RICE (KHARIF) PRODUCTION ESTIMATION USING SAR DATA OF DIFFERENT SATELLITES AND YIELD MODELS: A COMPARATIVE ANALYSIS OF THE ESTIMATES GENERATED UNDER FASAL PROJECT

7 citations as recorded by crossref.

1. Crop Yield Estimation at Gram Panchayat Scale by Integrating Field, Weather and Satellite Data with Crop Simulation Models C. Milesi & M. Kukunuri https://doi.org/10.1007/s12524-021-01372-z
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3. Evaluation of different approaches to the fusion of Sentinel -1 SAR data and Resourcesat 2 LISS III optical data for use in crop classification . Neetu & S. Ray https://doi.org/10.1080/2150704X.2020.1832278
4. Assessment of rice crop biophysical parameters using Sentinel-1 C-band SAR data A. Kushwaha et al. https://doi.org/10.1016/j.asr.2022.02.021
5. Time series analysis of Sentinel 1 A SAR data to retrieve annual rice area maps and long-term dynamics of start of season P. Sellaperumal et al. https://doi.org/10.1038/s41598-025-91655-z
6. Remote Sensing Based Yield Estimation of Rice (Oryza Sativa L.) Using Gradient Boosted Regression in India P. Arumugam et al. https://doi.org/10.3390/rs13122379
7. Field-Level Crop Classification Using an Optimal Dataset of Multi-temporal Sentinel-1 and Polarimetric RADARSAT-2 SAR Data with Machine Learning Algorithms . Neetu et al. https://doi.org/10.1007/s12524-021-01436-0