Research


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Latest Projects

Research project (§ 26 & § 27)
Duration : 2015-03-01 - 2016-11-30

In a one-years-extension of our previous project “Robust Risk Estimation”, we focus on multivariate aspects and dynamics of extreme events so far not yet covered in this detail. In all our reference applications, i.e., in financial risks of a bank, public health (hospital length of stay and costs), and hydrology (river discharge), there are important questions where these aspects cannot be ignored but rather have to be accounted for. With thin empirical evidence available to this end, misspecification becomes a central issue in the corresponding applications. As a remedy to some extent, we propose to enhance our robust procedures applying robust likelihood techniques to adjust our procedures in a way that they can adapt to minor to moderate model misspecifications. This continues our successful work on theoretical foundation, development and application of robust procedures for risk management of complex systems in the presence of extreme events. In particular this extends the applicability of our software infrastructure in R developed in the current project with its powerful set of diagnostic tools to assess influence and outlyingness of data.
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 : 2017-09-01 - 2020-08-31

Urban growth and the increasing density in urban areas put urban green infrastructure under pressure and lead to their loss. Climate change is intensifying the so-called urban heat island effect (UHI) and has negative impacts on cities and their residents, their quality of life and health. Numerous studies have shown that urban green (and blue) infrastructure can make a decisive contribution towards reducing this heat load. The project has four main objectives: (1) A "proof of concept" of a control loop and tool set for the regulation, improvement and evaluation of green and climate-sensitive urban (district) planning - including a green and open space factor as an urbanistic index and planning tool, the GREENpass as an optimization tool for the microclimatic effects of green infrastructure on the plot and district level, the MUKLIMO_3 Stadtklimamodell as an evaluation tool for the mesoclimatic effects on urban level as well as Cosmo-CLM as a regional climate simulation model; (2) Visualization, assessment and adjustment of the climatic effects and sociocultural ecosystem services of different urban green infrastructure in the green and open space factor as well as in the different climate models and simulations; (3) Development of a procedure for the harmonization of the instruments and models as well as clarification of the interfaces of the climate models and of the opportunities for planning. (4) Testing and evaluating the tool set using two case studies to analyze the different areas of application of the tool set for green and climate-friendly urban (district) planning.

Supervised Theses and Dissertations

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