Satellite Image Processing for the UNESCO World Heritage Speyerer Dom

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EU INCO-DEV STRAPEAT PROJECT STRATEGIES FOR
IMPLEMENTING SUSTAINABLE MANAGEMENT OF PEATLAND
IN BORNEO
The role of Remote sensing in monitoring land
cover and impacts on peatlands in Borneo
applications and limitations PD Dr. Florian
Siegert RSS - Remote Sensing Solutions GmbH
www.rssgmbh.de
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STRAPEAT the role of RSS

• The task of RSS within the team
• investigate the extent and quality of the
  peatlands in Borneo using remote sensing
  techniques
• establish an integrated GIS database which
  includes remote sensing derived information,
  ground data and current land use
• establish a GIS based planning tool to support
  sustainable use of peat lands

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STRAPEAT Achievements

• selection of study sites across Borneo
• Survey on available Landsat ETM 7 scenes and
  procurement
• Processing of Landsat TM 7 images
• GeoreferencingSpectral enhancement, radiometric
  correctionMosaiking

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STRAPEAT Achievements

• Image classification and interpretation
  (mapping scale 1100.000)
• Delineation of infrastructure in PAN images
  (15m ground resolution
• Verification in selected test sites using GPS
  Techniques (in cooperation with UNPAR, UGM,
  UNIMAS)      

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STRAPEAT study sites
300 km
courtesy JRC
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STRAPEAT study site Kuching-Sarawak
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STRAPEAT study site Kuching-Sarawak
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STRAPEAT study site Kuching-Sarawak
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STRAPEAT study site Kuching-Sarawak
25 km
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STRAPEAT study site Kuching-Sarawak
Logging in 1998/99
50 km
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STRAPEAT study site Kuching-Sarawak
Logging
50 km
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STRAPEAT study site Kuching-Sarawak
Peat swamp forest
50 km
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STRAPEAT study site Sampit-Kalimantan
50 km
350 km
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STRAPEAT study site Sampit-Kalimantan
50 km
350 km
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STRAPEAT study site Sampit-Kalimantan
50 km
350 km
50 km
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STRAPEAT future work

• Change detection analysis in two study sites
• Area of two Landsat ETM 7 scenes
• Change in land and forest cover between 1999
  2002

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STRAPEAT future work

• Establishment of a GIS project, integration of
• Satellite imagery
• Classification results
• Change detection results
• available GIS data (district boundarys, villages
  etc)
• Ground observations on biodiversity and land use
• Biophysical data (hydrology, climate)
• Peat depth measurements
• 3 D models of peat volume
• GPS measurements
• Map production scale 1100.000

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STRAPEAT future work

• Specific tasks
• Calculations (area of peat land area, change,
  carbon storage, carbon emission) (in cooperation
  with UNIHEL, UNINOT, ALTERRA)
• Analyse impacts on peat catchments (in
  cooperation with UNINOT, ALTERRA)
• Contribute to the establishment of an
  interactive GIS (in cooperation with ALTERRA,
  UNINOT, BPPT
• Training in RS, GPS and GIS

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STRAPEAT future work
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STRAPEAT future work
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Peat fires, Kalimantan, BIRD, 24 August 2002
NIR
MIR
TIR
Radiative energy release
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STRAPEAT future work
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STRAPEAT future work
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STRAPEAT future work
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STRAPEAT future work
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STRAPEAT future work
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Thank you for your attention !
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STRAPEAT Achievements

• Image classification and interpretation (mapping
  scale 1100.000) of the following classes
• Peat landDifferent types of peat swamp forest
• tall peat swamp forest
• medium peat swamp forest
• low pole peat swamp forest
• Mangrove forest
• Riverine and freshwater swamp forests
• Dry Grasslands
• WetlandsDegraded peat swamp forests
• by logging operation lt2 years
• by logging operation gt2 years
• Other
• Fire scars (old and recent)

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STRAPEAT Achievements

• Land use
• Agriculture
• Land clearance
• Plantations (Oli palm, pulp wood)
• Aquaculture (e.g. crab ponds)
• Delineation of infrastructure in PAN images (15m
  ground resolution
• Rivers, lakes
• Infrastructure
• roads, logging roads, logging railways
• irrigation canals
• villages