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LESTO - a GIS toolbox for LiDAR empowered sciences

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LESTO - a GIS toolbox for LiDAR empowered sciences

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My presentation given about the work done at the University of Bolzano on LESTO, the upcoming GIS toolbox for LiDAR based sciences, currently focused on forestry analyses.

My presentation given about the work done at the University of Bolzano on LESTO, the upcoming GIS toolbox for LiDAR based sciences, currently focused on forestry analyses.

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LESTO - a GIS toolbox for LiDAR empowered sciences

  1. 1. 1 Bozen-Bolzano Free University of /21 A GIS BASED TOOLBOX FOR FORESTRY ANALYSIS COMPARISON OF METHODOLOGIES Andrea Antonello, Alessandro Andriolo, Floreancig Valentino, Franceschi Silvia, Comiti Francesco, Tonon Giustino LESTO LiDAR Empowered Sciences Toolbox Opensource 2013-09-17 IX Congresso Nazionale SISEF - Bolzano Libera Universita' di Bolzano
  2. 2. 2 Bozen-Bolzano Free University of /21 The research needs FORLIDAR, Estimation of Alpine forests structure and biomass and their potential role in increasing flood hazards by using LiDAR data Fusion Lastools Bibliographic research Field data on 15 plots Dedicated LiDAR flight
  3. 3. 3 Bozen-Bolzano Free University of /21 The research needs FORLIDAR, Estimation of Alpine forests structure and biomass and their potential role in increasing flood hazards by using LiDAR data Fusion Lastools Bibliographic research Field data on 15 plots Dedicated LiDAR flight development of dedicated tools
  4. 4. 4 Bozen-Bolzano Free University of /21 Modules overview Raster Tops extraction LocalM axim a Crow n extraction Popescu Region grow ing W atershed Pointcloud Tops extraction Localm axim a Crow n extraction Segm entation General las reading/w riting las spatialindexing norm alization filters m orphers Derived CHM extraction /DSM Axellson -adaptive tin Las to rasterinterp.(ex.IDW ) Las triangulation
  5. 5. 5 Bozen-Bolzano Free University of /21 Las data indexing Las reading/writing/indexing 6GB of data
  6. 6. 6 Bozen-Bolzano Free University of /21 Las reading/writing/indexing main spatial index on files 6GB of data use of a unique spatially indexed file per file data spatial index *.las *.las *.las Las data indexing 6GB of data
  7. 7. 7 Bozen-Bolzano Free University of /21 Las data indexing use a shapefile to access any point cloud data in a folder of las data
  8. 8. 8 Bozen-Bolzano Free University of /21 Las data indexing
  9. 9. 9 Bozen-Bolzano Free University of /21 Las data indexing h [m] count lower canopy layer higher canopy layer Vertical extraction: height distribution
  10. 10. 10 Bozen-Bolzano Free University of /21 Raster Tops/Crowns extraction - normalization of data (DSM-DTM) - inverting (watershed) - thresholding - gaussian (or similar) smoothing - production of a custom DTM (Adaptive tin) - use of morphing techniques Data preprocessing modules
  11. 11. 11 Bozen-Bolzano Free University of /21 Raster Tops/Crowns extraction Tops extraction modules - local maxima - circular or square window - fixed window or height dependent window (Popescu) - morphing and normalization
  12. 12. 12 Bozen-Bolzano Free University of /21 Raster Tops/Crowns extraction Crown extraction modules - Popescu circles (based on height) - Watershed (Soile) - Region growing
  13. 13. 13 Bozen-Bolzano Free University of /21 Pointcloud extraction Tree segmentation Single tree approach, extraction of points for each tree A B dummy C D dmin1 dmin2 #1 #2 A B dummy C D dmin1 dmin2 #1 #2 dt (r) A New Method for Segmenting Individual Trees from the Lidar Point Cloud Wenkai Li, Qinghua Guo, Marek K. Jakubowski and Maggi Kelly
  14. 14. 14 Bozen-Bolzano Free University of /21 Pointcloud extraction Tree segmentation Single tree approach, extraction of points for each tree
  15. 15. 15 Bozen-Bolzano Free University of /21 Pointcloud extraction Tree segmentation Single tree approach, extraction of points for each tree
  16. 16. 16 Bozen-Bolzano Free University of /21 What is LESTO? - Open Source - GIS aware - library dedicated to - sciences that make use of - LiDAR data LESTO LiDAR Empowered Sciences Toolbox Opensource Maintained by the team of prof. Tonon at the Faculty of Science and Technology at the Free University of Bolzano.
  17. 17. 17 Bozen-Bolzano Free University of /21 LESTO's "User Interface" LESTO LiDAR Empowered Sciences Toolbox Opensource uDig open source desktop GIS Spatial Toolbox of uDig userfriendly toolbox for processing libraries
  18. 18. 18 Bozen-Bolzano Free University of /21 Handle heavy processing Geographic scripting Leave the computer there to work for you
  19. 19. 19 Bozen-Bolzano Free University of /21 Future plans - - the first tools in the toolbox are forestry related and particularly dedicated to a single tree approach to calculate the forest structure biomass the toolbox is open to contributions on any LiDAR related (future might even bring roads or buildings extraction) - - (...depending on the results on the validations in progress...) stabilization and release of the current modules data quality analysis (i.e. which data quantity/quality is necessary to gain certain results?) future developments will bring:
  20. 20. 20 Bozen-Bolzano Free University of /21 Open and shared approach LESTO will be released under Open Source License (GPL v3) on the JGrasstools website after the first round of deep testing+fixing. The open science approach is a natural choice for our team and we think it is in general for a university department. Our thoughts reflect the "think global, fix local" approach, and even if the tools are released globally, they are meant in first place to be used by our professionals and local administration on the territory.
  21. 21. 21 Bozen-Bolzano Free University of /21 Useful links: LESTO LiDAR Empowered Sciences Toolbox Opensource http://www.jgrasstools.org http://www.udig.eu

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