Financing: Autonomous Province of Bolzano
Contact: Georg Niedrist
MONALISA is designed as a three years project which may initiate a longer (e.g 10 years) “Special Research Program” (SRA) on environmental monitoring in case of a successful review after the end of the project. MONALISA will already set the framework for a longer activity from a conceptual and technological point of view and generate the network between research institutions and companies for such a SRA. Further activities of a 10 years SRA will include more sectors (forestry, civil protection, energy, tourism, biodiversity) and the development of operational monitoring services for an area wide and cost-efficient monitoring of the environment in South Tyrol. While results in the first phase will be limited on the Province of Bolzano, future steps will include an expansion of services to the EUREGIO-Region and other regions in the Alps and in other mountain regions.
The main goal of MONALISA is the development of multi-scale monitoring approaches for key environmental parameters and environmental as well as production processes with the help of innovative monitoring technologies and non-destructive methods in the application field of agriculture. Monitoring in MONALISA follows the whole production chain of agriculture from environmental conditions to the quality of apples.
The MONALISA project structure consists of 7 workpackages. WP2’s objective is to develop and test approaches for monitoring key environmental parameters for vegetation, soil and meteorology from the plot scale to the scale of more than 1000 km² by integrating satellite based remote sensing, drone-based remote sensing, ground based remote sensing, ground sensors and modelling. This WP provides the necessary information on environmental conditions for WP3 and WP4.
Activities of the Institute for Alpine Environment are integrated within the sub-workpackages 2.2 and 2.3. The primary aim of WP2.2 is the in-situ measurement of vegetation (e.g. biomass, LAI, phyto-sociologiocal types), meteorological (e.g. temperature, precipitation, wind, radiation) and soil (e.g. soil types, physical properties, moisture, temperature) parameters. These parameters are used to validate remote sensing data and as input for hydrological and vegetation dynamics models.
Within subworkpackage 2.3 definition of an innovative framework where satellite EO imagery, in-situ measurements and modelling predictions will be exploited in a synergic way for mapping energy balance components and vegetation in mountain areas. This framework will provide reliable, accurate and high spatial-temporal resolution maps at both local and regional scale of key environmental parameters for agricultural, environmental, meteorological and hydrological applications.
Stefano Della Chiesa
Free University Bozen/Bolzano
University of Innsbruck