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		<isbn>0780301382</isbn>
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		<citationkey>SoaresShiVanzEngm:1992:EsBaSo</citationkey>
		<title>Estimation of bare soil evaporation using multifrequency airborne SAR</title>
		<year>1992</year>
		<secondarydate>19950809</secondarydate>
		<secondarytype>PRE CI</secondarytype>
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		<size>351 KiB</size>
		<author>Soares, Joao Vianei,</author>
		<author>Shi, Jiancheng,</author>
		<author>Vanzyl, Jakob,</author>
		<author>Engman, E. T,</author>
		<group>DSR-INPE-MCT-BR</group>
		<affiliation></affiliation>
		<affiliation>Jet Propulsion Laboratory, 4800 Oak Grove Drive, Pasadena, CA, United States</affiliation>
		<affiliation>Goddard Space Flight Center, Code 974, Greenbelt, MD, United States</affiliation>
		<editor>Williamson, R.,</editor>
		<editor>Stein, T.,</editor>
		<conferencename>International Geoscience and Remote Sensing Symposium, (IGARSS'92).</conferencename>
		<conferencelocation>Houston, USA</conferencelocation>
		<date>26-29 May 1992</date>
		<publisher>IEEE</publisher>
		<pages>1747-1749</pages>
		<booktitle>Proceedings</booktitle>
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		<contenttype>External Contribution</contenttype>
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		<keywords>Atmospheric temperature, Digital storage, Evaporation, Geology, Moisture, Parameter estimation, Polarization, Radar, Radar imaging, Radar measurement, Remote sensing, Soil moisture, Soils, Space optics, Space-based radar, Surface roughness, Synthetic aperture radar, Agricultural areas, Energy flux model, Ground measurements, Infrared imagery, Polarization ratios, Spatial applications, Surface backscattering, Surface temperatures, Soil surveys.</keywords>
		<abstract>The optimal radar parameters to estimate soil moisture indicated by past research are C-band, H polarization at steep incidence angles (10 to 20 degrees). Although these parameters minimize effects of roughness and vegetation, the spatial application of space and airborne radar are limited to the near range of the swath. Aiming at the development of algorithms to broaden the range of useful data, an experiment was conducted with NASA/JPL airborne radar polarimeter (P, L and C Bands)in September 1989 in agricultural area near Fresno, California. There were two flights six days apart; ground measurements of soil moisture and surface roughness were taken on both flight dates in eight different fields. Based on first order surface backscattering models, a physically based algorithm for retrieval of soil moisture and surface roughness has been developed. It has been shown that the co-polarization ratio is sensitive to soil moisture but not to soil roughness at high incidence angles (38 to 60 degrees). The derived soil moisture was used to drive a two-layer heat and energy flux model in order to estimate evaporation from bare soils. The estimated values of evaporation for a two-week period are realistic. As the model incorporates time variations in both soil moisture and surface temperature, it could be used in conjunction with values of those parameters periodically estimated using SAR and infrared imagery, providing estimates of bare soil evaporation.</abstract>
		<area>SRE</area>
		<language>en</language>
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