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Application of Artificial Neural Network (ANN) to Predict Soil Organic Matter Using Remote Sensing Data in Two Ecosystems

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Relation http://oar.icrisat.org/3992/
http://www.intechopen.com/books/show/title/biomass-and-remote-sensing-of-biomass
 
Title Application of Artificial Neural Network (ANN) to Predict Soil Organic Matter Using Remote Sensing Data in Two Ecosystems
 
Creator Ayoubi, S
Shahri, A P
Karchegani, P M
Sahrawat, K L
 
Subject Soil Science
 
Description 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................
 
Publisher InTech Open Access
 
Date 2011
 
Type Book Section
PeerReviewed
 
Format application/pdf
 
Language en
 
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Identifier http://oar.icrisat.org/3992/1/InTech-Application_of_artificial_neural_network_ann_to_predict.pdf
Ayoubi, S and Shahri, A P and Karchegani, P M and Sahrawat, K L (2011) Application of Artificial Neural Network (ANN) to Predict Soil Organic Matter Using Remote Sensing Data in Two Ecosystems. In: Biomass and Remote Sensing of Biomass. InTech Open Access, InTechWeb.org, pp. 181-196. ISBN 978-953-307-490-0