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. 10.3390/land10070680
2. Sunflower mapping using machine learning algorithm in Google Earth Engine platform A. Kumar et al. 10.1007/s10661-024-13369-5
3. Sugarcane Crop Type Discrimination and Area Mapping at Field Scale Using Sentinel Images and Machine Learning Methods A. Nihar et al. 10.1007/s12524-021-01444-0
4. Monitoring Maize Growth and Calculating Plant Heights with Synthetic Aperture Radar (SAR) and Optical Satellite Images İ. Arslan et al. 10.3390/agriculture12060800
5. 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
6. Using Sentinel-1 and Sentinel-2 imagery for estimating cotton crop coefficient, height, and Leaf Area Index G. Kaplan et al. 10.1016/j.agwat.2022.108056