11 citations as recorded by crossref.

1. 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. 10.34133/remotesensing.0415
2. Estimating crop biophysical parameters from satellite-based SAR and optical observations using self-supervised learning with geospatial foundation models M. Hashemi et al. 10.1016/j.rse.2025.114825
3. Modeling SAR Observables by Combining a Crop-Growth Model With Machine Learning T. Nikaein et al. 10.1109/JSTARS.2023.3301124
4. Spatiotemporal coverage capability of moon-based SAR for water dynamic monitoring in global vegetation tipping elements G. Chen et al. 10.1080/17538947.2024.2334305
5. 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. 10.1016/j.srs.2024.100137
6. Decorrelation rate and daily cycle in sub-daily time series of SAR coherence amplitude A. Villarroya-Carpio et al. 10.1016/j.rse.2024.114358
7. Microwave remote sensing for agricultural drought monitoring: Recent developments and challenges M. Vreugdenhil et al. 10.3389/frwa.2022.1045451
8. Accounting for biomass water equivalent variations in soil moisture retrievals from cosmic ray neutron sensor S. Al-Mashharawi et al. 10.1016/j.agwat.2025.109493
9. 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 10.1080/01431161.2025.2530238
10. Towards Understanding the Influence of Vertical Water Distribution on Radar Backscatter from Vegetation Using a Multi-Layer Water Cloud Model P. Vermunt et al. 10.3390/rs14163867
11. Continuous ground monitoring of vegetation optical depth and water content with GPS signals V. Humphrey & C. Frankenberg 10.5194/bg-20-1789-2023