Municipal Tree Inventory using Low Carbon Footprint Remote Sensing Technology at the City of Vaughan. Esri Canada 2017 October 18 th, 2017
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1 Municipal Tree Inventory using Low Carbon Footprint Remote Sensing Technology at the City of Vaughan Monica Silva Asset Management Specialist Greg Czajko Systems Analyst/ Project Leader (GIS) Esri Canada 2017 October 18 th, 2017
2 Tree Replacement A Strategic Priority for the City Identified as a Term of Council Priority Re-establish the urban tree canopy Capital Budget $2.5M - Operating Budget $1.8M Estimated Tree Deficit = 21,600 trees
3 Tree Value Benefits Air Quality Improvement Energy Savings Real Estate CO2 Reduction $500 What is the value of a mature tree?
4 Benefits of a Detailed Tree Inventory Public Engagement & Customer Service Accurate Reporting, Planning & Budgeting Carbon Sequestration Analysis Cap & Trade Opportunities (Credits)
5 Attributes Required for a Detailed Inventory Desired attribute data: - Photo of Tree - Location by Street Name - Tree Species - Tree Form - Tree Height - Crown Diameter - DBH (Diameter at Breast Height) - DSH - Tree Health - Tree Structure (CI) - Removal or Rehabilitation Type - Diseases/ Pathogens - Endangered Species - Risk Factors - Gross Volume - CO2 Sequestration - GPS Coordinates
6 Data Collection Methods Attributes 22+ Time On-Ground Two Growing Seasons Accuracy* 90-95% Data Storage & Requirements Low Cost ($ Per Tree)
7 Data Collection Methods On-Ground Remote Sensing Attributes Time Two Growing Seasons One Growing Season Accuracy* 90-95% 85-95% Data Storage & Requirements Low medium Cost ($ Per Tree)
8 Data Collection Methods On-Ground Remote Sensing 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 & Requirements Low medium high Cost ($ Per Tree)
9 Data Collection Methods On-Ground Remote Sensing 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 & Requirements Low medium high Cost ($ Per Tree)
10 Attributes Collected - Tree Species - Tree Form - Tree Height - Basic Tree Health - Crown Diameter - DBH (Diameter at Breast Height) - DSH - CO2 Sequestration - GPS Coordinates - Photo of Tree - Location by Street Name - Detailed Tree Health - Tree Age - Removal or Rehabilitation - Diseases/ - Pathogens - Endangered Species - Risk Factors - Gross Volume - Tree Structure Condition
11 Remote Sensing Approach 1 Ortho Image
12 Remote Sensing Approach
13 Remote Sensing Approach
14 Remote Sensing Approach
15 Remote Sensing Approach
16 Remote Sensing Approach
17 Attribute Data
18 Methods to Display Data Deciduous Irregular Deciduous Circular Conifer Irregular Conifer Circular
19 Aerial Imagery Distortion
20 3D vs. Ortho Image vs. Street View
21 15cm Ortho 5cm Ortho 275KB 465KB er er.32 sec 1.42 sec
22 Storage 5cm 15cm Geographic Size 67,786 acres (approx. 18km x 14km) 67,786 acres (approx. 18km x 14km) Uncompressed 885 GB (9.3x) 95 GB Compressed 695 GB (9.3x) 75 GB TIFF tile image 1.57 GB (12x) 130 MB
23 Esri Mosaic Dataset (as of v10) Folder with Rasters (TIFF) Geodatabase SDE (ORACLE) Create Mosaic Dataset Tools Mosaic Dataset Mosaicked Images
24 Storage Network Desktop Flash cache Win 2008 R2 File Cluster 500GB 10GbE server connection using SMLT 1GbE connection
25 5cm Orthophotography LIVE Demo Vaughan Maps Internal corporate Geocortex site via MS Direct Access LIVE DEMO VIDEO IN CASE OF EMERGENCY BREAK GLASS
26 Tree Condition (Health) Analysis Staff are no longer required to assess the canopy in the field we now pinpoint trouble areas. Dying or Dead Tree Requires Maintenance Healthy
27 Lessons Learned What would you do differently? - Don t expect tree crown to align - Data is massive, be prepared to manipulate, manage and update data on an on going basis
28 Future Plans R&B Cormier will be providing Vaughan training and services to keep their tree and forest inventories in constant updates using PurView stereo image analysis and change detection Phase 2 Capturing Parks, Open Spaces and Woodlots
29 Future Opportunities Change Monitoring
30 2015 Esri Canada Limited. All rights reserved. Trademarks provided under license from Environmental Systems Research Institute, Inc. Other product and company names mentioned herein may be trademarks or registered trademarks of their respective owners. Errors and omissions excepted.
31
Why We Chose Aerial Imagery to Manage our Trees
Monica Silva The City of Vaughan, Asset Management Specialist Why We Chose Aerial Imagery to Manage our Trees City of Vaughan Population: 325,000 Roads: 832km Land Area: 27,000 Ha Street Trees: ~160-180K
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