Hannah Augustin
Hannah Augustin
PhD Researcher in Geoinformatics, University of Salzburg
Verified email at sbg.ac.at - Homepage
Title
Cited by
Cited by
Year
Big Earth data: disruptive changes in Earth observation data management and analysis?
M Sudmanns, D Tiede, S Lang, H Bergstedt, G Trost, H Augustin, ...
International Journal of Digital Earth, 1-19, 2019
162019
A Semantic Earth Observation Data Cube for Monitoring Environmental Changes during the Syrian Conflict
H Augustin, M Sudmanns, D Tiede, A Baraldi
GI_Forum 2018, 1, 214-227, 2018
52018
Semantic Earth Observation Data Cubes
H Augustin, M Sudmanns, D Tiede, S Lang, A Baraldi
Data 4 (3), 102, 2019
42019
Sentinel-2 Semantic Data Information Cube Austria
D Tiede, M Sudmanns, H Augustin, S Lang, A Baraldi
Proceedings of the 2019 Big Data from Space (BiDS’19), Munich, Germany, 19-21, 2019
22019
Assessing global Sentinel-2 coverage dynamics and data availability for operational Earth observation (EO) applications using the EO-Compass
M Sudmanns, D Tiede, H Augustin, S Lang
International Journal of Digital Earth, 1-17, 2019
22019
Using Data Cubes and Jupyter notebooks in Docker containers to teach big Earth data
M Sudmanns, H Augustin, D Tiede, S Lang
11th International Symposium on Digital Earth, 2019
2019
An object-based indicator to describe variability in time series of remote sensing images: the LIVID approach
M Sudmanns, H Augustin, D Tiede, A Baraldi
Environment 126, 27-38, 2019
2019
The Greenland-Paradox: Time Series Analyses in the Big Earth Observation Data Era
M Sudmanns, D Tiede, H Augustin
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 Sen-tinel-2 …
H Augustin, M Sudmanns, D Tiede, A Baraldi
Dreiländertagung OVG–DGPF–SGPF Photogrammetrie-Fernerkundung-Geoinformation …, 2019
2019
Flood-prone area indication based on evidence from long Earth observation image time series
M Sudmanns, D Tiede, H Augustin, A Baraldi, L Wendt, S Lang
EGU General Assembly Conference Abstracts 20, 13419, 2018
2018
Flood-prone area indication based on semantic queries of long Earth observation image time series
M Sudmanns, D Tiede, H Augustin, A Baraldi, L Wendt, S Lang
2018
Scientific Reproducibility in Earth Observation Data Analytics
H Augustin, M Sudmanns
2018
Abstract Data Types for Spatio-Temporal Remote Sensing Analysis (Short Paper)
M Sudmanns, S Lang, D Tiede, C Werner, H Augustin, A Baraldi
LIPIcs-Leibniz International Proceedings in Informatics 114, 2018
2018
Automatic Semantic Enrichment Of Big Earth Observation Data For SpatioTemporal Querying In Image Databases
D Tiede, A Baraldi, M Sudmanns, H Augustin, C Werner, ...
37th EARSeL Symposium, 2017
2017
Sentinel-2 Dashboard for spatio-temporal analysis of global scene coverage
M Sudmanns, H Augustin, AM Cavallaro, D Tiede, S Lang
Proceedings of the 2017 Conference on Big Data from Space. BIDS, 173-176, 2017
2017
sharecropper-Erkennen von umwelt-und sozialschädlicher Herstellung von Agrarprodukten.
M Sudmanns, H Augustin, C Werner, G Schwendemann, S Zimmer, ...
AGIT Journal 3, 178-189, 2017
2017
What tools or practices do you use to make your work reproducible?
H Augustin, M Sudmanns
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Articles 1–17