Hannah Augustin

About Hannah Augustin

Hannah Augustin, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Universität Salzburg, specializes in the field of big Earth data, remote sensing, geospatial data cubes, OBIA.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Advanced Framework For Semantic Querying Of The Dynamic World Dataset

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

Estimating the temporal heterogeneity of mowing events on grassland for haymilk-production using Sentinel-2 and greenness-index

Innovative Analysis Ready Data (ARD) product and process requirements, software system design, algorithms and implementation at the midstream as necessary-but-not-sufficient …

Emerging trends in big Earth data management and analysis

Think global, cube local: An Earth Observation Data Cube’s contribution to the Digital Earth vision

Semantic querying in Earth observation data cubes

Identifying soil sealing hotspots on-demand for reporting and decision making in Austria using a Sentinel-2 based semantic EO data cube

Hannah Augustin Information

University

Position

PhD Researcher in Geoinformatics

Citations(all)

328

Citations(since 2020)

324

Cited By

81

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Hannah Augustin Skills & Research Interests

big Earth data

remote sensing

geospatial data cubes

OBIA

Top articles of Hannah Augustin

An Advanced Framework For Semantic Querying Of The Dynamic World Dataset

2023/11/7

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

2023/11/2

Estimating the temporal heterogeneity of mowing events on grassland for haymilk-production using Sentinel-2 and greenness-index

Smart Agricultural Technology

2023/8/1

Innovative Analysis Ready Data (ARD) product and process requirements, software system design, algorithms and implementation at the midstream as necessary-but-not-sufficient …

Big Earth Data

2023/7/3

Emerging trends in big Earth data management and analysis

2023/7/3

Think global, cube local: An Earth Observation Data Cube’s contribution to the Digital Earth vision

Big Earth Data

2023/7/3

Semantic querying in Earth observation data cubes

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2022/8/6

Identifying soil sealing hotspots on-demand for reporting and decision making in Austria using a Sentinel-2 based semantic EO data cube

2022

Identifying soil sealing on-demand for reporting and decision making in Austria using a Sentinel-2 based semantic EO data cube

2022

semantique: A Python package for semantic querying in Earth observation data cubes

2022

Automatisierte Identifikation von Hotspots der Bodenversiegelung basierend auf Sentinel-2-Satellitenbildzeitreihen

AGIT-Journal fur Angewandte Geoinformatik

2022

Mapping Urban Green Space Dynamics: a Semantic Earth Observation Data Cube Approach

2022

Investigating ESA Sentinel-2 products' systematic cloud cover overestimation in very high altitude areas

Remote Sensing of Environment

2021

Investigating the geographic bias in cloud cover overestimation of Sentinel-2 Level 1C and Level 2A Products

2021/5

SemantiX: a cross-sensor semantic EO data cube to open and leverage AVHRR time-series and essential climate variables with scientists and the public

2021/3/3

The Austrian Semantic EO Data Cube Infrastructure

Remote Sensing

2021/11/26

One GUI to Rule Them All: Accessing Multiple Semantic EO Data Cubes in One Graphical User Interface

GI_Forum

2021

Sen2Cube. at Sentinel-2 Semantic Data and Information Cube Austria

2020

Manual of the Sen2Cube. at software

2020

See List of Professors in Hannah Augustin University(Universität Salzburg)

Co-Authors

academic-engine