Project meeting of STEP at the site of the company ATS - Agro Trading & Solutions in Hardegsen (Photo: DBFZ)

Strategy development

Project ID 03KB037

BM-Laserscan - Design and development of automated processing tools for the analysis and assessment of above-ground biomass based on LiDAR (light detection and ranging) data, explained by examples in Southern Germany and nationwide case studies

Biomass laserscan: Laser points on a fruit tree (Photo: HS München)

Duration

  • 01.09.2009 – 30.04.2013

Contact

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

Partner

03KB037B - Universität Hohenheim
  • Address:
  • Universität Hohenheim
    Institute for Landscape- and Plant-Ecology</link> – Department of Landscape-Ecology and Vegetation-Science
    August-von-Hartmann-Str. 3
    70599 Stuttgart
  • Contact:
  • 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

Associated partners

Cooperation partners

Subpartner

Results

The report is only available in German.

Topic

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.

Aims

  • Economic evaluation of these energy resources under consideration of logistic parameters, ecological and nature conservation technical constraints as well as various scenarios of energy costs.
  • Area wide calculation of woody biomass for the entire federal state Baden-Württemberg (first and last pulse LiDAR data); exemplary calculations for the federal states of Bavaria, North Rhine-Westphalia, Lower Saxony and Brandenburg in the context of case studies.
  • Test and development of methods for the exact derivation of biomass of open-grown trees using multispectral and hyperspectral remote sensing data.
  • Provision of GIS tools which allow the effortless preparation of databases of biomass from landscaping wood in additional federal states.
  • Assembly and comparison of harvesting and logistic parameters within the framework of optimized logistics supply chains.
  • Development and provision of a GIS based availability processor for biomass coming from landscaping wood, and a combined processor of logistic costs

Measures

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.

Focus

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)


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