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- W2184343800 abstract "The aim of this study is to derive land cover products of Envisat MERIS with a 300-m pixel representation of pine forest Net Primary Productivity (NPP) of Taurus Mountain chain at the Eastern Mediterranean coast of Turkey. The CASA model was utilised to predict annual regional fluxes in terrestrial net primary production at variable degrees of C, depending on the monthly conditions, with terrestrial net production. Calculation of annual terrestrial NPP is based on the concept of light-use efficiency, modified by temperature, rainfall values and solar radiation scalars. In addition, percentage of tree cover, land cover map of the region, soil texture and NDVI (normalized difference vegetation index) were used to constitude this model. The approach is for estimating percent tree cover employing continuous training data over the whole range of tree cover. The training data set is derived by aggregating high-resolution tree cover using IKONOS imagery to coarse scales Landsat ETM and is used with multi-temporal metrics based on 47 Envisat MERIS images recorded between March 2003 and September 2005. A regression tree algorithm is used to predict the dependent variable of tree cover based on signatures from the multitemporal metrics. Majority of the work in the literature have been focused on global scale, however while the recent large area studies have demonstrated qualitative correspondence of relationship between ecosystem change and ecosystem function, little is known about the impacts of extrapolating quantitative relationships derived at restricted sites to very large geographic areas.This study showed that Envisat MERIS data yield greater spatial detail in the characterization of NPP at the regional scale in the Mediterranean." @default.
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- W2184343800 date "2007-01-01" @default.
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- W2184343800 title "MODELLING MEDITERRANEAN FOREST PRODUCTIVITY USING ENVISAT MERIS DATA SET" @default.
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