1 / 20

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

mikaia
Download Presentation

Forest Inventory: an automated process

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  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

More Related