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Changing Horizons in Geography Education - HERODOT Network ...

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images visualise the “tree vegetation”: value “1”was assigned to the vegetation classes “palmerais”,“forêt galerie” and “forêt claire”. For the multi-spectralimages these categories correspond with theNDVI-classes NDVI4 up to and <strong>in</strong>clud<strong>in</strong>g NDVI7(all parts with NDVI-values over 0.4). On theCorona image all digitised parts were visualised.Comb<strong>in</strong><strong>in</strong>g these b<strong>in</strong>ary images results <strong>in</strong>multi-temporal colour composites. To illustratethe procedure, three images taken <strong>in</strong> the dryseason were compared (Figure 5). This wayseasonal variation should be elim<strong>in</strong>ated.The b<strong>in</strong>ary ‘vegetation’ categories, as def<strong>in</strong>edabove, on the Corona image of 1965, the SPOTscene of 1987 and the ASTER image taken <strong>in</strong>2001, are comb<strong>in</strong>ed <strong>in</strong> Figure 5. Corona is visualised<strong>in</strong> blue, SPOT <strong>in</strong> green and ASTER <strong>in</strong> red.Figure 5. Multi-temporal colour compositeInterpretation of the multi-temporal colour compositeA multi-temporal colour composite is a very useful tool to compare different images.This way seasonal as well as temporal variation can be visualised. The exampleshows how this method can be used for different studies.The colour composite <strong>in</strong> Figure 5 allows a quick visual <strong>in</strong>terpretation of the vegetationdynamics <strong>in</strong> the study area over a period of 36 years. Together with the statistics (table2), which are derived from the composite, follow<strong>in</strong>g conclusions can be drawn.The considerable amount of blue on the image, which stands for vegetation thathas disappeared s<strong>in</strong>ce 1965, is the result of the high geometric <strong>in</strong>accuracy of theCorona and of the fact that digitised vegetation categories were compared withNDVI-classified images.The cyan coloured part <strong>in</strong> the central area of the image stands for vegetation thatwas present on the image of 1965 and on the image of 1987, but not on the mostrecent ASTER image. This apparent vegetation degradation is caused by a haze onthe central part of the ASTER image (Figure 3) and is no <strong>in</strong>dication of the disappearanceof valuable vegetation.There is a considerable white part visible on the composite. This means thatvegetation has been present on all three images, s<strong>in</strong>ce white is the comb<strong>in</strong>ation ofblue, green and red.These three po<strong>in</strong>ts lead to a remarkable conclusion. The vegetation <strong>in</strong> the studyarea has not degraded <strong>in</strong> a significant way s<strong>in</strong>ce 1965, <strong>in</strong> spite of the enormouspopulation growth.Classroom applicationThis study illustrates how a useful application of us<strong>in</strong>g remote sens<strong>in</strong>g for <strong>in</strong>terpretationand analysis can be done <strong>in</strong> class. With experiments like this, students can93

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