RICE CROP MAPPING USING SENTINEL-1A PHENOLOGICAL METRICS

5 citations as recorded by crossref.

1. Modelling the Potential Impacts of Climate Change on Rice Cultivation in Mekong Delta, Vietnam A. Dang et al. https://doi.org/10.3390/su12229608
2. Emotion Analysis of Literary Works Based on Attentional Mechanisms and the Fusion of Two-Channel Features Y. Han & L. Li https://doi.org/10.1155/2022/8237466
3. Machine Learning Techniques for Phenology Assessment of Sugarcane Using Conjunctive SAR and Optical Data M. Yeasin et al. https://doi.org/10.3390/rs14143249
4. Improved Remote Sensing Methods to Detect Northern Wild Rice (Zizania palustris L.) K. O’Shea et al. https://doi.org/10.3390/rs12183023
5. Tropical Rice Mapping Using Time-Series SAR Images and ESF-Seg Model in Hainan, China, from 2019 to 2023 Y. Xie et al. https://doi.org/10.3390/rs17020209