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λ re [nm] = 708.4+45 (((R 664.6 +R 778.5 )/2-R 708.4 )/(R 753.4 -R 708.4 ))

The potential of the Red Edge Index derived from ENVISAT MERIS data in East Africa - First Results - Klein, D. & G. Menz. Data sets MERIS level 2 product from the 9th and the 28th of September 2003. R778.5. 28.9.03. Rre. R664.6. λre. Investigation area Central Kenya. Red Edge Position

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λ re [nm] = 708.4+45 (((R 664.6 +R 778.5 )/2-R 708.4 )/(R 753.4 -R 708.4 ))

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  1. The potential of the Red Edge Index derived from ENVISAT MERIS data in East Africa- First Results - Klein, D. & G. Menz Remote Sensing Research Group, Geography Department University of Bonn, Germany

  2. Data sets MERIS level 2 product from the 9th and the 28th of September 2003 R778.5 28.9.03 Rre R664.6 λre Investigation area Central Kenya Red Edge Position Rre [%] = (R664.6+R778.5)/2 λre [nm] = 708.4+45 (((R664.6+R778.5)/2-R708.4)/(R753.4-R708.4)) Remote Sensing Research Group, Geography Department University of Bonn, Germany

  3. Preliminary results • the main land cover patterns and cover classes can be detected using red edge position (REP) • with the REP of two different dates a classification is possible • the REP seems to follow the hydrological gradient, being lower in the more arid North and getting higher towards the more humid Southeast • Further research • Validation with real time ground truth data • Influence of topography, plant density, phenological status etc. • The relationship between the absoluteREP and a specific land us /cover class Remote Sensing Research Group, Geography Department University of Bonn, Germany

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