Explicit inverse of soil moisture retrieval with an artificial neural network using passive microwave remote sensing data

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Explicit inverse of soil moisture retrieval with an artificial neural network using passive microwave remote sensing data

Soil moisture is an important variable that controls the partition of rainfall into infiltration and run-off. This plays an important role in the prediction of erosion, flood or drought. Passive microwave remote sensing data has great potential for providing estimates of soil moisture. This is mainl...

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Bibliographic Details
Main Authors:	Chai, S., Veenendaal, Bert, West, Geoff, Walker, J.
Format:	Conference Paper
Published:	2008
Online Access:	http://hdl.handle.net/20.500.11937/26272

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