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J-F. Pekel and P. Defourny Department of Environmental Sciences and Land Use Planning - GEOMATICS UCL Université Catholique de Louvain BELGIUM Supported by the SSTC (Services fédéraux des affaires Scientifiques, Techniques et culturelles) Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Mapping of the African Great Lakes region from daily VEGETATION data
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Main challenge for VGT time series data interpretation How to use simultaneously : multispectral information temporal information full spatial resolution consistency
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Window: 4°N-14°S / 25°E-35°E Area: 2.257.920Km² Study area
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Clouds and large gaps 06 may 2000 07 080910111213 14 091516 (Blue, Red, NIR) Particularities of the study area
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Topography Topography Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Particularities of the study area
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Inversion of seasonality 6 mars 2000 (R, PIR, MIR) 3 july 2000 (R, PIR, MIR) Spatial consistency ? Particularities of the study area
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 1 st Strategy: Manual compositing Compositing
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 2 nd Strategy: Mean compositing Annual Compositing
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 2 nd Strategy: Mean compositing Feb-March-AprilJuly-August-SeptemberAnnual Compositing
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Annual mean Classification (50 classes) Mean reflectance per class Seasonal mean (Feb-March-April) Seasonal mean (July-August-September) R NIR MIR R NIR MIR Classification methodology
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Mean reflectance per class Classification (17 classes) R NIR MIR R NIR MIR Classification
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Classe 1: forêt dense humide semprevirente et semi-décidue Classe 2: forêt dense humide semi-décidue Classe 3: forêt ombrophile secondaire Labelling
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Labelling
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Landsat TM (Nir, MIR, Green) Classification result of VEGETATION data Validation: visual comparison
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Landsat TM (Nir, MIR, Green) Classification result of VEGETATION data Validation: visual comparison
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Landsat TM (Ni r, MIR, Green) Classification result of VEGETATION data Validation: visual comparison
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Landsat TM (Nir, MIR, Green) Classification result of VEGETATION data Validation: visual comparison
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Landsat TM (Nir, MIR, Green) Classification result of VEGETATION data Validation: visual comparison
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Roads Primary forest Secondary forest Validation: visual assesment
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 TREES map Classification result of VEGETATION data Validation: visual comparison
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 TREES map (2000) Classification result of VEGETATION data Validation: visual comparison Landsat TM (Nir, MIR, Green)
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Validation: visual comparison TREES map (2000) Classification result of VEGETATION data Landsat TM (Nir, MIR, Green)
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Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 18 - 22 march 2002 Automatic and operational methodology of mapping Use of all reflectance channels and not only the NDVI High local contrast between land cover types Mean compositing provides a large spatial consistency Methodology based on phenology Methodology most probably applicable to many areas and various conditions Conclusions
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