Geodata Analysis & Remote Sensing

The provision and use of geographic information plays an increasingly important role in planning, administration, business and academia..

The Institute for Agroecology has acquired specialist expertise in the area of geographic data analysis and remote sensing over many years, and devises solutions in all of the mentioned fields, from local spatial analysis to the development of geodata models. In the process, the Institute is able to draw on powerful server-based data processing and storage systems, as well as extensive state-of-the-art software (ESRI, ERDAS, eCognition, databases), which is extended in various technical areas using specialised applications (e.g. SAGA GIS, R, Global Mapper). We have also carried out programming (C , VB, Python, R) to implement user-specific modules in existing GI environments in order to solve individual problems. One of our core competencies is standardising and automating time- and cost-intensive processes.
On this basis, high-resolution geographic information can be processed and modelled on various scales. Here, we focus on capturing landscapes (semi-automatic digital image analysis of aerial and satellite images), as well as on processing and analysing digital elevation models. A special key area of this work is combining different types of geographic information, and their context-related assessment.

GIS-aided analyses are carried out on a wide variety of issues on the basis of current and standardised data. Examples include site analyses on the assessment of potentials and risks, economic efficiency calculations and the geocontext-aided interpretation of remote sensing data. A number of key words from the environment of our current projects are: availability of resources of regenerative energy sources, analysis and optimisation of transport distances and distribution networks, climate impact tolerance of agricultural farmland, characteristics of forest locations and landscape analysis as the basis of terrestrial and aquatic modelling approaches, as well as capturing biotope and vegetation types.

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