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GLOBE Urban Phenology Year: A preliminary report

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Title: GLOBE Urban Phenology Year: A preliminary report


1
GLOBE Urban Phenology YearA preliminary report
  • Rico Gazal, Mike White, Rob Gillies,
  • Elena Sparrow and Leslie Gordon

2
Introduction
  • Urban areas tend to have warmer temperature than
    surrounding rural areas.
  • High concentration of buildings, roads and
    artificial surfaces
  • Heat island effect
  • Studies suggested that heat island effect results
    in changing patterns of phenology

3
Objective
  • To determine the effect of the urban environment
    on the timing of leaf appearance of deciduous
    trees.

4
Networking
  • The GLOBE Urban Phenology Year (GUPY) project
    started its groundwork in September 2004
  • Enlisted 12 cities in Asia, Europe, North America
    and Africa
  • Workshops on budburst protocol

5
Thermal Satellite Images
6
Tokyo, Japan
Light/white color warmer in temperature
than dark/red color
Concentration of light/white color in the urban
area
7
Bangkok, Thailand
8
GLOBE Urban Phenology Year (GUPY) Project
9
  • GUPYs website http//www.gis.usu.edu/mikew/Urba
    n_Phenology/Urban_Phenology.v2.html

10
Participation Criteria
  • ONE city with population of at least 100,000
  • ONE NATIVE DECIDUOUS tree species
  • 10-20 GLOBE schools
  • Monitor 10 TREES PER SCHOOL

11
Mentoring Support
  • Explanation of scientific rationale for
    campaigns.
  • Assistance with species selection.
  • Assistance with site selection.
  • Suggestions for student inquiry projects related
    to urban phenology.

12
Budburst protocol
Species selection
Site Selection
Tree Identification/ labeling
Web/ Internet data entry
Materials Tools Skills
Data Worksheet
Budburst monitoring
Tree location (GPS)
13
What is budburst?
Tiny leaves emerging from inside the bud
14
Example of budburst
Dormant bud
Budburst stage
First leaf stage
Photos courtesy of Prof. Mark D. Schwartz
15
Budburst data
  • Spring 2005
  • Finland
  • Senegal
  • Thailand
  • Kyrgyzstan
  • Japan
  • Alaska
  • Spring 2006
  • Philippines
  • Jordan 2 cities
  • Thailand - Bangkok
  • Russia
  • New York

16
Methods
17
  • Download satellite images from
    http//glcfapp.umiacs.umd.edu8080/esdi/index.jsp

18
  • Determine the row/path or longitude and latitude
    of the city area

19
  • Select the type of sensor to download Enhanced
    Thematic Mapper (ETM )

20
  • Select the image to download, each number
    represents specific band or wavelength

THERMAL INFRARED BAND
1 Blue band 2 Green 3 Red 4 Near
infrared 5 Shortwave IR 7 Shortwave IR
21
Calculation ERDAS Imagine
  • Fractional cover (Fr) amount of vegetation
    cover detected from the satellite image
  • Low Fr in urban areas
  • Radiometric surface temperature temperature
    emitted by the objects on Earth
  • High temperature in urban areas
  • Impervious surface area (ISA) represents the
    land development on the landscape
  • High ISA in urban areas

22
Finland
City Jyväskylä Population 110K Species
Betula pendula
23
Jyväskylä, Finland
Satellite image
Map
24
Sites
  • A North (2)
  • B City center (6)
  • C North of lake (2)
  • D City, East side (4)
  • E South, Island sites (3)

25
ArcGIS
  • Extract fractional cover and surface radiant
    temperature values for each tree

Trees
Site A North Side
26
Results
27
Date of budburst
Legend

28
Surface temperature (oC)
Legend

29
Fractional cover
Legend

A
C
B
D
E
30
Summary
  • Sites in the urban center had higher temperature
    and lower fractional cover (Fr)
  • Urban sites had budburst 9 days earlier than
    the sites in northern part of Jyväskylä (17.5
    km)
  • Further classification of the sites is needed
    e.g. distance to lakes, calculation of impervious
    surface area

31
Acknowledgements
  • Utah State University
  • National Science Foundation (NSF)
  • National Aeronautics and Space Administration
    (NASA)
  • GLOBE country coordinators and GUPY participants

32
GUPYs website
http//www.gis.usu.edu/mikew/Urban_Phenology/Urba
n_Phenology.v2.html
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