Role of Polarimetric SAR data for discrimination/biophysical parameters of crops based on canopy architecture

8 citations as recorded by crossref.

1. Discriminating between C3, C4, and Mixed C3/C4 Pasture Grasses of a Grazed Landscape Using Multi-Temporal Sentinel-1a Data R. Crabbe et al. 10.3390/rs11030253
2. A Preliminary Investigation of the Potential of Sentinel-1 Radar to Estimate Pasture Biomass in a Grazed, Native Pasture Landscape R. Crabbe et al. 10.3390/rs11070872
3. Biophysical parameter assessment of winter crops using polarimetric variables—entropy (H), anisotropy (A), and alpha (α) D. Haldar et al. 10.1007/s12517-019-4516-8
4. Estimation of mustard and wheat phenology using multi-date Shannon entropy and Radar Vegetation Index from polarimetric Sentinel- 1 D. Haldar et al. 10.1080/10106049.2021.1926554
5. Condition assessment of pearl millet/ bajra crop in different vigour zones using Radar Vegetation Index S. Selvaraj et al. 10.1007/s41324-021-00380-y
6. Radar Vegetation Index for assessing cotton crop condition using RISAT-1 data D. Haldar et al. 10.1080/10106049.2018.1516249
7. Discrimination of maize crop in a mixed Kharif crop scenario with synergism of multiparametric SAR and optical data S. Elango et al. 10.1080/10106049.2021.1920628
8. Pearl Millet Crop Biophysical Parameter Retrieval From Space Borne Polarimetric SAR Data Using Machine Learning D. Thulasiraman et al. 10.1029/2022EA002799