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Forest Cover Change and Characteristics

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Title: Forest Cover Change and Characteristics


1
Forest Cover Change and Characteristics Implementa
tion Team David L. Skole and Iwan
Gunawan Michigan State University, USA BPPT,
Indonesia
2
Implementation Science and Policy Drivers
  • Global change research
  • carbon cycle
  • biodiversity
  • LUCC
  • Framework Convention on Climate Change and the
    Kyoto Protocol
  • Forest management, inventory, and assessment at
    national and region levels
  • Function end-use of forest attributes,
    biodiversity, ecological health, etc.

3
Forest cover characteristics and changes
  • Combines global coverage at coarse resolution
    with targeted coverage at fine resolution
  • Wall-to-wall coverage of vegetated land every 5
    years
  • Sophisticated data acquisition strategy using
    coarse resolution optical (250 m - 1 km), fixed
    and pointable fine resolution optical (20-30 m),
    and microwave sensors
  • Forest cover characteristics leaf type, leaf
    longevity, per-cent canopy cover, canopy height
  • Forest cover change forest to non-forest,
    non-forest to forest, and no change.

4
Land/Forest Cover Classification Scheme
may be revised to include more non-forest
classes, continuous fields
5
Forest Change Classes
may be revised
6
End-to-end
  • It will be important to tie products to end
    users needs.
  • It will be important to tie to regional networks
    for national needs
  • it will be important to tie to international
    programs, e.g. FAO for global applications

7
  • Forest Cover Characteristics
  • (Centrally coordinated data acquisition/regionally
    executed processing and information extraction)

Preprocessing
Information Extraction
  • Coarse Resolution
  • AVHRR
  • VEGETATION
  • MODIS
  • MERIS
  • GLI
  • WiFS
  • Fine Resolution
  • TM/ETM
  • HRV/HRVIR
  • LISS
  • SAR
  • ERS
  • JERS
  • RADARSAT
  • Airborne and in-situ data

Coordinated Data Acquisition
  • Land Cover (coarse res.)
  • Water
  • Various non-forest
  • Forest
  • Forest characteristics
  • (fine and coarse res.)
  • Leaf type (broad/needle)
  • Leaf longevity (deciduous/evergreen)
  • Canopy cover
  • Canopy height
  • Flooded Forest

Five year Cycle
8
Forest Cover Changes(Centrally coordinated data
acquisition/regionally executed processing and
info. extraction)
9
Conceptual Approach
Acquisition of primary observations
Framework for development of Products
  • Space-based acq.strategy
  • Coupled in-situ strategy
  • areas, freq, etc.
  • Technical R and D
  • User requirements
  • Networks facilities
  • cal/val

Packaging of Products -- to users
  • Information systems
  • User needs
  • Data Bundling

10
Strategic Acquisition
  • Multi-tiered, with focus on areas of rapid change
  • Combination of wall-to-wall inventory with
    stratified sampling
  • Considers inter-annual variability
  • Will require significant acquisition tasking and
    gap filling, which will likely imply multi-sensor
    design

11
Example Acquisition Strategy for High Resolution
Data
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Fractional Cover Modeling (VGT4 image)
14
Fractional Cover Modeling (VGT-fc)
15
New Products for precision detection of
degradation
Logging patios
Dirt road
ETM Multispectral
ETM With sharpening
16
High resolution fractional cover assessment
50-60
80
100
60-80
Site 2 Color composite
Site 2 Fractional Cover
17
Site 2 Color composite
Site 2 Fractional Cover
18
Fractional Cover Map Product
19
ETM
IKONOS
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IKONOS
22
Validation of advanced products
ETM fc Map
IKONOS fc Map
23
Validation -- Statistical Analysis
Full Density Range
24
Fractional forest cover changes in Asia
25
Importance of Regional Networks
  • Information creation and delivery through
    regional participation will be needed
  • in-country creation of value-added products
  • calibration of satellite data
  • validation of products
  • integration of in situ data
  • Twinning between regional programs, e.g. START,
    FAO, and GOFC data partners/providers/science
    centers, e.g. NASA centers

26
Regional Network
SE Asia network gathered at GOFC meeting in Bogor
Indonesia, January 2000.
27
Landsat Data February 1999
28
1989
1996
1999



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The Web-GIS Problematique
  • GIS on the web has not been done yet! Feasture
    servers are coming!
  • Most work focuses on map display and map merge
  • Open GIS deployed the Web Mapping Testbed,
    demonstrated standards for networked map servers
    and map integrators
  • Does not create new maps using spatially enabled
    analyses
  • 400.35 is GIS !
  • Problem 1 How do we use networks to connect
    users to databases
  • Problem 2 How do we create an interoperable,
    open, networked solution to map overlay and merge
  • Problem 3 How do we create an open solution for
    map generation and spatially-enabled analyses
    on-line
  • Problem 4 How do we enable technologies which
    serve both science users and the lay public
    democratization of information.

31
Technology Developments
  • TCSTM runs in a distributed environment

Data Server MSU
Data Server JPL
TCS Map Server MSU (NT)
Data Server NASDA
Client Anywhere
Internet
Internet
Data Server SEARIN (NT)
32
TCS Client
HTML, Java, XML
Common Gateway Interface (CGI)
Unix-Sun
Unix-SGI
SDE
SDE
Oracle RDBMS
Oracle RDBMS
eroc.nasda.jp
worldforest.geo.msu.edu
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Access to Landsat 7
  • USGS-EDC Portal
  • Automated compilation of EDC browse products
  • Upper Great Lakes Region (and beyond)
  • Public access and data brokering

58
end
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