| Session A |
Earth observation systems |
Chair: G. Schimak |
| 09:00 |
Automated processing of Sentinel-2 products for time-series analysis in grassland monitoring , |
T Hardy |
| 09:20 |
Redefining Agricultural Insurance services using Earth Observation data. The case of Beacon project. , |
M Lekakis |
| 09:40 |
Quantifying Uncertainty for Estimates Derived from Error Matrices in Land Cover Mapping Applications: The Case for a Bayesian Approach , |
J. Phillipson |
| 10:00 |
Unsupervised learning of robust representations for change detection on Sentinel-2 Earth Observation images , |
M Aubrun |
| 10:20 |
Producing mid-season nitrogen application maps for arable crops, by combining Sentinel-2 satellite images and agro-meteorological data in a decision support system for farmers , |
M Lekakis |
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| Session B |
Data infrastructures |
Chair: D. Havlik |
| 11:00 |
Investigation of common big data analytics and decision-making requirements across diverse precision agriculture and livestock farming use cases , |
S. Mouzakitis |
| 11:20 |
Using virtual research environments in agro-environmental research , |
R. Lokers |
| 11:40 |
Models in the Cloud: Exploring Next Generation Environmental Software Systems. , |
W Simm |
| 12:00 |
ELFIE - The OGC Environmental Linked Features Interoperability Experiment , |
K. Schleidt |
| 12:20 |
Design of a Web-Service for Formal Descriptions of Domain-Specific Data , |
J. Sidler |
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| Session C |
Data-driven methods in action |
Chair: K. Schleidt |
| 13:40 |
Interoperability of solutions in a Crisis Management environment showcased in Trial-Austria , |
G. Schimak |
| 14:00 |
Computational infrastructure of SoilGrids 2.0 , |
L. de Sousa |
| 14:20 |
Mathematical estimation of particulate air pollution levels by multi angle imaging , |
O. Vernik |
| 14:40 |
Interpolation of Data Measured by Field Harvesters: Deployment, Comparison and Verification , |
T. Reznik |
| 15:00 |
Defining and classifying infrastructural contestation: Towards a synergy between anthropology and data science , |
D. Dalakoglou |
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| Session D |
Food data analytics and intelligence |
Chair: S. Osinga |
| 16:00 |
Diet modelling: combining mathematical programming models with data-driven methods , |
A. Ivancic |
| 16:20 |
Dietary intake assessment: from traditional paper-pencil questionnaires to technology-based tools , |
E. Brouwer-Brolsma |
| 16:40 |
Machine learning algorithms for food intelligence: towards a method for more accurate predictions , |
I. Polychronou |
