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Preparation of a Biomass Potential Map

Authors
Müller, Sönke (EFTAS Fernerkundung Technologietransfer GmbH)
Search for Sönke Müller in Research Programmes Information System
Steensen, Torge (Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover)
Search for Torge Steensen in Research Programmes Information System
Büscher, Olaf (EFTAS Fernerkundung Technologietransfer GmbH)
Search for Olaf Büscher in Research Programmes Information System
Jandewerth, Michael (Fraunhofer-Institut für Umwelt-, Sicherheits- und Energietechnik UMSICHT)
Search for Michael Jandewerth in Research Programmes Information System
Chapter Renewable Energy
Volume Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
Conference EnviroInfo 2014 - ICT for Energy Effieciency
Oldenburg, 2014
Year 2014
Abstract of the Article
Achieving a fossil-resources-free power supply requires an exploration of alternative, renewable
energy sources. Over the last years, biomass has become an important component of this
endeavour and its consumption is rising steadily. Common sources of biomass are agricultural
production and forestry but the production of these sources is stagnating due to limited space. To
explore new sources of biomass, for example in the field of landscape conservation, the location
and available amount of biomass must be obtained. Normally, there are no reliable data sources
that give information about the objects of interest like hedges and vegetation along streets,
railways, rivers and field margins. There is a great demand for an inventory of these biomass
sources which could be answered by applying remote sensing technology.
To generate that kind of spatial information, satellite imagery is used in combination with areawide
available GIS and elevation data. The multispectral satellite images are assumed to have a
low spatial resolution of 10-20 m and spectral bands corresponding to the Sentinel-2 spatial and
spectral configurations. For GIS data, the German Digital Landscape Model (ATKIS Base-DLM),
containing roads, field boundaries and waterways, supports the mapping allowing for deduction of
potential biomass objects located beside GIS objects. To allow a quantitative estimation of the
biomass volume, a digital surface model (DSM), produced from raw LIDAR data, is utilized.
Pages 55 - 62
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