University of Applied Science Munich
CENERGIE - Competence Center Energieeffiziente Gebäude und Quartiere, Department of Building Services Engineering
Lothstr. 34
80335 München
Prof. Dr. Peter Krzystek – project leader
Telephone: +49 89-1265-2617
E-mail: krzystek@hm.edu
Matthias Rentsch
Telephone: +49 (0) 89-1265-2632
E-mail: rentsch@hm.edu
Prof. Dr. Klaus Schmieder – project leader
Telephone: +49 (0) 711-45923-608
E-mail: schmied@uni-hohenheim.de
Alfons Krismann
Telephone: +49 (0) 711 459 23635
E-mail: a_krismann@uni-hohenheim.de
The report is only available in German.
By means of the development of practical and automated remote sensing tools, the main focus is on the precise and nationwide detection, typing and calculation of the biomass potential coming from wood cuttings from landscaping, and from fallow land. The outcomes enable a straight calculation of the biomass inventory. In this context, application tools are developed for the automation of the essential processing steps (e.g. the generation of a grove database). Model assumptions and scenarios are combined with logistic parameters and market values, and are prepared for sample regional studies in three federal states of Germany. The development is concentrated on tools which display the availability of wood cuttings from landscaping (relating to municipal GIS databases) and carry out the calculation of logistic costs for the customers of wood from landscaping, normally concerning the locations of power stations handling wood chips.
Munich University of Applied Sciences
Scientific development of methods for the determination of biomass of open-grown trees and explorative, of fallow land. Reliable delineation of single trees based on first and last pulse data from airborne laserscanning (ALS). For this purpose, the novel 3D Normalized Cut segmentation method should be preferably used and adopted to the special conditions of open-grown trees. For the obtained 3D trees, several features like the tree position, tree height, crown diameter and crown volume (and timber volume, resp.) can be derived from the laser point clouds. In addition, the vegetation volume can be deduced. A coarse separation of deciduous and coniferous trees is possible. An increased accuracy can be expected from the inclusion of full-waveform LiDAR data by exploiting the higher point density. An improved separation of different tree species can be assumed using the supplementary information coming from multispectral and hyperspectral remote sensing data. The gained experiences should be applied for the explorative partition of fallow land by using ALS data, multispectral and (optional) hyperspectral remote sensing data.
University Hohenheim
Scientific development of methods for the determination of biomass of open-grown trees and explorative, of fallow land. Reliable delineation of single trees based on first and last pulse data from airborne laserscanning (ALS). For this purpose, the novel 3D Normalized Cut segmentation method should be preferably used and adopted to the special conditions of open-grown trees. For the obtained 3D trees, several features like the tree position, tree height, crown diameter and crown volume (and timber volume, resp.) can be derived from the laser point clouds. In addition, the vegetation volume can be deduced. A coarse separation of deciduous and coniferous trees is possible. An increased accuracy can be expected from the inclusion of full-waveform LiDAR data by exploiting the higher point density. An improved separation of different tree species can be assumed using the supplementary information coming from multispectral and hyperspectral remote sensing data. The gained experiences should be applied for the explorative partition of fallow land by using ALS data, multispectral and (optional) hyperspectral remote sensing data.
Munich University of Applied Sciences
Delineation of open-grown treesCalculation of vegetation volume and above-ground biomassPreparation of GIS tools (biomass availability, logistic costs)
University Hohenheim
Delineation of open-grown treesCalculation of vegetation volume and above-ground biomassPreparation of GIS tools (biomass availability, logistic costs)