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pangeo-example-landsat-2018

A new example notebook for the pangeo project - cloud-native computation of NDVI

More about the awesome Pangeo Project: http://pangeo-data.org

Coming soon:

  • deploy this notebook easily with pangeo-binder!

Landsat 8 NDVI Analysis on the Cloud

This notebook demonstrates how to run a distributed calculation of NDVI using Landsat8 data stored on AWS S3. What is unique about this workflow is that no data is downloaded! All calculations are performed in memory across many distributed machines on the AWS Cloud. This is possible because the Landsat 8 data is stored in Cloud-Optimized Geotiff format, which can be accessed remotely via xarray and rasterio Python libraries. Distributed computing is enabled through a Pangeo JupyterHub deployment with Dask Kubernetes.

About Landsat 8: https://landsat.usgs.gov/landsat-8

About the AWS Landsat archive: https://registry.opendata.aws/landsat-8/

A nice way to query this archive on S3 is the sat-search tool: https://github.com/sat-utils/sat-search

Date: August 15, 2018

Creators: Scott Henderson, Daniel Rothenberg, and other Pangeo Sprint participants!

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