Add example notebook for wildfire detection with SageMaker geospatial capabilities (#3799)
* added new geospatial notebook for wildfire damage assessment * added new section for quantifying vegetation loss and estimating impact area * updated notebook formatting with black-nb * Updated README with reference to new example
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@@ -34,7 +34,9 @@ As of February 7, 2022, the default branch is named "main". See our [announcemen
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These examples introduce SageMaker geospatial capabilities which makes it easy to build, train, and deploy ML models using geospatial data.
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-[Monitoring Lake Drought with SageMaker Geospatial Capabilities](sagemaker-geospatial/lake-mead-drought-monitoring) shows how to monitor Lake Mead drought using SageMaker geospatial capabilities.
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- [Monitoring Lake Drought with SageMaker Geospatial Capabilities](sagemaker-geospatial/lake-mead-drought-monitoring) shows how to monitor Lake Mead drought using SageMaker geospatial capabilities.
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- [Digital Farming with Amazon SageMaker Geospatial Capabilities](sagemaker-geospatial/digital-farming-pipelines) shows how geospatial capabilities can help accelerating, optimizing, and easing the processing of the geospatial data for the Digital Farming use cases.
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- [Assess wildfire damage with Amazon SageMaker Geospatial Capabilities](sagemaker-geospatial/dixie-wildfire-damage-assessment/dixie-wildfire-damage-assessment.ipynb) demonstrates how Amazon SageMaker geospatial capabilities can be used to identify and assess vegetation loss caused by the Dixie wildfire in Northern California.
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### Introduction to Ground Truth Labeling Jobs
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