HIGH RESOLUTION CHANGE ESTIMATION OF SOIL MOISTURE AND ITS ASSIMILATION INTO A LAND SURFACE MODEL

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" HIGH RESOLUTION CHANGE ESTIMATION OF SOIL MOISTURE AND ITS ASSIMILATION INTO A LAND SURFACE MODEL "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	150135
Doc. No	:	ET21927
Main Entry	:	Ujjwal Narayan
Title Proper	:	HIGH RESOLUTION CHANGE ESTIMATION OF SOIL MOISTURE AND ITS ASSIMILATION INTO A LAND SURFACE MODEL
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Near surface soil moisture plays an important role in hydrological processesincluding infiltration, evapotranspiration and runoff. These processes depend non-linearly on soil moisture and hence sub-pixel scale soil moisture variabilitycharacterization is important for accurate modeling of water and energy fluxes at thepixel scale. Microwave remote sensing has evolved as an attractive technique for globalmonitoring of near surface soil moisture. A radiative transfer model has been tested andvalidated for soil moisture retrieval from passive microwave remote sensing data under afull range of vegetation water content conditions. It was demonstrated that soil moistureretrieval errors of approximately 0.04 g/g gravimetric soil moisture are attainable withvegetation water content as high as 5 kg/m2. Recognizing the limitation of low spatialresolution associated with passive sensors, an algorithm that uses low resolution passivemicrowave (radiometer) and high resolution active microwave (radar) data to estimatesoil moisture change at the spatial resolution of radar operation has been developed andapplied to coincident Passive and Active L and S band (PALS),..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL45121.pdf
Title and statement of responsibility and	:	HIGH RESOLUTION CHANGE ESTIMATION OF SOIL MOISTURE AND ITS ASSIMILATION INTO A LAND SURFACE MODEL [Thesis]