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://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