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    Using a Microwave Emission Model to Estimate Soil Moisture from ESTAR Observations during SGP99

    Source: Journal of Hydrometeorology:;2004:;Volume( 005 ):;issue: 001::page 49
    Author:
    Gao, Huilin
    ,
    Wood, Eric F.
    ,
    Drusch, Matthias
    ,
    Crow, Wade
    ,
    Jackson, Thomas J.
    DOI: 10.1175/1525-7541(2004)005<0049:UAMEMT>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The 1999 Southern Great Plains Hydrology Experiment (SGP99) provides comprehensive datasets for evaluating microwave remote sensing of soil moisture algorithms that involve complex physical properties of soils and vegetation. The Land Surface Microwave Emission Model (LSMEM) is presented and used to retrieve soil moisture from brightness temperatures collected by the airborne Electronically Scanned Thinned Array Radiometer (ESTAR) L-band radiometer. Soil moisture maps for the SGP99 domain are retrieved using LSMEM, surface temperatures computed using the Variable Infiltration Capacity (VIC) land surface model, standard soil datasets, and vegetation parameters estimated through remote sensing. The retrieved soil moisture is validated using field-scale and area-averaged soil moisture collected as part of the SGP99 experiment, and had a rms range for the area-averaged soil moisture of 1.8%?2.8% volumetric soil moisture.
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      Using a Microwave Emission Model to Estimate Soil Moisture from ESTAR Observations during SGP99

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4206348
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    • Journal of Hydrometeorology

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    contributor authorGao, Huilin
    contributor authorWood, Eric F.
    contributor authorDrusch, Matthias
    contributor authorCrow, Wade
    contributor authorJackson, Thomas J.
    date accessioned2017-06-09T16:17:36Z
    date available2017-06-09T16:17:36Z
    date copyright2004/02/01
    date issued2004
    identifier issn1525-755X
    identifier otherams-65154.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4206348
    description abstractThe 1999 Southern Great Plains Hydrology Experiment (SGP99) provides comprehensive datasets for evaluating microwave remote sensing of soil moisture algorithms that involve complex physical properties of soils and vegetation. The Land Surface Microwave Emission Model (LSMEM) is presented and used to retrieve soil moisture from brightness temperatures collected by the airborne Electronically Scanned Thinned Array Radiometer (ESTAR) L-band radiometer. Soil moisture maps for the SGP99 domain are retrieved using LSMEM, surface temperatures computed using the Variable Infiltration Capacity (VIC) land surface model, standard soil datasets, and vegetation parameters estimated through remote sensing. The retrieved soil moisture is validated using field-scale and area-averaged soil moisture collected as part of the SGP99 experiment, and had a rms range for the area-averaged soil moisture of 1.8%?2.8% volumetric soil moisture.
    publisherAmerican Meteorological Society
    titleUsing a Microwave Emission Model to Estimate Soil Moisture from ESTAR Observations during SGP99
    typeJournal Paper
    journal volume5
    journal issue1
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/1525-7541(2004)005<0049:UAMEMT>2.0.CO;2
    journal fristpage49
    journal lastpage63
    treeJournal of Hydrometeorology:;2004:;Volume( 005 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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