Site-Assessments and -Ecology

Site-assessments evaluate the characteristics and the spatial context of a concrete spatial entity with regard to a specific function.
Functional entities in the landscape cannot be regarded as isolated individuals. They are always part of a functional neighbourhood amidst other spatial entities, all of them mutually influencing each other. Furthermore a number of biotic and abiotic, anthropogenic and natural site factors determine their specific characteristics. Geo-information systems are a powerful tool for the analysis of such functional systems. They contain all necessary information ain the form of digital geo-data and facilitate their combined analysis.
A “site” is the smallest scale level being observed by means and methods of spatial analyses like GIS and Remote Sensing. In a “site” all influences from local to global scale cumulate and determine its spatial potential, e.g. its suitability for agricultural production, as habitat for animal or plant species or even its potential for certain risks or damages. Besides the use of existing data in site assessments IfA develop and produce custom data with regard to specific subjects.
  • Comprehensive analyses of digital elevation models (DEM) with a broad spectrum of resolutions: This part of our work serves for the provision of data bases for site specific analyses or for the evaluation of stand characteristics, e.g. in forests or vegetated areas.
  • Analysis of climate, terrain and soil data for a comprehensive state wide characterisation of agricultural sites with regard to their future tolerance towards drought stress in different emission scenarios of climate change.
  • High resolution geo-data analysis for the detection of semi-natural (residual) areas in agricultural landscapes. Assessment of their potential for pollinating insects and design of measures for their development with regard to such purposes.
  • Comprehensive assessment of erosion risks with high resolution DEM and geo-data based modeling of soil loss in GIS.
  • Analysis of digital elevation models for spatially differenced assessment of the risk of cold air damages
  • Ontology based classification of indicators for habitat characteristics using multiple geo-data based parameters.

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