Suggested by: Martin Sudmanns, Dirk Tiede
From big data to smartphone apps: Examples of Earth observation queries in the field.
Short description
Integrating Earth observation data with in-situ measurements for live
analysis can be a powerful approach to enhance decision-making in agriculture,
particularly within the framework of the Common Agricultural Policy (CAP). By
enabling live queries in the field, accessing and analyzing EO data directly in
real time become possible, supporting more accurate assessments of crop
conditions, land use, and compliance with agricultural regulations.
This master thesis topic aims to explore the development of a seamless interface between EO data and in-situ measurements for agricultural applications. The objective is to create workflows that enable live queries in the field, utilizing EO datasets to provide actionable insights to stakeholders. Using a valuable tool such as Sen2Cube which is a semantically enriched data cube, the thesis will investigate how a mobile smartphone or tablet application can be used for live-interpretation of satellite imagery. The research outcomes are expected to improve the integration of EO data into agricultural monitoring systems, offering practical solutions for CAP-related assessments and supporting sustainable agricultural practices.
Suggested reading
Sudmanns, M., Augustin, H., van der Meer, L., Baraldi, A., & Tiede, D. (2021). The Austrian semantic EO data cube infrastructure. Remote Sensing, 13(23), 4807. https://www.mdpi.com/2072-4292/13/23/4807
Start
As soon as possible
Prerequisites/qualification
++ programming skills
+ Earth observation
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