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UFORE

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UFORE – PowerPoint PPT presentation

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Title: UFORE


1
UFORE
  • The i-Tree Shell

2
What is a shell?
  • General an interaction between a computer and
    any other entity (printer, operator, etc.).
  • Windows Explorer
  • Mozilla Firefox
  • Mac Finder
  • Here a graphical user interface (GUI) that
    provides access to and exchanges data with UFORE
    components

3
UFORE Input
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Project setup
  • Project decisions
  • Q1 Study area
  • Q2 Sampling type
  • Q3 Plot number and size
  • Q4 Options
  • Q5 Stratification
  • Details in the Manual

http//www.fs.fed.us/ne/syracuse/Pubs/Downloads/gt
rne287.pdf
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Project setup
  • Q3 Plot number and size
  • Number
  • 30 low budget, high error
  • Near 35, depending on parameter
  • 100 medium budget, medium error
  • Near 20, depending on parameter
  • 200 high budget, low error
  • Near 12, depending on parameter
  • Size
  • Typically 0.1 acre circle (37.2 radius)
  • Other possibilities (? Manual)

9
Project setup
  • Q4 Options
  • Long-Term Data (Permanent plots)
  • Allow change to be measured carefully
  • Take longer cost more
  • 25-33, depending on tree density
  • Ground Cover and Shrubs
  • Local decision on importance
  • Hard to calculate function or value

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Plot generation I
  • Need plots distributed randomly inside study area
  • Three ways
  • Shell can call automatic plot generator
  • Shell can be used for manual plot input
  • Plots can be generated by another program and
    imported

13
Automatic Plot Generator
  • Extension to ArcMap 9.1
  • Allows choice of
  • Plot number
  • Sampling strategy
  • Stratification
  • Must also have Spatial Analyst extension
  • Generates random plot
  • centers in a GIS
  • Currently BUGGY!

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Manual Plot Generation
  • Traditional method
  • Map
  • Grid/dot overlay
  • Random number generator
  • Advantages
  • Cheap
  • Does not require software
  • Disadvantages
  • Slow

17
External Plot Generation
  • Various ways
  • Another GIS (e.g., ArcView 3.x)1
  • 1unsupported legacy program available
  • Randomized GPS coordinates w/in domain (? Excel,
    e.g.)
  • Municipal software packages
  • Plots and coordinates can be
  • Imported into the Shell
  • Used on the PDA

18
Plot generation output
  • Plot maps
  • Need to create
  • Master map of study area for planning
  • Individual ground maps for crew
  • Scaled
  • North oriented
  • View wide enough to locate reference points,
    narrow enough to see detail

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Data collection I
  • Means
  • Paper forms
  • Copies in Manual, instruction binder and on CD
  • One set used per plot
  • PDAs
  • Pocket PC platform (2002 or 2003 version only)
  • Much faster and more accurate, once PDAs learned
  • Can be combined (e.g., use paper on dense plots)
  • Both launched through Shell

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Data collection II
  • Plot data
  • Reference points
  • Utility pole
  • Hydrant
  • Etc.
  • Vegetation
  • tree cover
  • (im)permeable
  • shrub
  • plantable
  • Land use

26
Data collection II
  • Optional data
  • Ground cover types, amounts
  • Building, turf, bare soil, cement, etc.
  • Shrub types, amounts
  • No regression formulae
  • Describing volumes
  • Must account for missing leaves

27
Data Collection II
  • Tree data
  • NOTE Tree any woody vegetation, except vine,
  • with a DBH 1 inch
  • If permanent plots dist./dir. to tree
  • Species, DBH
  • Height
  • Crown depth and width
  • Crown parameters (dieback, etc.)
  • Location around buildings
  • Builds off regression formulae on DBH
  • See UFORE Tree Fields handout

28
Data Collection II
  • Most data fields clear to urban foresters
  • Exceptions
  • Canopy Missing
  • Crown Light Exposure
  • Modifications of FIA (Forest Inventory and
    Analysis) fields

29
http//www.michiganash.org/publications/AshMonitor
ingProtocolHandbook.pdf
30
Data collection II
  • Details on field data in Manual
  • PDF can be searched for field code on desktop
  • Can cut codes from Word document, load on to PDA
    as a file, search in field
  • Paper form and PDA both coordinate with Manual
  • Field problems not in Manual i-Tree support
    (www.itreetools.org)

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Mickey Merritt, Texas Forest Service, in some
yucky UFORE plot
33
Outside Exercise
  • Equipment
  • Plot map
  • PDAs
  • Paper forms
  • Biltmore sticks or D-Tapes
  • UFORE Tree Fields
  • Attitude!

34
UFORE
  • The i-Tree Shell

35
UFORE Output
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AutoTransfer I
  • Data entry
  • Paper form data
  • Enter into Shell with Data Entry application
  • PDA data
  • Upload through hot sync to local machine
  • Both end up in i-Tree Grand Database
  • In future data processing will be done on local
    machine
  • Now send to Syracuse FS unit

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AutoTransfer II
  • Field data up
  • Sent through the shell
  • Shell launches embedded FTP client
  • Shell automatically uploads field data
  • UFORE engine in FS Syracuse calculates
  • Results down
  • Notification from Syracuse FS to client
  • Retrieved through Shell
  • Downloaded automatically
  • Imported into Shell

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Analysis I
  • Basic
  • Fundamental analyses, e.g.
  • Species, DBH class distributions
  • Total pollution removal
  • Net annual C storage/sequestration by DBH class

42
Analysis III
  • Analysis (shell)
  • Shell shows 12 most useful analyses
  • Automatically executed
  • Viewing options available
  • Advanced analyses at users command
  • Dialogue box allows factor by factor analysis
  • Choice of format (pie, bar, etc.)

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Analysis II
  • Advanced
  • UFORE code capable of complex analyses
  • E.g.
  • Carbon sequestration by DBH class by Land Use
  • Pollution removal by condition by DBH class
  • Primarily for researchers

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Reporting I
  • Former detailed
  • E.g., Brooklyn (2002)
  • Online http//purl.access.gpo.gov/GPO/LPS64575
  • Conceived as a technical scientific report
  • 68pp of tables
  • Very time-consuming work

47
Reporting II
  • Current enhanced
  • Texas FS report
  • Pete Smith et al
  • Good design
  • Good web sense
  • http//www.houstonregionalforest.org/Report/

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Reporting III
  • Report Writer
  • Will be built into shell
  • Simple style
  • Embedded codes pull data from DB of results
  • In development

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UFORE at work I
  • Large number of analyses already conducted
  • Atlanta, GA Baltimore, MD Beijing, China
    Boston, MA Brooklyn, NY Calgary, Alberta
    Freehold, NJ Fuenlabrada, Spain
    Greenville-Spartanburg, SC Houston, TX Hefei,
    China Jersey City, NJ Kent, OH Minneapolis,
    MN Moorestown, NJ Morgantown, WV New York, NY
    Ningbo, China Philadelphia, PA Porto Alegre,
    Brazil (parks) San Francisco, CA San Juan, PR,
    Santiago, Chile Syracuse, NY Toronto, Canada
    Washington, DC Wilmington, DE Woodbridge, NJ.
  • Many others currently in progress

52
UFORE at work II
  • Being used to
  • Establish function and value of lands and forest
    under development pressure
  • Supply foundation for municipal management of its
    ecosystem, not just its own trees
  • Suggest optimal management strategies
  • Empower advocacy

53
UFORE at work III
  • Future is up to you
  • Wherever urban ecosystems are in question, UFORE
    can help
  • Development debates
  • Long-term maintenance objectives
  • Restoration goals
  • Great potential to help with some of the most
    important questions before us today

54
http//www.harc.edu/harc/Projects/CoolHouston/Abou
t/Documents/CoolHoustonPlan.pdf
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