ENVision
Recipient: Ústav výzkumu globální změny AV ČR, v. v. i.
Keywords: xxx
Annotation of project:
Remote sensing data – obtained from satellite or airborne imagery – play an essential role in many applications, especially in the timely assessment of the state of a landscape. CESNET organization provides a data warehouse (national point) of Sentinel satellite data for the Czech Republic and a visualization portal providing basic capabilities for their elementary analysis. This project aims to develop a comprehensive data-analytical solution ENVision, which will provide a modularly extensible and scalable platform for advanced analysis of such satellite data. For local refinement of global analyses or locally specific analytical methods, the platform will also provide the possibility to import locally acquired airborne or drone da-ta, which are acquired and managed by, among others, the Institute of Global Change Re-search Institute of the Czech Academy of Sciences (CzechGlobe). In addition to integrating previously developed prototypes of analytical methods that process and analyze remote sens-ing data, the project will also test the potential of machine learning and artificial intelligence techniques to refine these previously used analytical methods for assessing the state of forest ecosystems based on satellite data.