Articles | Volume 26, issue 5
https://doi.org/10.5194/hess-26-1223-2022
https://doi.org/10.5194/hess-26-1223-2022
Research article
 | 
04 Mar 2022
Research article |  | 04 Mar 2022

Extrapolating continuous vegetation water content to understand sub-daily backscatter variations

Paul C. Vermunt, Susan C. Steele-Dunne, Saeed Khabbazan, Jasmeet Judge, and Nick C. van de Giesen

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Cited articles

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Bracaglia, M., Ferrazzoli, P., and Guerriero, L.: A fully polarimetric multiple scattering model for crops, Remote Sens. Environ., 54, 170–179, https://doi.org/10.1016/0034-4257(95)00151-4, 1995. a
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Brisco, B., Brown, R. J., Koehler, J. A., Sofko, G. J., and McKibben, M. J.: The diurnal pattern of microwave backscattering by wheat, Remote Sens. Environ., 34, 37–47, https://doi.org/10.1016/0034-4257(90)90082-W, 1990. a
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This study investigates the use of hydrometeorological sensors to reconstruct variations in internal vegetation water content of corn and relates these variations to the sub-daily behaviour of polarimetric L-band backscatter. The results show significant sensitivity of backscatter to the daily cycles of vegetation water content and dew, particularly on dry days and for vertical and cross-polarizations, which demonstrates the potential for using radar for studies on vegetation water dynamics.