WHEAT AREA MAPPING AND PHENOLOGY DETECTION USING SYNTHETIC APERTURE RADAR AND MULTI MULTI-SPECTRAL REMOTE SENSING OBSERVATIONS

6 citations as recorded by crossref.

1. Extracting winter wheat based on multi-feature optimization of short-time series synthetic aperture radar data with dual polarizations K. Wang et al. https://doi.org/10.1117/1.JRS.18.024514
2. Reliable Crops Classification Using Limited Number of Sentinel-2 and Sentinel-1 Images B. Hejmanowska et al. https://doi.org/10.3390/rs13163176
3. Impact of lockdown and crop stubble burning on air quality of India: a case study from wheat-growing region J. Mohite et al. https://doi.org/10.1007/s10661-021-09723-6
4. Remote Sensing-Based LULP Change and Its Effect on Ecological Quality in the Context of the Hainan Free Trade Port Plan P. Liu et al. https://doi.org/10.3390/su16135311
5. Assessing the adoption and outcomes of early-sown wheat varieties in Northwest India B. Albanna et al. https://doi.org/10.1080/14735903.2025.2603756
6. Artificial intelligence for agricultural residue burning monitoring: A systematic review P. Puangjaktha & S. Tuarob https://doi.org/10.1016/j.srs.2026.100492