4c1b9bd94b069cd,

title = "Abstract data types for spatio-temporal remote sensing analysis",

keywords = "Big earth data, Data cube, Semantic analysis",

author = "Martin Sudmanns and Stefan Lang and Dirk Tiede and Christian Werner and Hannah Augustin and Andrea Baraldi",

year = "2018",

month = aug,

day = "1",

doi = "10.4230/LIPIcs.GIScience.2018.60",

language = "English",

isbn = "9783959770835",

series = "Leibniz International Proceedings in Informatics, LIPIcs",

publisher = "Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing",

editor = "Griffin, {Amy L.} and Stephan Winter and Monika Sester",

booktitle = "10th International Conference on Geographic Information Science, GIScience 2018",

note = "10th International Conference on Geographic Information Science, GIScience 2018 ; Conference date: 28-08-2018 Through 31-08-2018",

}

Sudmanns, M , Lang, S , Tiede, D , Werner, C , Augustin, H & Baraldi, A 2018, Abstract data types for spatio-temporal remote sensing analysis. in AL Griffin, S Winter & M Sester (eds), 10th International Conference on Geographic Information Science, GIScience 2018. Leibniz International Proceedings in Informatics, LIPIcs, vol. 114, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 10th International Conference on Geographic Information Science, GIScience 2018, Melbourne, Australia, 28/08/18. https://doi.org/10.4230/LIPIcs.GIScience.2018.60

Abstract data types for spatio-temporal remote sensing analysis. / Sudmanns, Martin ; Lang, Stefan ; Tiede, Dirk et al.
10th International Conference on Geographic Information Science, GIScience 2018. ed. / Amy L. Griffin; Stephan Winter; Monika Sester. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2018. (Leibniz International Proceedings in Informatics, LIPIcs; Vol. 114).

Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

TY - GEN

T1 - Abstract data types for spatio-temporal remote sensing analysis

AU - Sudmanns, Martin

AU - Lang, Stefan

AU - Tiede, Dirk

AU - Werner, Christian

AU - Augustin, Hannah

AU - Baraldi, Andrea

PY - 2018/8/1

Y1 - 2018/8/1

KW - Big earth data

KW - Data cube

KW - Semantic analysis

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U2 - 10.4230/LIPIcs.GIScience.2018.60

DO - 10.4230/LIPIcs.GIScience.2018.60

M3 - Conference contribution

AN - SCOPUS:85051317154

SN - 9783959770835

T3 - Leibniz International Proceedings in Informatics, LIPIcs

BT - 10th International Conference on Geographic Information Science, GIScience 2018

A2 - Griffin, Amy L.

A2 - Winter, Stephan

A2 - Sester, Monika

PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing

T2 - 10th International Conference on Geographic Information Science, GIScience 2018

Y2 - 28 August 2018 through 31 August 2018

ER -

Sudmanns M , Lang S , Tiede D , Werner C , Augustin H, Baraldi A. Abstract data types for spatio-temporal remote sensing analysis. In Griffin AL, Winter S, Sester M, editors, 10th International Conference on Geographic Information Science, GIScience 2018. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. 2018. (Leibniz International Proceedings in Informatics, LIPIcs). doi: 10.4230/LIPIcs.GIScience.2018.60

Abstract data types for spatio-temporal remote sensing analysis

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