F&U-NBS-Verbund: Development and Practice Transfer of a Remote Sensing based Biodiversity-Monitoring for the Spatiotemporal Assessment of Habitat Conversion and Restoration on Former Military Training (NaTec - KRH)

Mapping of Floristic and Faunistic Habitat Characteristics, Spatiotemporal Interactions and Biodiversity Factors

Funding: Bundesministerium für Bildung und Forschung – BMBF
Projektträger: Deutsches Zentrum für Luft und Raumfahrt - DLR
Funding period: 01.02.2017 – 31.01.2023


On the former military training area, Kyritz-Ruppiner Heide, the use of different remote sensing sensors is tested in order to spatially map ecological dynamics in Pleistocene open lands of the North-European Lowlands. Recent nature conservation is thereby complemented by habitat management activities (such as mowing, grazing, tree removal) that reshape habitats according to a favorable conservation status. Remote sensing will be utilized to map induced changes is species composition and habit parameters that are required to monitor biodiversity indicators in the legal framework of protected areas (such as Natura 2000) at different scales. The project focuses on different aspect of the biosphere:

A) Spatial prediction of plant species distribution and vegetation parameters (e.g. scrub encroachment, vitality, senescence); Technique: Spectroscopy – hyperspectral
B) Habitat modeling of animal species on the basis of habitat parameters and presence/absence mapping; Technique: machine learning from spectral signatures
C) Mapping of ecological restoration potentials (e.g. undergrowth, tree species); Technique: LIDAR
D) Development of a remote sensing based biodiversity monitoring system (e.g. mapping Natura 2000 habitats, Biotope types and diversity indicators); Technique: Satellites–multispectral
E) Mapping of military ordnance debris (e.g. abandoned ammunition, metal parts); Technique: UAV - multispectral, thermal, RADAR
F) Ecological cybernetics from spatial statistics and change detection; Technique: multitemporal, -scale analyses from thematic maps

Implementation project partner from the perspective of nature conservation practice is the nature foundation Heinz Sielmann Stiftung. An autonomous heath mowing machine that is GPS controlled on the basis of remote sensing imagery will be construction in collaboration with engineers from Riemann Produktdesign. Field research and ecological knowledge is provided by vegetation ecologists from ecostrat.


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Carsten Neumann
Dr. Carsten Neumann
Remote Sensing and Geoinformatics
Building A 17, Room 01.13
14473 Potsdam
+49 331 288-1766