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Forest Inventory: an automated process

Forest Inventory: an automated process. Biosystems Departement M3-BIORES KULeuven Belgium. Challenges in forest inventory. Forest functionality Timber production Carbon sequestration Biomass production for bio-energy industry Biodiversity conservation

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Forest Inventory: an automated process

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  1. Forest Inventory: an automated process BiosystemsDepartement M3-BIORES KULeuven Belgium

  2. Challenges in forestinventory Forestfunctionality • Timberproduction • Carbon sequestration • Biomassproductionforbio-energyindustry • Biodiversityconservation Economic, Environmental and Socialfunctions Combining these goals into a sustainable management plan requires up-to-date and accurate informationon the state of the forest (forestinventory)

  3. 1) 2) 3) 4) 5) Challenges in forestinventory Inventorytechniques • Traditional plot inventory • Tree caliper • diameter/girth tape • (3) Biltmore stick • (4) Suunto Hypsometer • (5) Abney Level

  4. Challenges in forestinventory Inventorytechniques • Field map: improved data acquisitionwithhand-heldelectronicequipment. Partialautomatization and limitedquantitativedescription

  5. Challenges in forestinventory Inventorytechniques • Terrestrial Laser Scanning (TLS): • As a non-invasivetechnique, TLS has the potential to provide a permanent spatial and objective record of foreststructurefromwhichsystematictree measurementscanbeextracted in anautomatedfashion FARO LMS8800

  6. Max 80 m. Terrestrial laser scanning (TLS) Point and line sampling strategy Scan time ~ 8 min. Resolution ~ 40 millionmeasurements Fastredeployment

  7. High resolution TLS - Digitization of forest structure - Structure characteristics are embedded in 3D point cloud - Specialized structure algorithms are needed to extract structure information Faro LMS8800

  8. High resolution TLS - Digitization of forest structure - Structure characteristics are embedded in 3D point cloud - Specialized structure algorithms are needed to extract structure information Faro LMS8800

  9. High resolution TLS • RESEARCH PHASE • Specialized structure algorithms are needed to extract structure information: • Stem Mapping • DBH, tree height, stem volume • Taper, stem quality • CrownDimensions • Species Composition • Biomassestimation Faro LMS8800

  10. Inventory Parameters: dbh and height height Taper DBH (AdaptedfromBienert et al., 2006)

  11. Inventory Parameters: stem quality (AdaptedfromThies et al., 2004)

  12. Inventory Parameters Crowndelineation Stem mapping

  13. Inventory Parameters Species recognition & Biomassestimation

  14. Inventory Methods Reduceinventorycost up to 75% as a result of increasedmeasurement speed and automatization

  15. IWT funding • ‘Agentschap voor Innovatie door Wetenschap en Technologie’ • Agencyfrom the Flemishgoverment to bridge the gap betweenresearch sector and industry sector Research Product development Commercial application

  16. IWT funding • Different types of funding (projects – scholarships) • ‘Onderzoeksmandaat’ (OZM type 3) • Personalpost-docscholarship • Valorisation of research results to enable the start up of a commercial application • 2 yearsalaryfordevelopmentphase • No budget for hardware investment • Direct cooperationwithindustry partner obligatory

  17. IWT project objectives • Development of software package (preprocessing – structurealgorithms) to extract inventoryinformation in an accurate and automatedfashionfrom the TLS data sets. • Testing of different line- and point sampling schemesusingvirtualforestscenes and raytracingtechniques. • Investigating the calibrationpotential of TLS data foraerial data (i.e. airborne laser scanning, spectralimagery). • Design of dynamicmeasurement platform whichallowsfast and easy deployment of the laser scanner.

  18. IWT project

  19. Commercial applications • High precisionforest management (consultancy agencies, forestrycompanies, governementalinstitutions) • Support forRemotesensingcompanies (calibration of airbornesurveys of largeforested areas) • Support forrenewableenergyindustry (non-destructiveestimation of standing woodbiomassforwoodchipsindustry)

  20. IWT points of attention • Valorisation of research results • Innovativetechnologyused to built commercial application • CooperationbetweenUniversity and industryparnter • Commercial potential ? - marketstudy - Potential of creating a KUL spin off: Extra fundingneeded to developfunctional TLS module OK OK OK

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