Semantic Data Cubes Utilising Free and Open-Access EO-Data to Generate Spatially-Explicit Evidence for Environ- mental Monitoring : Applied Use-Case in Syria Based on Sentinel-2 Data

Hannah Augustin; Martin Sudmanns; Dirk Tiede; Andrea Baraldi

Semantic Data Cubes Utilising Free and Open-Access EO-Data to Generate Spatially-Explicit Evidence for Environ- mental Monitoring : Applied Use-Case in Syria Based on Sentinel-2 Data

Hannah Augustin, Martin Sudmanns, Dirk Tiede, Andrea Baraldi

Geoinformatics

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

Original language	English
Title of host publication	Dreiländertagung OVG – DGPF – SGPF Photogrammetrie - Fernerkundung - Geoinformation - 2019
Editors	Thomas P. Kersten
Place of Publication	Vienna
Pages	702-710
Number of pages	9
Publication status	Published - 2019

Fields of Science and Technology Classification 2012

105 Geosciences

Cite this

Augustin, H., Sudmanns, M., Tiede, D., & Baraldi, A. (2019). Semantic Data Cubes Utilising Free and Open-Access EO-Data to Generate Spatially-Explicit Evidence for Environ- mental Monitoring : Applied Use-Case in Syria Based on Sentinel-2 Data. In T. P. Kersten (Ed.), Dreiländertagung OVG – DGPF – SGPF Photogrammetrie - Fernerkundung - Geoinformation - 2019 (pp. 702-710).

Augustin, Hannah ; Sudmanns, Martin ; Tiede, Dirk et al. / Semantic Data Cubes Utilising Free and Open-Access EO-Data to Generate Spatially-Explicit Evidence for Environ- mental Monitoring : Applied Use-Case in Syria Based on Sentinel-2 Data. Dreiländertagung OVG – DGPF – SGPF Photogrammetrie - Fernerkundung - Geoinformation - 2019. editor / Thomas P. Kersten. Vienna, 2019. pp. 702-710

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title = "Semantic Data Cubes Utilising Free and Open-Access EO-Data to Generate Spatially-Explicit Evidence for Environ- mental Monitoring : Applied Use-Case in Syria Based on Sentinel-2 Data",

keywords = "Big EO data, data cube, remote sensing",

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Augustin, H , Sudmanns, M , Tiede, D & Baraldi, A 2019, Semantic Data Cubes Utilising Free and Open-Access EO-Data to Generate Spatially-Explicit Evidence for Environ- mental Monitoring : Applied Use-Case in Syria Based on Sentinel-2 Data. in TP Kersten (ed.), Dreiländertagung OVG – DGPF – SGPF Photogrammetrie - Fernerkundung - Geoinformation - 2019. Vienna, pp. 702-710.

Semantic Data Cubes Utilising Free and Open-Access EO-Data to Generate Spatially-Explicit Evidence for Environ- mental Monitoring : Applied Use-Case in Syria Based on Sentinel-2 Data. / Augustin, Hannah ; Sudmanns, Martin ; Tiede, Dirk et al.
Dreiländertagung OVG – DGPF – SGPF Photogrammetrie - Fernerkundung - Geoinformation - 2019. ed. / Thomas P. Kersten. Vienna, 2019. p. 702-710.

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

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T1 - Semantic Data Cubes Utilising Free and Open-Access EO-Data to Generate Spatially-Explicit Evidence for Environ- mental Monitoring : Applied Use-Case in Syria Based on Sentinel-2 Data

AU - Augustin, Hannah

AU - Sudmanns, Martin

AU - Tiede, Dirk

AU - Baraldi, Andrea

PY - 2019

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KW - data cube

KW - remote sensing

M3 - Conference contribution

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BT - Dreiländertagung OVG – DGPF – SGPF Photogrammetrie - Fernerkundung - Geoinformation - 2019

A2 - Kersten, Thomas P.

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Augustin H , Sudmanns M , Tiede D, Baraldi A. Semantic Data Cubes Utilising Free and Open-Access EO-Data to Generate Spatially-Explicit Evidence for Environ- mental Monitoring : Applied Use-Case in Syria Based on Sentinel-2 Data. In Kersten TP, editor, Dreiländertagung OVG – DGPF – SGPF Photogrammetrie - Fernerkundung - Geoinformation - 2019. Vienna. 2019. p. 702-710