Modeling leaf chlorophyll content in heterogeneous forest - Weldemariam, Elias Cherenet
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The content of this book is about the application of high-resolution multispectral satellite image(RapidEye) and INFORM radiative transfer model for modeling Leaf chlorophyll content under the heterogeneous forest of Bavarian Forest National Park, Germany. The algorithm that is used in this work is Look up table approach. The research has investigated the moderate suitability of INFORM model and RapidEye images for modeling leaf chlorophyll.

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Produktbeschreibung
The content of this book is about the application of high-resolution multispectral satellite image(RapidEye) and INFORM radiative transfer model for modeling Leaf chlorophyll content under the heterogeneous forest of Bavarian Forest National Park, Germany. The algorithm that is used in this work is Look up table approach. The research has investigated the moderate suitability of INFORM model and RapidEye images for modeling leaf chlorophyll.
Autorenporträt
Elias Cherenet è nato il 5 giugno 1984 a Boru Jawi, in Etiopia. Ha conseguito la laurea in Gestione delle risorse naturali presso l'Università di Bahir dar, Etiopia, e un master in Scienze della geoinformazione e osservazione della terra presso l'Università di Twente, Paesi Bassi. Attualmente lavora come docente di GIS &RS presso l'Università di Haramaya, Etiopia.