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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.

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Presentation on theme: "J-F. Pekel and P. Defourny Department of Environmental Sciences and Land Use Planning - GEOMATICS UCL Université Catholique de Louvain BELGIUM Supported."— Presentation transcript:

1 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, march 2002 Mapping of the African Great Lakes region from daily VEGETATION data

2 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 Main challenge for VGT time series data interpretation How to use simultaneously : multispectral information temporal information full spatial resolution consistency

3 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 Window: 4°N-14°S / 25°E-35°E Area: Km² Study area

4 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 Clouds and large gaps 06 may (Blue, Red, NIR) Particularities of the study area

5 Topography Topography Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 Particularities of the study area

6 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 Inversion of seasonality 6 mars 2000 (R, PIR, MIR) 3 july 2000 (R, PIR, MIR) Spatial consistency ? Particularities of the study area

7 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march st Strategy: Manual compositing Compositing

8 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march nd Strategy: Mean compositing Annual Compositing

9 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march nd Strategy: Mean compositing Feb-March-AprilJuly-August-SeptemberAnnual Compositing

10 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 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

11 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 Mean reflectance per class Classification (17 classes) R NIR MIR R NIR MIR Classification

12 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 Classe 1: forêt dense humide semprevirente et semi-décidue Classe 2: forêt dense humide semi-décidue Classe 3: forêt ombrophile secondaire Labelling

13 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 Labelling

14 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 Landsat TM (Nir, MIR, Green) Classification result of VEGETATION data Validation: visual comparison

15 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 Landsat TM (Nir, MIR, Green) Classification result of VEGETATION data Validation: visual comparison

16 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 Landsat TM (Ni r, MIR, Green) Classification result of VEGETATION data Validation: visual comparison

17 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 Landsat TM (Nir, MIR, Green) Classification result of VEGETATION data Validation: visual comparison

18 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 Landsat TM (Nir, MIR, Green) Classification result of VEGETATION data Validation: visual comparison

19 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 Roads Primary forest Secondary forest Validation: visual assesment

20 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 TREES map Classification result of VEGETATION data Validation: visual comparison

21 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 TREES map (2000) Classification result of VEGETATION data Validation: visual comparison Landsat TM (Nir, MIR, Green)

22 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, march 2002 Validation: visual comparison TREES map (2000) Classification result of VEGETATION data Landsat TM (Nir, MIR, Green)

23 Department of Environmental Sciences and Land Use Planning - UCL GLC 2000, 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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