Research


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Research project (§ 26 & § 27)
Duration : 2017-10-01 - 2020-12-31

Establishing and safeguarding wildlife corridors between Austria and Czech Republic especially Mostviertel, Waldviertel, Weinviertel and the regions of South Bohemia, Vysocina. The delinaetion of the wildlife corridors is based on a GIS modelling. With the help of this corridors Natura 2000 are also connected. This Project also is also supporting and improving the cross - border communication between Austria and Czech Republic and therefore improves the Quality of ecosystem Management.
Research project (§ 26 & § 27)
Duration : 2017-02-01 - 2018-07-31

Combined analysis of Proba-V 100m and MODIS NDVI products for near-real-time detection of “disturbances” in natural vegetation and forests across Europe In the last years, a strong interest has been devoted to the development of robust methodologies for multi-temporal information extraction and analysis (Bovolo & Bruzzone, 2015). The main reasons are: i) the increased number of satellites with higher revisit period that allow the acquisition of frequent images, ii) the new policy for data distribution of archive data that makes a retrospective data analysis on large scale possible, and iii) new policies for the (free and open) distribution of satellite data
Research project (§ 26 & § 27)
Duration : 2016-05-01 - 2018-04-30

The HQ-S2 project will generate advanced pre-processing algorithms for Sentinel-2 (S-2) data and produce long time series of high quality (HQ) images corrected of cloud effects and atmospheric noise built from combined Landsat-8 and available, current, S-2 scenes. The resulting multi-temporal optical data set is an essential base product for advanced applications, which will be tested in three specific use cases in the domains of agriculture, forestry and urban areas. The project results are the first step towards a novel high quality user-oriented S-2 service potentially provided in the future via the EODC framework. As a prerequisite, the quality and accuracy of the ESA standard Sentinel-2 (S-2) L1C products in terms of geometric and radiometric calibration and correction will be investigated with a specific focus on areas with high topographic variations. Near-real-time (NRT) filtering will be applied to a image time series composed from S-2 and Landsat-8 data in order to fill observational gaps between cloud-free imagery and to remove artefacts due to (undetected) clouds and poor atmospheric conditions. HQ-S2 will take methods of data pre-processing implemented in the ESA S-2 toolbox and will further develop and extend these to meet the needs of the use cases and integrate and test these within the EODC Earth Observation data processing framework.

Supervised Theses and Dissertations