Modeling L-Band Microwave Emission From Soil-Vegetation System

dc.contributor.advisorKasischke, Ericen_US
dc.contributor.authorJoseph, Alicia T.en_US
dc.contributor.departmentGeographyen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2011-07-06T05:35:03Z
dc.date.available2011-07-06T05:35:03Z
dc.date.issued2010en_US
dc.description.abstractDuring a field campaign covering the 2002 corn growing season, a dual polarized tower mounted L-band (1.4 GHz) radiometer (LRAD) provided brightness temperature (T¬B) measurements at preset intervals, incidence and azimuth angles. These radiometer measurements were supported by an extensive characterization of land surface variables including soil moisture, soil temperature, vegetation biomass, and surface roughness. During the period from May 22, 2002 to August 30, 2002 a range of vegetation water content (W) of 0.0 to 4.3 kg m-2, ten days of radiometer and ground measurements were available. Using this data set, the effects of corn vegetation on surface emissions are investigated by means of a semi-empirical radiative transfer model. Additionally, the impact of roughness on the surface emission is quantified using T¬B measurements over bare soil conditions. Subsequently, the estimated roughness parameters, ground measurements and horizontally (H)-polarized TB are employed to invert the H-polarized transmissivity (γh) for the monitored corn growing season.en_US
dc.identifier.urihttp://hdl.handle.net/1903/11442
dc.subject.pqcontrolledRemote Sensingen_US
dc.subject.pqcontrolledHydrologic Sciencesen_US
dc.subject.pqcontrolledEnvironmental Engineeringen_US
dc.subject.pquncontrolledField Campaignsen_US
dc.subject.pquncontrolledL-band Radiometryen_US
dc.subject.pquncontrolledPassive Microwaveen_US
dc.subject.pquncontrolledRemote Sensingen_US
dc.subject.pquncontrolledSoil Moistureen_US
dc.titleModeling L-Band Microwave Emission From Soil-Vegetation Systemen_US
dc.typeDissertationen_US

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