Articles | Volume 26, issue 5
https://doi.org/10.5194/hess-26-1223-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-1223-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Mar 2022
Research article |
| 04 Mar 2022
| 04 Mar 2022
Extrapolating continuous vegetation water content to understand sub-daily backscatter variations
Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628 CN Delft, the Netherlands
Susan C. Steele-Dunne
Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628 CN Delft, the Netherlands
Saeed Khabbazan
Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628 CN Delft, the Netherlands
Jasmeet Judge
Center for Remote Sensing, Agricultural and Biological Engineering Department, University of Florida, Gainesville, FL 32611, USA
Nick C. van de Giesen
Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628 CN Delft, the Netherlands
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Short summary
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.
This study investigates the use of hydrometeorological sensors to reconstruct variations in...
