OPERATIONAL NEAR REAL TIME RICE AREA MAPPING USING MULTI-TEMPORAL SENTINEL-1 SAR OBSERVATIONS

7 citations as recorded by crossref.

1. Automated mapping of rice fields using multi-year training sample normalization L. Liang et al.
2. Automated Near-Real-Time Mapping and Monitoring of Rice Extent, Cropping Patterns, and Growth Stages in Southeast Asia Using Sentinel-1 Time Series on a Google Earth Engine Platform . Rudiyanto et al.
3. Object-based machine learning approach for soybean mapping using temporal sentinel-1/sentinel-2 data M. Kumari et al.
4. Identification of Paddy Croplands and Its Stages Using Remote Sensors: A Systematic Review M. Fernández-Urrutia et al.
5. Mapping Paddy Cropland in Guntur District using Machine Learning and Google Earth Engine utilizing Images from Sentinel-1 and Sentinel-2 P. Nagendram et al.
6. Crop Calendar Mapping of Bangladesh Rice Paddy Field with ALOS-2 ScanSAR Data M. Islam
7. Improved Paddy Rice Classification Utilizing Sentinel-1/2 Imagery in Anhui China: Phenological Features, Algorithms, Validation and Analysis Z. Wang et al.