ESTIMATION OF COTTON AND MAIZE CROP AREA IN PERAMBALUR DISTRICT OF TAMIL NADU USING MULTI-DATE SENTINEL-1A SAR DATA

6 citations as recorded by crossref.

1. Normalizing the Local Incidence Angle in Sentinel-1 Imagery to Improve Leaf Area Index, Vegetation Height, and Crop Coefficient Estimations G. Kaplan et al.
2. Precise acreage mapping of rabi maize using multi-temporal Sentinel 1 A-Synthetic Aperture Radar (SAR) over Amaravathi River Basin, Tamil Nadu, India G. Sabharwal et al.
3. Sunflower mapping using machine learning algorithm in Google Earth Engine platform A. Kumar et al.
4. Sugarcane Crop Type Discrimination and Area Mapping at Field Scale Using Sentinel Images and Machine Learning Methods A. Nihar et al.
5. Monitoring Maize Growth and Calculating Plant Heights with Synthetic Aperture Radar (SAR) and Optical Satellite Images İ. Arslan et al.
6. Discrimination of maize crop in a mixed Kharif crop scenario with synergism of multiparametric SAR and optical data S. Elango et al.