Extracting Canopies from LiDAR Data and RGBI

1,242 views
844 views

Published on

Presented by Jairo Castillo, City of Calgary
See more FME World Tour 2014 presentations at www.safe.com/recap2014

Published in: Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
1,242
On SlideShare
0
From Embeds
0
Number of Embeds
8
Actions
Shares
0
Downloads
32
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide
  • Watershed Health (metric percent of impervious surface) and Urban Forest (metric percent of tree canopy) are two of the fourteen Core Indicators for Land Use and Mobility as identified in the Municipal Development Plan (MDP) and Calgary Transportation Plan (CTP). Council objective is to reduce metric percent of impervious surface to 10-20% in 60 years. (Source: MDP&CTB 2010 Report).Council objective is to increase metric percent of tree canopy to 14-20% in 60 years.The United States Department of Agriculture (USDA), Urban Forest Study (UFORE) performed Watershed Health (impervious) and Urban Forest (tree canopy) study in 1998 and 2009 of the city of Calgary. UFORE study done in 1998 reported 32% of impervious surface and 7.2% tree canopy within the city. These metrics were used in MDP and CTP in 2010. These metrics are used as the baseline for this project.UFORE study done in 2009 reported 32% of impervious surface within the city.
  • Move them apart
  • Leaning forward20 cm pixel resolutionStereo mode: Most reliable method
  • Extracting Canopies from LiDAR Data and RGBI

    1. 1. CONNECT. TRANSFORM. AUTOMATE. Canopy Extraction Using LiDAR and RGBi Jairo Castillo Data Analyst (The City of Calgary) Camal Dharamdial Lead, Business Development & Innovation (The City of Calgary)
    2. 2. Canopy Cover - Why • The Municipal Development Plan (MDP) and Calgary Transportation Plan (CTP) approved by Council has Canopy Coverage as one of the Fourteen indicators of Watershed Health. • Council expectation is to increase metric percent of tree canopy to 14- 20% in 60 years • The best report we have is from UFORE metrics – 1998 – 7.2% of Canopy. • We need to validate this and set a baseline in 2014. 2 COPYRIGHT© 2014 The City of Calgary
    3. 3. Process Why use LiDAR and Imagery? • LiDAR maps through canopy • LiDAR is independent of sun angle • LiDAR can be collected, day or night • Our process will use is RGBi combined with LiDAR 3 COPYRIGHT© 2014 The City of Calgary
    4. 4. LiDAR Principles 4 COPYRIGHT© 2014 The City of Calgary • Range = (travel time * speed of light) / 2.0 • Range + pointing direction + GNSS + IMU XYZ
    5. 5. LiDAR Principles 5 COPYRIGHT© 2014 The City of Calgary  Outgoing laser pulse  One or more return pulses  Intensity of each return pulse Outgoing laser pulse First return Second return Third return Fourth return
    6. 6. Bookmarks • Point Cloud • First and Last Returns • RGBi • Point Cloud x RGBi • Shp polygons and Cleanup 6 COPYRIGHT© 2014 The City of Calgary
    7. 7. Point Cloud 7 COPYRIGHT© 2014 The City of Calgary
    8. 8. Point Cloud 8 COPYRIGHT© 2014 The City of Calgary
    9. 9. First & Last Returns 9 First Return Last Return COPYRIGHT© 2014 The City of Calgary
    10. 10. Last & Min Returns 10 COPYRIGHT© 2014 The City of Calgary
    11. 11. RGBi • Decompose RGBi • NDVI=(nir-red)/(nir+red) 11 COPYRIGHT© 2014 The City of Calgary
    12. 12. RGBi • NDVI x 20 12 COPYRIGHT© 2014 The City of Calgary
    13. 13. Point Cloud x RGBi • NDVI x 20 x(last-min) 13 COPYRIGHT© 2014 The City of Calgary
    14. 14. Point Cloud x RGBi • NDVI x 20 x(last-min) 14 COPYRIGHT© 2014 The City of Calgary
    15. 15. Shp and cleanup 15 COPYRIGHT© 2014 The City of Calgary
    16. 16. Shp and cleanup 16 COPYRIGHT© 2014 The City of Calgary
    17. 17. Canopies 17 COPYRIGHT© 2014 The City of Calgary
    18. 18. Workbench 18 COPYRIGHT© 2014 The City of Calgary
    19. 19. Thank You! 19 • Questions? • For more information: • Jairo jairo.castillo@calgary.ca or • Camal camal.dharamdial@calgary.ca • The City of Calgary

    ×