Conclusion: 

Flood monitoring with satellite imagery from Planet Labs , Amazon Sagemaker Geospatial capabilities and ASDI has several advantages over traditional methods of flood monitoring, including its ability to provide data much faster then traditional methods and its ability to cover large areas quickly. This makes it a valuable tool for disaster management agencies, researchers and other organizations involved in flood response and relief efforts. SageMaker now supports geospatial machine learning (ML), making it easier for data scientists and ML engineers to build, train, and deploy models using geospatial data. In this post, we showed how to utilize data, perform analysis and  visualize the changes in water level with SageMaker geospatial capabilities. See the Amazon SageMaker geospatial documentation  to learn more.
References: 
https://aws.amazon.com/blogs/machine-learning/monitoring-lake-mead-drought-using-the-new-amazon-sagemaker-geospatial-capabilities/
https://earthobservatory.nasa.gov/images/145029/flooding-continues-along-the-mississippi
Data Source: Sentinel Tiff arn:aws:sagemaker-geospatial:us-west-2:378778860802:raster-data-collection/public/nmqj48dcu3g7ayw8
Studio notebook - https://d-3o0hpfuqdd0k.studio.us-west-2.sagemaker.aws/jupyter/default/lab?
Earth observation job docs - https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker-geospatial/client/get_earth_observation_job.html