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Seattle City Light Right-of-Way
Vegetation Mapping
JACLYNN FALLON – KATIE BOA – JANIE BUBE
Problem Statement
 Working with Seattle City Light
 No GIS data on vegetation and habitat
conditions along the Bothell-Ross transmission lines
exists
 Critical areas consist of: wetlands, riparian areas,
and steep slopes
 Mapping vegetation patches within critical areas
 Best practices on ways to take care of critical
areas are not being adhered to
Deliverables
 A vegetation database of
dominant species
 A statistical summary of
vegetation conditions
 A clear and well-documented
methodology, which can be
used for future projects
 Maps with Vegetation Polygons
and Photos
Methodology
Our Methods can be “broken
down” into three different
categories:
Site selection methods
Field methods
Analysis methods
Site Selection Methods
 Three types of critical areas
that intersected with the
Bothell-Ross Transmission Line:
Wetlands
Riparian Areas
Steep Slopes
Data Gathering
 Data provided to us by Seattle City Light included:
Snohomish County Wetlands
National Wetland Inventory (NWI) Wetlands
Bothell-Ross Transmission Lines
Snohomish and Skagit County Riparian Areas
Maintenance data spreadsheet
 Other data included:
1/3 arcsec National Dataset DEMs
Snohomish county imagery
Vector and Raster Data
 Straightforward process for wetlands and riparian
areas
 Steep slopes derived from DEMs and converted to
polygons
 Population = Areas that intersect the transmission line
 30 sites were randomly selected for data collection
Models
 (Insert images of models here)
Preparation
 Once we selected our sites we
were ready for the field!
 Created two map books using a
strip map and data driven pages:
Road base for navigation to sites
(smaller scale)
Imagery base for field mapping
(larger scale)
Trimble unit provided by Seattle City
Light
Field Conditions
 Locating sites (maps, driving,
locked gates, and dogs)
 Thick brush and deep water
 Mapping patches using
Trimble vs. paper imagery
Modifications and Preparation for
Analysis
 Changing strategy to optimize data
collection
 Data clean-up and final
cartography
 Digitizing maintenance data
 Ready for analysis!
Presentation of Results
 36 Vegetation Polygons Created
 DOM1: Dominant Overstory Species
 DOM2: Dominant Understory Species
 Landscape: Riparian, Palustrine,
Upland, Mesic
 Structure: Emergent, Scrub Shrub,
Deciduous Forest Edge, Grazed, and
Devegetated
 Invasive status of dominant species
Vegetation Statistics
 52.78% of sites have invasive
species as dominant
 Most common invasive DOM1 is
Himalayan Blackberry
 Most common invasive DOM2 is
Reed Canary Grass
 63.9% of sites are Scrub Shrub
Management Database
 76 Maintenance Orders
 33 along Bothell-Skagit transmission
line
 22 Polygons near surveyed sties
 2011-2014
 Some annual and some single time
 27 different “work instructions”
 Manual clearing, mechanical
clearing, tree trimming, tree
removal, Riparian zone
management, etc.
Challenges in the
Management Database
 Didn’t receive the data until after field data collection
 Don’t know all the tower designations
 Non-specific work instructions
 Missing data
 Don’t know what, if any, maintenance occurred within the
designated vegetation polygons
 Mechanical clearing, tree brush, and spraying
 Four different crews worked on parts of the line
 Unable to run statistical analysis to determine effect of management
on vegetation
Management Attribute Table
 Fields:
 Line segment
 Project site number
 Work order
 Location description
 Crew assigned
 Specific work instructions
 Data completed
 Data Verified
 Verified by
 Corrective action needed
Vegetation Information
Area Type Steep Slope
DOM 1 Vine Maple
DOM 2 Sword Fern
Landscape Upland
Vegetated
Structure
Scrub Shrub
Vegetation Information
Area Type Wetland
DOM 1 Hard Hack
DOM 2 Reed Canary Grass
Landscape Palustrine
Vegetated
Structure
Scrub Shrub
Vegetation Information
Area Type Wetland (Incorrect
Data)
DOM 1 Pacific Willow
DOM 2 Rye Grass
Landscape Upland
Vegetated
Structure
Herbacious
Vegetation Information
Area Type Riparian
DOM 1 Sitka Willow
DOM 2 Reed Canary Grass
Landscape Palustrine
Vegetated
Structure
Scrub Shrub
Vegetation Information
Area Type Steep Slope
DOM 1 Himalayan
Blackberry
DOM 2 N/A
(Even spread of
variety)
Landscape Upland
Vegetated
Structure
Scrub Shrub
Vegetation Information
Area Type Riparian
DOM 1 Pacific Willow
DOM 2 Reed Canary Grass
Landscape Riparian
Vegetated
Structure
Deciduous Forest
Edge
Vegetation Information
Area Type Riparian
DOM 1 Big Leaf Maple
DOM 2 Lady Fern
Landscape Riparian
Vegetated
Structure
Deciduous Forest
Edge
Vegetation Information
Area Type Steep Slope
DOM 1 Western Hemlock
DOM 2 Bracken Fern
Landscape Upland
Vegetated
Structure
Scrub Shrub
Recommendations for the Future
and Lessons Learned
 Improvements to Methods for Project Continuation
Purpose: improve methods for full-scale study
Develop better metrics (categorical vs. interval data)
Small steep slopes vs. large steep slopes
Comparison of conditions on and off the transmission
line
Recommendations for the Future
and Lessons Learned
 Learning to use ArcGIS
 Real data, real problems, real
applications
 Learned to use tools and
processes not covered in class
 VERY familiar with ArcGIS online
help
Recommendations for the Future
and Lessons Learned
 Planning pays off
Early stages of the project were well planned…they went
smoothly!
Later stages of the project were not so well planned…there
were more issues.
Recommendations for the Future
and Lessons Learned
 No matter how much you plan, you can’t
anticipate everything
 Site access issues
 Wetland data not accurate
 Field conditions
 Time constraints
 Must be flexible, adaptable, and ready to
change your plan
Recommendations for the Future
and Lessons Learned
 Acknowledgements
A HUGE thank you to our project sponsors at Seattle
City Light, Rory Denovan and Ciaran McGee – we
couldn’t have done this project without their help.
Another big thanks to all the program instructors for
all their advice, help, and feedback.
Thanks for a great quarter and a great program!
Questions

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Seattle City Light Vegetation Mapping

  • 1. Seattle City Light Right-of-Way Vegetation Mapping JACLYNN FALLON – KATIE BOA – JANIE BUBE
  • 2. Problem Statement  Working with Seattle City Light  No GIS data on vegetation and habitat conditions along the Bothell-Ross transmission lines exists  Critical areas consist of: wetlands, riparian areas, and steep slopes  Mapping vegetation patches within critical areas  Best practices on ways to take care of critical areas are not being adhered to
  • 3.
  • 4.
  • 5. Deliverables  A vegetation database of dominant species  A statistical summary of vegetation conditions  A clear and well-documented methodology, which can be used for future projects  Maps with Vegetation Polygons and Photos
  • 6. Methodology Our Methods can be “broken down” into three different categories: Site selection methods Field methods Analysis methods
  • 7. Site Selection Methods  Three types of critical areas that intersected with the Bothell-Ross Transmission Line: Wetlands Riparian Areas Steep Slopes
  • 8. Data Gathering  Data provided to us by Seattle City Light included: Snohomish County Wetlands National Wetland Inventory (NWI) Wetlands Bothell-Ross Transmission Lines Snohomish and Skagit County Riparian Areas Maintenance data spreadsheet  Other data included: 1/3 arcsec National Dataset DEMs Snohomish county imagery
  • 9. Vector and Raster Data  Straightforward process for wetlands and riparian areas  Steep slopes derived from DEMs and converted to polygons  Population = Areas that intersect the transmission line  30 sites were randomly selected for data collection
  • 10. Models  (Insert images of models here)
  • 11. Preparation  Once we selected our sites we were ready for the field!  Created two map books using a strip map and data driven pages: Road base for navigation to sites (smaller scale) Imagery base for field mapping (larger scale) Trimble unit provided by Seattle City Light
  • 12. Field Conditions  Locating sites (maps, driving, locked gates, and dogs)  Thick brush and deep water  Mapping patches using Trimble vs. paper imagery
  • 13. Modifications and Preparation for Analysis  Changing strategy to optimize data collection  Data clean-up and final cartography  Digitizing maintenance data  Ready for analysis!
  • 14. Presentation of Results  36 Vegetation Polygons Created  DOM1: Dominant Overstory Species  DOM2: Dominant Understory Species  Landscape: Riparian, Palustrine, Upland, Mesic  Structure: Emergent, Scrub Shrub, Deciduous Forest Edge, Grazed, and Devegetated  Invasive status of dominant species
  • 15. Vegetation Statistics  52.78% of sites have invasive species as dominant  Most common invasive DOM1 is Himalayan Blackberry  Most common invasive DOM2 is Reed Canary Grass  63.9% of sites are Scrub Shrub
  • 16. Management Database  76 Maintenance Orders  33 along Bothell-Skagit transmission line  22 Polygons near surveyed sties  2011-2014  Some annual and some single time  27 different “work instructions”  Manual clearing, mechanical clearing, tree trimming, tree removal, Riparian zone management, etc.
  • 17. Challenges in the Management Database  Didn’t receive the data until after field data collection  Don’t know all the tower designations  Non-specific work instructions  Missing data  Don’t know what, if any, maintenance occurred within the designated vegetation polygons  Mechanical clearing, tree brush, and spraying  Four different crews worked on parts of the line  Unable to run statistical analysis to determine effect of management on vegetation
  • 18. Management Attribute Table  Fields:  Line segment  Project site number  Work order  Location description  Crew assigned  Specific work instructions  Data completed  Data Verified  Verified by  Corrective action needed
  • 19. Vegetation Information Area Type Steep Slope DOM 1 Vine Maple DOM 2 Sword Fern Landscape Upland Vegetated Structure Scrub Shrub
  • 20.
  • 21. Vegetation Information Area Type Wetland DOM 1 Hard Hack DOM 2 Reed Canary Grass Landscape Palustrine Vegetated Structure Scrub Shrub
  • 22. Vegetation Information Area Type Wetland (Incorrect Data) DOM 1 Pacific Willow DOM 2 Rye Grass Landscape Upland Vegetated Structure Herbacious
  • 23. Vegetation Information Area Type Riparian DOM 1 Sitka Willow DOM 2 Reed Canary Grass Landscape Palustrine Vegetated Structure Scrub Shrub
  • 24. Vegetation Information Area Type Steep Slope DOM 1 Himalayan Blackberry DOM 2 N/A (Even spread of variety) Landscape Upland Vegetated Structure Scrub Shrub
  • 25. Vegetation Information Area Type Riparian DOM 1 Pacific Willow DOM 2 Reed Canary Grass Landscape Riparian Vegetated Structure Deciduous Forest Edge
  • 26. Vegetation Information Area Type Riparian DOM 1 Big Leaf Maple DOM 2 Lady Fern Landscape Riparian Vegetated Structure Deciduous Forest Edge
  • 27. Vegetation Information Area Type Steep Slope DOM 1 Western Hemlock DOM 2 Bracken Fern Landscape Upland Vegetated Structure Scrub Shrub
  • 28. Recommendations for the Future and Lessons Learned  Improvements to Methods for Project Continuation Purpose: improve methods for full-scale study Develop better metrics (categorical vs. interval data) Small steep slopes vs. large steep slopes Comparison of conditions on and off the transmission line
  • 29. Recommendations for the Future and Lessons Learned  Learning to use ArcGIS  Real data, real problems, real applications  Learned to use tools and processes not covered in class  VERY familiar with ArcGIS online help
  • 30. Recommendations for the Future and Lessons Learned  Planning pays off Early stages of the project were well planned…they went smoothly! Later stages of the project were not so well planned…there were more issues.
  • 31. Recommendations for the Future and Lessons Learned  No matter how much you plan, you can’t anticipate everything  Site access issues  Wetland data not accurate  Field conditions  Time constraints  Must be flexible, adaptable, and ready to change your plan
  • 32. Recommendations for the Future and Lessons Learned  Acknowledgements A HUGE thank you to our project sponsors at Seattle City Light, Rory Denovan and Ciaran McGee – we couldn’t have done this project without their help. Another big thanks to all the program instructors for all their advice, help, and feedback. Thanks for a great quarter and a great program!

Editor's Notes

  1. Understanding current vegetation and habitat conditions in critical areas along the Bothell-Ross transmission line between Bothell and the Sauk River Seattle City Light is a national leader in environmental stewardship, including vegetation management along transmission lines.
  2. Whole transmission line goes from Bothell Sub Station to Ross Dam
  3. We did from Bothell sub station to Sauk River These are transmission towers 26 different sites
  4. A vegetation database of documented species to help guide future vegetation management practices/prioritize restoration projects This data can help Seattle City Light and others with the relicensing process and initiate full-scale vegetation mapping projects Vegetation and habitat data could inform Seattle City Light about impacts of vegetation management practices the Skagit River Hydroelectric Project relicensing process
  5. PLEASE REDUCE TEXT!!!
  6. Weren’t able to factor in maintenance data with site selection Only know those closest to our survey sites Proceed in a fairly logical progression, so I guessed where some started/ended     b15/35 27 separate instructions Too many variables and not enough data
  7. Cut out 7 Fields of 17, New Table has 10 Fields Worked on in Excel, once completed joined with Polygon file
  8. Map 15- May 10th This area looks like it was sprayed, has a large dead area
  9. Map 3-April 12th
  10. Map 6-April 18th
  11. Map 7-April 18th
  12. Map 8-April 18th
  13. Map 11-May 10th
  14. Map 14-May 9th NOT SURE IF THIS IS STEEP SLOPE OR RIPARIAN
  15. Map 17-May 10th
  16. Purpose of pilot project is to improve methods for full-scale study Small Steep slopes ON the transmission are less of a concern than large steep slopes NEAR the transmission line (insert images of slope creep vs. Oso Slide) Steep slopes better addressed with a landslide hazard study Side-by-side comparison of conditions on and off the transmission line, or having a control area, would help provide context of site disturbance