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--extra-index-url https://packages.ard.maxar.com/
maxar-canvas-grid
click
pyjwt
s3fs
boto3
requests
requests_oauthlib
pydantic
backports.cached-property
rasterio
fiona
shapely
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
},
"colab": {
"name": "sdk-quickstart.ipynb",
"provenance": []
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "l9vtE4lSFnkR"
},
"source": [
"# Overview\n",
"\n",
"This Quickstart example will walk you through selecting and working with ordered ARD imagery using the ARD Python SDK.\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "3mgRCYvBFnkR"
},
"source": [
"# Step 1: Install tools\n",
"\n",
"To install the SDK, you would run:\n",
"\n",
"`pip install max-ard --extra-index-url https://packages.ard.maxar.com/`\n",
"\n",
"For installation here in CoLab, run the next cell.\n",
"\n",
"The SDK uses the `Boto3` package to access S3 resources. For this tutorial we use public sample data that does not require AWS credentials to be set up.\n",
"\n",
"For SDK functionality that accesses ARD products in **private** S3 buckets S3 you will need to have correctly configured [AWS credentials](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html).\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "lca8vp7KmHCb"
},
"source": [
"# run me to install the SDK\n",
"!pip install max-ard[full] backports.cached_property --extra-index-url https://packages.ard.maxar.com/ "
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "euEGlLZ4FnkS"
},
"source": [
"# Step 2: Get an access token\n",
"\n",
"The ARD Python SDK manages access tokens for you. You will need to provide your username and password via a configuration file or with environment variables.\n",
"\n",
"## Environment Variables\n",
"\n",
"For this demo we'll set environment variables to a set of Evaluation credentials. Orders can not be placed with these credentials, but for the purpose of this tutorial we will use sample data instead.\n",
"\n",
"## Configuration File\n",
"\n",
"You can also store your login information locally in a configuration file. Create a text file named `.ard-config` in your home directory with the following contents:\n",
"\n",
"```\n",
"[ard]\n",
"user_name = <your user name>\n",
"user_password = <your password>\n",
"```\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "_oxoVaZ2GCIk"
},
"source": [
"# run me to set Evaluation credentials\n",
"import os\n",
"os.environ['ARD_USERNAME'] = 'marc.pfister@gmail.com'\n",
"os.environ['ARD_PASSWORD'] = 'Ready4Analysis!'\n"
],
"execution_count": 8,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "1kZBVNVlFnkS"
},
"source": [
"# Step 3: Create an S3 bucket policy and give Maxar write access\n",
"\n",
"The next step would be to create a bucket and allow access to the ARD writer. Since we won't be ordering data, we'll skip this step.\n",
"\n",
"For reference, You can manually create your bucket and set access via the AWS Console or the AWS CLI tools (described in the API and CLI quickstart sections respectively)\n",
"\n",
"The ARD Python SDK also has tools to create and configure a bucket.\n",
"\n",
"```python\n",
">> from max_ard.storage import init_bucket\n",
">> init_bucket('my-ard-bucket-test')\n",
"```\n",
"\n",
"```\n",
"Created bucket \"my-ard-bucket-test\"\n",
"Added ARD writer policy to bucket\n",
"Object Ownership set to Bucket Owner Preferred\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "0HJM9GPxFnkT"
},
"source": [
"# Step 4: Select ARD tiles to order\n",
"\n",
"The ARD Select system provides advanced searching and selection for ARD data. This document covers the basics of specifying queries and running a Select with the Python SDK. If you already know the acquisition IDs you'd like to order, you can skip down to Step 5.\n",
"\n",
"First we'll start out with two imports - the `Select` object which you'll use to create and run a Select query, and the `FilterFactory` object which makes it easier to write queries."
]
},
{
"cell_type": "code",
"metadata": {
"id": "HtNN8FWJFnkU"
},
"source": [
"from max_ard import Select\n",
"from time import sleep"
],
"execution_count": 14,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "qL9dTbZIFnkU"
},
"source": [
"To limit the scope of a Select, it needs to either be limited to a list of acquisition IDs, or restricted to a geographic area. For this example we'll use a a bounding box over Albuquerque, New Mexico.\n",
"\n",
"We'll also restrict the images to those collected between the dates of 2020-07-01 and 2021-01-25."
]
},
{
"cell_type": "code",
"metadata": {
"id": "HECT8TGjFnkU"
},
"source": [
"bbox = [-106.8, 35.1, -106.4, 35.4]\n",
"datetime = \"2020-07-01T00:00:00Z/2021-01-25T00:00:00Z\""
],
"execution_count": 15,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "jt2c3FUPFnkV"
},
"source": [
"In addition to the spatial and temporal restrictions, we would like to limit this Select to image tiles with the following qualities:\n",
"\n",
"- collected by Worldview-2\n",
"- more than 95% cloud free within the Area of Interest (the `bbox`)\n",
"- more than 75% of the AOI has valid image pixels\n",
"\n",
"This query is represented in the Select system by the following dictionary:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "NvIU4r4tFnkV"
},
"source": [
"query = {\n",
" \"platform\": {\n",
" \"eq\": \"worldview-02\"\n",
" },\n",
" \"aoi:cloud_free_percentage\": {\n",
" \"gte\": 95\n",
" },\n",
" \"aoi:data_percentage\": {\n",
" \"gte\": 75\n",
" }\n",
" }"
],
"execution_count": 16,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "aLlXHJcxFnkV"
},
"source": [
"We'll also add a _stack depth_ of 3. This is how many tiles in each grid cell the Select system will try to return. \n",
"\n",
"The Select system picks the tiles by scoring them and returns the best scoring tiles. The score is calculated based on the recency, with newer images favored over older ones, and how they compare to any filters that compare numerical values ( `>`, `>=`, `<`, `<=`).\n",
"\n",
"For this example, when we set the cloud-free percentage to 95 (or `aoi:cloud_free_percentage >= 95`), the Select system will score acquisitions better the greater their cloud free percentage is. This means that an image with a cloud-free percentage of 100 will score better on this metric than an image that is 96% cloud free. An image with 72% cloud free coverage does not satisfy the filter and is rejected."
]
},
{
"cell_type": "code",
"metadata": {
"id": "_CK6rD59FnkV"
},
"source": [
"s = Select(datetime=datetime, bbox=bbox, query=query, stack_depth=3)\n",
"s.submit()"
],
"execution_count": 17,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "wsQLpE60FnkW"
},
"source": [
"Depending on how complicated the query is, the Select service API may be able to respond with an answer, or it may respond with a job number for the user to check. The ARD SDK handles this for you. You can periodically check to see if the Select is finished by polling:"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "wE_r8ZDsFnkW",
"outputId": "8f199164-defb-4247-a941-882b2e77cefb"
},
"source": [
"while not s.finished:\n",
" sleep(5)\n",
"print(f'Select {s.select_id} is complete')"
],
"execution_count": 18,
"outputs": [
{
"output_type": "stream",
"text": [
"Select 5589922909084136931 is complete\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "M-ngm-1ZFnkW"
},
"source": [
"Let's look at some of the results of the Select:"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "o5do2klfFnkW",
"outputId": "31e5e16c-64a4-42c0-9b63-a72f64e9cc2c"
},
"source": [
"ids = ', '.join([k for k in s.results.acquisitions.keys()])\n",
"print(f'Found the following acquisition IDs: {ids}')\n",
"print(f'Covering {len(s.results.cells)} cells')\n",
"print('Ordering this selection will use:')\n",
"print(f'- {s.usage[\"fresh_imagery_sqkm\"]} sqkm of fresh imagery')\n",
"print(f'- {s.usage[\"standard_imagery_sqkm\"]} sqkm of standard imagery')\n",
"print(f'- {s.usage[\"training_imagery_sqkm\"]} sqkm of training imagery')"
],
"execution_count": 19,
"outputs": [
{
"output_type": "stream",
"text": [
"Found the following acquisition IDs: 10300100B3841C00, 10300100AC94D700, 10300100AA1C6800, 10300100B2B49700, 10300100B39ACD00, 10300100AB101A00, 10300100AD437400, 10300100AC700900, 10300100ACCDAB00, 10300100A9547600, 10300100A9CC9200, 10300100A67D3100\n",
"Covering 56 cells\n",
"Ordering this selection will use:\n",
"- 704 sqkm of fresh imagery\n",
"- 1562 sqkm of standard imagery\n",
"- 0 sqkm of training imagery\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "pF1khuCZrqwg"
},
"source": [
"Next let's look at the results in the HTML viewer. The ARD Select system generates the results in several different formats for easy viewing and analysis. The HTML file gives you a dynamic viewer to see the results and runs from a single file. These results are protected by a temporary signed link, so we'll request the link and use it to download the viewer."
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 137
},
"id": "uPS7Quz-rZTY",
"outputId": "e6b584dd-552c-48e1-f873-1fc6f80d01eb"
},
"source": [
"s.get_signed_link('html')"
],
"execution_count": 20,
"outputs": [
{
"output_type": "execute_result",
"data": {
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
},
"text/plain": [
"'https://ard-metadata-master-prod-materialselectionresults-15plarq5ol9x7.s3.amazonaws.com/5589922909084136931/5589922909084136931-visualization.html?AWSAccessKeyId=ASIAU3YJF7BO2NYTPOHS&Signature=e33dPEjMvMsTZD70dK3%2FBQJaSFg%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEMz%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIQD%2F2tI9A4hjgPRHipWyN8zpcX3ZP6feWHX%2BWO7XsIhgkAIgLWL0dVFoYM8lhXzpddW6orinenGW0tNouTVBJRtsOuYqhwIIxf%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARABGgwzMzQ0ODk4NDM4MDUiDL8fAqQR9AKn0loSGCrbARzGnYmJ2g3kzbfI4jiacEgaCULKQGW8SCAymxRxokhMzBeIUc94fvGxLJ6jyCIdUkPO4uoz6R9tW1kgytMesGzq%2B07%2FkDumVoA4LFz4J2zXNMLTVWOTY2ufSEQ5b3jA2Acplet3O%2FUz1JO3gaDWSPj11s4K2NUdSrbsvbIvr3QV52yKvlQcZckT7ZHpIyDNX9UtDyrs6yAR9ZX62MwOptFGZ6sgCG%2FU0U05qOsnVgZSspZmhscik%2F06ZidKlupRYwshAGkweQWGuYTShgo%2FlpE%2BB9eAQ%2Fph5TUvHTCimZaBBjrgAa9cKLJwGwSjIOpeBczKUirkTt5Jv7u6Pi7QGm9hStat7MrvT9QVISEOT2li6B4rrT%2BZZ2%2F8v6LI3sAgD9pRxN2mON8VYDZYtIb94wRWi9oAn5XV1XDAlu3iMyCr293aIPypgnlkxIltu1BLBnc6tup65Ctg7T4wtXnTu%2FSX7LLig2vnDqkqavQxYzsRBmNOnnTpwRTSkmGRHsdRT9vfCqVB2D8YOdHCVsvHVHreTAm%2FotFG5x5tnW2QIsuDd5abLzLLXn6vWSC%2Bg0%2FdDTWxBYv2OPzqw0ODsqImYNSaL%2FKg&Expires=1613077204'"
]
},
"metadata": {
"tags": []
},
"execution_count": 20
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "LcmurUU2FnkX"
},
"source": [
"If we were to order this Select, we could create an order with the Select ID and a destination. We'd also add an email notification.\n",
"\n",
"```python\n",
"from max_ard import Order\n",
"\n",
"order = Order(select_id=s.select_id, destination = 'my-ard-bucket-test/ABQ')\n",
"order.add_email_notification('me@email.com')\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "a2PSbNVNFnkX"
},
"source": [
"If you knew acquisition IDs yto order, for example from searching for images on [discover.digitalglobe.com](https://discover.digitalglobe.com), we could order them directly without a Select:\n",
"\n",
"```python\n",
"acquisition_ids = [\n",
" '<id 1>',\n",
" '<id 2>',\n",
"]\n",
"order = Order(acquisitions=acquisitions, destination = 'my-ard-bucket-test/ABQ', dry_run=True)\n",
"order.add_email('me@email.com')\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "-wZDkGacFnkY"
},
"source": [
"Then you would submit your order. It can take anywhere from 2 to 24 hours to deliver the images to your S3 bucket\n",
"\n",
"```python\n",
"order.submit()\n",
"print(order.state)\n",
"```\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "JlxY-Jo4FnkZ"
},
"source": [
"Now let's fast-forward to looking at some delivered ARD data. We'll look at data from a sample order in the S3 location `s3://maxar-ard-samples/sample-001/`. Since this is a public bucket we need to skip authentication by passing `anon=True`."
]
},
{
"cell_type": "code",
"metadata": {
"id": "WK1GVCXQFnkZ"
},
"source": [
"from max_ard import ARDCollection\n",
"\n",
"collection = ARDCollection('s3://maxar-ard-samples/sample-001/', anon=True)"
],
"execution_count": 1,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "GYDkUSS1FnkZ"
},
"source": [
"We can see what acquisitions are stored there:"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "BxcJAHs3Fnka",
"outputId": "a276aaae-304f-4a63-d9de-cf7ba2e78938"
},
"source": [
"collection.acquisitions"
],
"execution_count": 2,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"[<Acquisition of 1030010052208D00 (2 tiles)>,\n",
" <Acquisition of 105001001659C000 (2 tiles)>,\n",
" <Acquisition of 1050010017603F00 (2 tiles)>,\n",
" <Acquisition of 10300100AE735300 (2 tiles)>]"
]
},
"metadata": {
"tags": []
},
"execution_count": 2
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "QZdYZkscFnka"
},
"source": [
"We can also get a summary of dates:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "Zj-Ie2H8Fnka",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "28a3576f-1987-4428-c7b4-0a3dc87824a9"
},
"source": [
"print(collection.dates)\n",
"print(collection.start_date)\n",
"print(collection.end_date)"
],
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": [
"['2016-02-21', '2019-05-21', '2019-07-12', '2020-10-22']\n",
"2016-02-21\n",
"2020-10-22\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "2OGbiyePFnka"
},
"source": [
"An `ARDCollection` gives access to all the tiles - we can list the first 10:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "F9AorZO5Fnka",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "fc93a2c3-898b-4266-bb41-c3cb53473307"
},
"source": [
"collection.tiles[0:10]"
],
"execution_count": 4,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"[<ARDTile of 1030010052208D00 at z10-120020223023>,\n",
" <ARDTile of 1030010052208D00 at z10-120020223032>,\n",
" <ARDTile of 105001001659C000 at z10-120020223023>,\n",
" <ARDTile of 105001001659C000 at z10-120020223032>,\n",
" <ARDTile of 1050010017603F00 at z10-120020223023>,\n",
" <ARDTile of 1050010017603F00 at z10-120020223032>,\n",
" <ARDTile of 10300100AE735300 at z10-120020223023>,\n",
" <ARDTile of 10300100AE735300 at z10-120020223032>]"
]
},
"metadata": {
"tags": []
},
"execution_count": 4
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "kwFTJk4cFnkb"
},
"source": [
"Taking a look at the first tile, we can see some of its properties:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "ZVUDHMHsFnkb",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "493c21db-7053-43c7-8157-7ea07492ba59"
},
"source": [
"tile = collection.tiles[0]\n",
"print('Tile:', tile)\n",
"print('Cell:', tile.cell)\n",
"for k,v in tile.properties.items():\n",
" print(f' {k}: {v}')"
],
"execution_count": 5,
"outputs": [
{
"output_type": "stream",
"text": [
"Tile: <ARDTile of 1030010052208D00 at z10-120020223023>\n",
"Cell: <Cell Z10-120020223023>\n",
" quadkey: 10/120020223023\n",
" catalog_id: 1030010052208D00\n",
" platform: worldview-02\n",
" scan_direction: forward\n",
" gsd_avg: 0.510803461075\n",
" gsd_min: 0.503421664238\n",
" gsd_max: 0.517965197563\n",
" off_nadir_avg: 18.7654075623\n",
" off_nadir_min: 17.382724762\n",
" off_nadir_max: 20.0330142975\n",
" target_azimuth: 137.48991394\n",
" sun_elevation: 39.1091308594\n",
" sun_azimuth: 156.541610718\n",
" epsg: 32610\n",
" cloud_cover: 0\n",
" datetime: 2016-02-21T19:10:06.425678Z\n",
" tile:data_area: 28.2\n",
" tile:clouds_area: 0.0\n",
" tile:clouds_percent: 0\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "nNOFP07jFnkb"
},
"source": [
"Finally, let's plot a thumbnail of the 'visual' asset. Because ARD tiles are cloud-optimized GeoTIFFs, we can read from the overview to get a low resolution representation for our thumbnail:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "ycTL2wE7Fnkb",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 269
},
"outputId": "48437481-adc4-4d7e-efa0-1bfe6650298a"
},
"source": [
"% matplotlib inline\n",
"from rasterio.plot import show\n",
"\n",
"with tile.open_asset('visual') as src:\n",
" # setting the output shape to a smaller size makes rasterio read the overview instead of full resolution data\n",
" arr = src.read(out_shape=(3, int(src.height / 64), int(src.width / 64)))\n",
" show(arr)"
],
"execution_count": 9,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "W450DzmzFnkc"
},
"source": [
"For more information on using the Python SDK, see the [SDK documentation](https://ard.maxar.com/sdk-docs/)."
]
}
]
}
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