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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CEOS Open Data Cube Sandbox Notebooks\n",
    "\n",
    "The CEOS Open Data Cube Sandbox Notebooks is a collection of Jupyter Notebooks using the [Open Data Cube](https://www.opendatacube.org/) to analyze satellite data. These are modified versions of the [CEOS Open Data Cube Notebooks](https://github.com/ceos-seo/data_cube_notebooks) - mainly changed to accommodate differences in data availability.\n",
    "\n",
    "Specifically, the notebooks here are part of the [Data Cube Applications Library (DCAL)](https://www.opendatacube.org/dcal), which demonstrate how to perform several common tasks in geospatial analyses such as calculating spectral indices, obtaining time-series composites (or \"mosaics\"), detecting water, and more."
   ]
  }
 ],
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   "file_extension": ".py",
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}

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Modified versions of the CEOS Data Cube Notebooks (https://github.com/ceos-seo/data_cube_notebooks) for our sandbox deployment

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