Large scale paddy mapping at medium or high spatial resolution is rare, primarily due to limited availability of cloud-free optical imagery. The rice paddy maps, which are freely distributed by International Rice Research Institute, Philippines are of coarse spatial resolution and more than nearly seven years old. Scientists from China have now developed high resolution maps with crucial information, by using cloud-free Synthetic Aperture Radar images from Sentinel-1 satellite, the Random Forest classifier, and the Google Earth Engine cloud computing platform. The Sentinel-1 satellite was launched by European Space Agency and its data is available for free. Mapping and monitoring of paddy cultivation areas can help make effective strategies for the spread of new technologies, sustainable crop management and diversification options among rice growing farmers. These high resolution maps for Northeast India and Bangladesh will help study cloud-prone rice paddy cultivation regions in South Asia.