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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Cited
18 citations as recorded by crossref.
- Estimating crop biophysical parameters from satellite-based SAR and optical observations using self-supervised learning with geospatial foundation models M. Hashemi et al.
- Modeling SAR Observables by Combining a Crop-Growth Model With Machine Learning T. Nikaein et al.
- A Comprehensive Radiative Transfer Model for Vegetated Land Surfaces Incorporating Multiple Volume–Surface Scattering Coupling Effects T. Zhang et al.
- Spatiotemporal coverage capability of moon-based SAR for water dynamic monitoring in global vegetation tipping elements G. Chen et al.
- Exploring the Potential of Sub-daily Microwave Remote Sensing Observations for Estimating Evaporation in Forests E. Tronquo et al.
- Sub-daily stable water isotope dynamics of urban tree xylem water and ambient vapor A. Ring et al.
- Polarimetric SAR descriptor to map coexisting heterogeneous paddy phenology in the coastal delta using single-date SLC and GRD products of Sentinel-1 S. Sadhak & S. Periasamy
- Modeling of Multi-Frequency Microwave Backscatter and Emission of Land Surface by a Community Land Active Passive Microwave Radiative Transfer Modeling Platform H. Zhao et al.
- The influence of surface canopy water on L-band backscatter from corn: A study combining detailed In situ data and the Tor Vergata radiative transfer model S. Khabbazan et al.
- Decorrelation rate and daily cycle in sub-daily time series of SAR coherence amplitude A. Villarroya-Carpio et al.
- Microwave remote sensing for agricultural drought monitoring: Recent developments and challenges M. Vreugdenhil et al.
- The potential of Sentinel-1 time series for large-scale assessment of maize and wheat phenology across Germany L. Flores et al.
- Estimating Stem Water Content From Tower-Based L-Band Tomographic Radar Using a Single-Scattering Model of a Uniform Layer: A First in Situ Experiment T. Leistner et al.
- Design and Implementation of an SFCW Radar Platform for Environmental Monitoring J. Mulders et al.
- Vegetation type, landscape and climate define vegetation water content: implications for sustainable management at Southern Patagonia L. Jia et al.
- Accounting for biomass water equivalent variations in soil moisture retrievals from cosmic ray neutron sensor S. Al-Mashharawi et al.
- Towards Understanding the Influence of Vertical Water Distribution on Radar Backscatter from Vegetation Using a Multi-Layer Water Cloud Model P. Vermunt et al.
- Continuous ground monitoring of vegetation optical depth and water content with GPS signals V. Humphrey & C. Frankenberg
18 citations as recorded by crossref.
- Estimating crop biophysical parameters from satellite-based SAR and optical observations using self-supervised learning with geospatial foundation models M. Hashemi et al.
- Modeling SAR Observables by Combining a Crop-Growth Model With Machine Learning T. Nikaein et al.
- A Comprehensive Radiative Transfer Model for Vegetated Land Surfaces Incorporating Multiple Volume–Surface Scattering Coupling Effects T. Zhang et al.
- Spatiotemporal coverage capability of moon-based SAR for water dynamic monitoring in global vegetation tipping elements G. Chen et al.
- Exploring the Potential of Sub-daily Microwave Remote Sensing Observations for Estimating Evaporation in Forests E. Tronquo et al.
- Sub-daily stable water isotope dynamics of urban tree xylem water and ambient vapor A. Ring et al.
- Polarimetric SAR descriptor to map coexisting heterogeneous paddy phenology in the coastal delta using single-date SLC and GRD products of Sentinel-1 S. Sadhak & S. Periasamy
- Modeling of Multi-Frequency Microwave Backscatter and Emission of Land Surface by a Community Land Active Passive Microwave Radiative Transfer Modeling Platform H. Zhao et al.
- The influence of surface canopy water on L-band backscatter from corn: A study combining detailed In situ data and the Tor Vergata radiative transfer model S. Khabbazan et al.
- Decorrelation rate and daily cycle in sub-daily time series of SAR coherence amplitude A. Villarroya-Carpio et al.
- Microwave remote sensing for agricultural drought monitoring: Recent developments and challenges M. Vreugdenhil et al.
- The potential of Sentinel-1 time series for large-scale assessment of maize and wheat phenology across Germany L. Flores et al.
- Estimating Stem Water Content From Tower-Based L-Band Tomographic Radar Using a Single-Scattering Model of a Uniform Layer: A First in Situ Experiment T. Leistner et al.
- Design and Implementation of an SFCW Radar Platform for Environmental Monitoring J. Mulders et al.
- Vegetation type, landscape and climate define vegetation water content: implications for sustainable management at Southern Patagonia L. Jia et al.
- Accounting for biomass water equivalent variations in soil moisture retrievals from cosmic ray neutron sensor S. Al-Mashharawi et al.
- Towards Understanding the Influence of Vertical Water Distribution on Radar Backscatter from Vegetation Using a Multi-Layer Water Cloud Model P. Vermunt et al.
- Continuous ground monitoring of vegetation optical depth and water content with GPS signals V. Humphrey & C. Frankenberg
Saved (final revised paper)
Latest update: 11 May 2026
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...
