Jiansheng yang (3 risultati)

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  • Lingua: Inglese

    Editore: VDM Verlag Dr. Müller, 2009

    3639103653 / 9783639103656

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    Da: preigu, Osnabrück, Germaniapreigu

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    Condizione: Nuovo

    EUR 51,10

    EUR 70,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 5 disponibili

    Taschenbuch. Condizione: Neu. Estimating Land Surface Temperature From Space | A Remote Sensing Perspective | Jiansheng Yang | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639103656 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

  • Lingua: Inglese

    Editore: VDM Verlag Dr. Müller, 2009

    3639103653 / 9783639103656

    • Brossura
    • Print on Demand

    Da: moluna, Greven, Germaniamoluna

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    Condizione: Nuovo

    EUR 46,32

    EUR 48,99 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: Più di 20 disponibili

    Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yang JianshengDr. Yang received his Ph.D. in Environmental Sciences from thenUniversity of Rhode Island, M.Sc. in Natural Resources from thenUniversity of Connecticut, and B.Sc. in Physics from the ShanxinUniversity, P. R. China. He .…

  • Lingua: Inglese

    Editore: VDM Verlag Dr. Müller, 2009

    3639103653 / 9783639103656

    • Brossura
    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 64,64

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This study addresses the fundamental science questionof modeling land surface temperature (LST) bycombining the field experiment, spatialinterpolation, and satellite thermal infrared remotesensing. Landsat thermal data were applied to derivesurface emissivity and brightness temperature.Field-observed temperatures were used to developalgorithms for predicting air temperature profiles ina forest canopy. The accuracy of LST estimates forthe study site was significantly improved bycalibration using satellite-derived surfaceemissivity. The results showed that split-windowmethod can be used to estimate LST using brightnesstemperatures derived from Landsat thermal data.Twenty-four polynomial models were developed usingfield observations to simulate and predict the airtemperature profiles in a forest canopy at any hourduring a summer day. This study demonstrated that thecombination of satellite thermal remote sensing,spatial interpolation, and field empirical models iscapable of obtaining accurate LST from Landsat dataand predicting air temperature profiles in forest canopy.…