In ACI, a group of analysts started this journey in 2016 with a hope to identify different stages of rice with Synthetic Aperture RADAR (SAR) image called Sentinel-1, starting from its seedling stage to harvest stage. While different pest and diseases spread with different temperature and weather condition, the idea is to develop a model to map this pattern and the places where they are probable to occur. With the right weather forecast, the model creates a vulnerability map for each crop stage. The crop lands of Bangladesh are fragmented, heterogeneous and sometime patternless, making the whole task even more challenging. The lands here are geographically diverse, demographically intense and economically apprehensive. Fortunately, the techniques of remote sensing kept evolving.