Why We Chose Aerial Imagery to Manage our Trees

Transcription

1 Monica Silva The City of Vaughan, Asset Management Specialist Why We Chose Aerial Imagery to Manage our Trees

2 City of Vaughan Population: 325,000 Roads: 832km Land Area: 27,000 Ha Street Trees: ~ K 2

3 Natural Threats 2013 Ice Storm $17.8M Estimated Cost in Vaughan $10.6M in Emergency Response & Clean-up Costs - 8,171 Trees Removed & Replanted - 11,485 Trees Pruned $7.2M Future Canopy Replacement Tree inventory allows us to manage our species selection to better protect against specific risks *Figures are in

4 Natural Threats Before Emerald Ash Borer Spent $1.6M between 2013 and 2016 for tree replacements After 4

5 Tree Replacement a Strategic Priority for the City Identified as a Term of Council Priority Re-establish the urban tree canopy 2017 Capital Budget $2.5M Operating Budget $1.8M Estimated Tree Deficit = 21,600 trees* *Figure as of

6 Tree Value Benefits Air Quality Improvement Energy Savings Real Estate CO2 Reduction $500 What is the value of a mature tree? 6

7 Citizens Love their Trees! The City of Vaughan receives approximately 40,000 citizen calls per year related to forestry specific issues that s more than 100 calls a day! When will I get my tree?! What species will it be? When will my tree be pruned? I would like to report leaning tree! Tree blocking sight of view, schedule pruning! 7

8 Benefits of a Detailed Tree Inventory Public Engagement & Customer Service Accurate Reporting, Planning & Budgeting Carbon Sequestration Analysis Cap & Trade Opportunities (Credits) 8

9 How We Handle Citizen Calls (Before) 9

10 How We Handle Citizen Calls (Before) 10

11 How We Handle Citizen Calls (Before) 11

12 How We Handle Citizen Calls (Before) 12

13 How we Handle Citizen Calls (After) 13

14 How Do We Do This Better? Desired attribute data: Photo of Tree Location by Street Name Tree Species Tree Form Tree Height Crown Diameter DBH (Diameter at Breast Height) DSH Tree Health Tree Structure (CI) Removal or Rehabilitation Type Diseases/ Pathogens Endangered Species Risk Factors Gross Volume CO2 Sequestration GPS Coordinates 14

15 Data Collection Methods Attributes 22+ Time On-Ground Two Growing Seasons Accuracy* 90-95% Data Storage & Requirements low Cost ($ Per Tree)

16 Data Collection Methods On-Ground Aerial Imagery Attributes Time Two Growing Seasons One Growing Season Accuracy* 90-95% 85-95% Data Storage & Requirements low medium Cost ($ Per Tree)

17 Data Collection Methods On-Ground Aerial Imagery LIDAR Attributes (Hard to identify tree species) Time Two Growing Seasons One Growing Season One Growing Season Accuracy* 90-95% 85-95% 85-95% Data Storage & low medium high Requirements Cost ($ Per Tree)

18 Data Collection Methods On-Ground Aerial Imagery LIDAR Attributes (Hard to identify tree species) Time Two Growing Seasons One Growing Season One Growing Season Accuracy* 90-95% 85-95% 85-95% Data Storage & low medium high Requirements Cost ($ Per Tree)

19 Data Collection Aerial Imagery Attributes: Tree Species Tree Form Tree Height Photo of Tree Location by Street Name Detailed Tree Health Basic Tree Health Crown Diameter DBH (Diameter at Breast Height) Tree Age Removal or Rehabilitation Type Diseases/ Pathogens DSH CO2 Sequestration GPS Coordinates Endangered Species Risk Factors Gross Volume Tree Structure (CI) 19

20 Aerial Imagery Approach 1 Ortho Image 20

21 Aerial Imagery Approach 1 2 1,600 Ortho Image 1% On Ground Data Collection 21

22 Aerial Imagery Approach 1 2 1,600 3 Ortho Image 1% On Ground Data Collection Photogrammetrist Analyzing Data & Imagery 22

23 Aerial Imagery Approach 1 2 1, Ortho Image 1% On Ground Data Collection Photogrammetrist Analyzing Data & Imagery Algorithm Development 23

24 Aerial Imagery Approach 1 2 1,600 3 Ortho Image 1% On Ground Data Collection Photogrammetrist Analyzing Data & Imagery 4 5 Algorithm Development Data Processing & Audit 24

25 Aerial Imagery Approach 1 2 1,600 3 Ortho Image 1% On Ground Data Collection Photogrammetrist Analyzing Data & Imagery Algorithm Development Data Processing & Audit Database & Report 25

26 Aerial Imagery Distortion 26

27 3D vs. Ortho Image vs. Street View 27

28 Aerial Imagery Approach Deciduous Irregular Deciduous Circular Conifer Irregular Conifer Circular 28

29 Attribute Data 29

30 Next Steps in Forestry Management Tree health & growth forecasting Risk management Natural threats Dangerous limbs Efficient Planning & Budgeting Enhanced Scheduling City-wide canopy management Customer Service Digitized & Efficient Maintenance Practices Reporting Tools & Canopy Change Analysis Accurate Forestry Capital & Operating Budget 30

31 Tree Condition Analysis Healthy Dead Needs Attention 31

32 Future Opportunities Change Monitoring

33 Comprehensive Forestry Management 33

34 Questions? Contact Me: Monica Silva City of Vaughan, Asset Management Specialist