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dc:title "HTML Summary of #3992 \n\nApplication of Artificial Neural Network (ANN) to Predict Soil Organic Matter Using Remote Sensing Data in Two Ecosystems\n\n";
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bibo:abstract "Concern over global problems induced by rising CO2 has prompted attention on the role of\r\nforests and pastures as carbon ‘storage’ because forests and pastures store a large amount of\r\ncarbon in vegetation biomass and soil. Soil organic matter (SOM) plays a critical role in soil\r\nquality and has the potential to cost-effectively mitigate the detrimental effects of rising\r\natmospheric CO2 and other greenhouse gas emissions that cause global warming and\r\nclimate change(Causarano-Medina, 2006).\r\nSOM, an important source of plant nutrients is itself influenced by land use, soil type, parent\r\nmaterial, time, climate and vegetation (Loveland &Webb, 2003). Important climatic factors\r\ninfluencing SOM include rainfall and temperature. Within the same isotherm, the SOM\r\ncontent increases with increase in rainfall regime. For the same isohyet, the SOM content................"^^xsd:string;
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