BiomassMon2 – Biomass Surveying and Monitoring Phase 2 (2015)
| Team: | T. Steensen |
| Jahr: | 2014 |
| Förderung: | Projektdirektion Raumfahrt (DLR/BMWi) |
| Laufzeit: | 2014-2015 |
| Ist abgeschlossen: | ja |
| Weitere Informationen | www.biomassmon.info |
Cooperating Bodies:
EFTAS Fernerkundung Technologietransfer GmbH: www.eftas.de
and
Fraunhofer-Institut für Umwelt-, Sicherheits- und Energietechnik UMSICHT: www.umsicht.fraunhofer.de
BiomassMon2:
The principal goal of BiomassMon2 will be building upon the results of BiomassMon to create and test a remote-sensing-based surveying and monitoring system for biomasses. The technical aim in this follow-up project focuses on the development of remote sensing technologies to further quantify and qualify the biomass potential of the vegetation in the target areas based on satellite-based sensors like the Copernicus Sentinel Missions 1 and 2 as well as optical, multispectral data from national missions like RapidEye. Other data sources also include hyperspectral data from ENMAP and in-situ data. With this data range, we will determine the potential of the biomass in each target area regarding its usability as a regenerative energy source. To utilise this biomass efficiently, transportation routes and quality deteriorations have to be minimised by local processing facilities. Furthermore, an adjustment between harvest time, value and volume of the biomass is required to maintain the efficiency of the energy generation. In order to process previously unused biomass, complex logistics and management systems have to be in place. This unused biomass comprises, among others, vegetation alongside streets and on river banks due to the lack of information regarding quantity, quality and availability. Using remote sensing technology, up-to-date, detailed information will be derived for the economically feasible and ecologically compatible biomass processing in these areas. The developed methods will allow the user to derive area-specific information regarding harvest time, quality and quantity of the local biomass. Ultimately, the so-gathered information can be incorporated in GIS-based processes for transportation and utilisation on a larger scale. These models will allow the renewable usage of biomass to be depicted with high resolution in terms of sustainability.
