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Research project (§ 26 & § 27)
Duration : 2019-01-01 - 2019-12-31

Building and vertical greening are increasingly appreciated in contemporary urban planning. After installation of green facades or roofs, control and maintenance measures are necessary. At the moment, this requires a relatively complex, manual workflow. The project proposal DRoB aims to explore technologies of UAV (unmanned aerial vehicles ) -borne remote sensing and robotics to evaluate their applicability in the area of maintenance measures for green façades. The objective of this project is to identify suitable sensors (e.g. multi-spectral, thermal) for vegetation monitoring, which can be carried by unmanned aerial vehicles (UAV, drones). The spectral reflective characteristics of typical plants used for green walls will be assessed with various remote sensing devices. At the same time, stress situations (e.g. drought) will be simulated to assess changes in reflection and emission. In the next step, a UAV will be equipped with the particular sensors to test their applicability for vegetation monitoring of green facades. The UAV-flights will be based on the experiences in the areas of agriculture and forestry and especially adapted to the particular difficulties of green façades (view of the vegetation, the orientation of the façade, …). DRoB aspires to use very small UAVs due to the demanding legal situation of UAV flights in populated areas. Additionally, the technical pre-requisites for the development of robots for maintenance measurements of green façades will be evaluated. The aim is a conceptual design of a rail-guided mowing/cutting robot, which can be used for maintenance works on green façades. The opportunities of a UAV based monitoring system and a robotic-based maintenance system will be analyzed in close coordination with their market potential. The final synthesis of the technical possibilities and the economic conditions will be the basis for a long-term realization of an efficient maintenance and control system for green walls and a subsequent integration of the BIM (building information modeling).
Research project (§ 26 & § 27)
Duration : 2018-06-01 - 2019-11-30

The Project develops an Austrian Data Cube (ADC) for optimum storage, Administration, Analyse and Management of Earth Observation (EO) data from Sentinel-1 (microwaves) and Sentinel-2 (optical) in an homogenous projection. This concerns both, the spatial projection as well as the temporal Resolution. For the first time, the Project adresses the Integration of optical and microwave data. This Permits users from science, Administration as well as Commercial users to run analyses in a seamless way. The possible applications are numerous and encompass drought Monitoring, Monitoring of soil moisture, mapping of land use and land cover etc.
Research project (§ 26 & § 27)
Duration : 2018-05-01 - 2021-10-31

The objective of LANDSUPPORT is the construction of a smart geoSpatial Decision Support System (S-DSS), providing a powerful set of decision supporting tools – that will be open and freely accessible through the web – devoted to (i) support sustainable agriculture/forestry, (ii) evaluate their interaction and trade-off with other land uses, including spatial planning and (iii) support the achievement of selected CAP and 2030 SDG’s land policies of both EU and UN agenda (SDG 2,3,13,15), with special emphasis to the key SDG15.3, “achieving a land degradation-neutral world” (LDN) and climate change (CC) mitigation goals. By doing that, LANDSUPPORT will reconcile grand agriculture/environmental sustainability policy ambitions with operational reality addressing the often overlooked support for planning/management actions at the very local scale.

Supervised Theses and Dissertations