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Sara Safavi
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Asset 'atmcorrected' renamed to 'analytic_sr'
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jupyter-notebooks/ndvi-from-sr/ndvi_planetscope_sr.ipynb

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"- [numpy](http://www.numpy.org/)\n",
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"- [matplotlib](https://matplotlib.org/)\n",
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"- [Planet API Key](https://www.planet.com/account/#/), stored as environment variable `$PL_API_KEY`.\n",
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"- [Planet 4-Band Imagery](https://www.planet.com/docs/imagery-quickstart/) with the following specifications: `item-type`: `PSScene4Band`; `asset-type`: `atmcorrected`"
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"- [Planet 4-Band Imagery](https://www.planet.com/docs/imagery-quickstart/) with the following specifications: `item-type`: `PSScene4Band`; `asset-type`: `analytic_sr`"
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]
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"First, you're going to download a [4-band PlanetScope Surface Reflectance product](https://www.planet.com/docs/spec-sheets/sat-imagery/#ps-imagery-product) of agricultural land in California's Central Valley, captured in late August 2016 (`item-id`: `20160831_180302_0e26`). You can do this using [Planet's Python client](https://www.planet.com/docs/api-quickstart-examples/cli/) to interact with our Data API, or by browsing [Planet Explorer](https://www.planet.com/products/explorer/), filtering for 4 Band PlanetScope scene (`PSScene4Band`), and downloading an `atmcorrected` asset.\n",
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"First, you're going to download a [4-band PlanetScope Surface Reflectance product](https://www.planet.com/docs/spec-sheets/sat-imagery/#ps-imagery-product) of agricultural land in California's Central Valley, captured in late August 2016 (`item-id`: `20160831_180302_0e26`). You can do this using [Planet's Python client](https://www.planet.com/docs/api-quickstart-examples/cli/) to interact with our Data API, or by browsing [Planet Explorer](https://www.planet.com/products/explorer/), filtering for 4 Band PlanetScope scene (`PSScene4Band`), and downloading an `analytic_sr` asset.\n",
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"\n",
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"Before you download the full image, you can [preview a thumbnail](https://www.planet.com/docs/reference/data-api/previews/) of the image via Planet's Data API. (The thumbnails are 256x256 by default, and can be scaled up to 512x512 by passing in a `width` parameter.) "
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},
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"outputs": [],
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"source": [
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"!planet data download --item-type PSScene4Band --asset-type atmcorrected --dest data --string-in id 20160831_180302_0e26"
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"!planet data download --item-type PSScene4Band --asset-type analytic_sr --dest data --string-in id 20160831_180302_0e26"
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]
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},
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{

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