%C InTechWeb.org
%A S Ayoubi
%A A P Shahri
%A P M Karchegani
%A K L Sahrawat
%I InTech Open Access
%B Biomass and Remote Sensing of Biomass
%L icrisat3992
%P 181-196
%D 2011
%T Application of Artificial Neural Network (ANN) to Predict Soil Organic Matter Using Remote Sensing Data in Two Ecosystems
%X Concern over global problems induced by rising CO2 has prompted attention on the role of
forests and pastures as carbon ‘storage’ because forests and pastures store a large amount of
carbon in vegetation biomass and soil. Soil organic matter (SOM) plays a critical role in soil
quality and has the potential to cost-effectively mitigate the detrimental effects of rising
atmospheric CO2 and other greenhouse gas emissions that cause global warming and
climate change(Causarano-Medina, 2006).
SOM, an important source of plant nutrients is itself influenced by land use, soil type, parent
material, time, climate and vegetation (Loveland &Webb, 2003). Important climatic factors
influencing SOM include rainfall and temperature. Within the same isotherm, the SOM
content increases with increase in rainfall regime. For the same isohyet, the SOM content................