The main goal of this bachelor thesis is to design and implement a system that can supplement the eddy-covariance measurement data. This system should help users identify and complete missing data, correct identified errors, and improve the quality and reliability of the measured eddy-covariance data set.
Initially, the student should comprehensively review the literature on eddy covariance measurement, focusing on common challenges and solutions associated with data collection and processing. Following this, the specific needs and requirements for a data augmentation system in the context of eddy covariance measurement need to be identified -- especially concerning the available systems (tools) and methods described in the literature.
The student then identifies and analyzes the requirements for the created system and designs its architecture, including the integrated tools. The implementation of the system should be user-friendly and primarily provide the best possible analysis and correction of the eddy-covariance data set. Last but not least, the developed solution should also be appropriately tested, and its deployment and use should be properly described.