selecting-ard-new.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ARD Selects\n",
    "\n",
    "### Before we begin: run the necessary imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from max_ard import Select\n",
    "from max_ard.exceptions import NotSubmitted\n",
    "from vizard import enter_ard_creds, generate_iframe_html\n",
    "from os import listdir\n",
    "from shapely.geometry import shape\n",
    "from warnings import catch_warnings, simplefilter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set credentials\n",
    "The ARD Python SDK manages access tokens for you. \n",
    "Normally max_ard uses a configuration file to store your credentials, but for running remotely we suggest setting environment variables instead for more security. Run the next cell to set these variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ARD username (email address): maja.cannavo@maxar.com\n",
      "ARD password: ········\n"
     ]
    }
   ],
   "source": [
    "enter_ard_creds()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To run Selects from Python the SDK has a `Select` object that represents a Select and its interaction with the API. Selects require either some kind of geographic AOI (area of interest), or list of one or more Acquistion IDs to use. For this notebook we'll use a bounding box over Albuquerque, New Mexico. We'll also add a date range."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "bbox = [-106.8, 35.1, -106.4, 35.4] # format [min longitude, min latitude, max longitude, max latitude]\n",
    "datetime =  \"2020-07-01T00:00:00Z/2021-01-25T00:00:00Z\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Select System also lets you filter on metadata fields. The Select API expects filter queries in this JSON object structure (here as a Python dictionary). For a full list of properties and operators you can use to build queries, see the [Select API documentation](https://ard.maxar.com/docs/api-reference/post-select/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = {\n",
    "        \"platform\": {\n",
    "          \"eq\": \"worldview-02\"\n",
    "        },\n",
    "        \n",
    "        \"aoi:cloud_free_percentage\": {\n",
    "          \"gte\": 95\n",
    "        },\n",
    "        \"aoi:data_percentage\": {\n",
    "          \"gte\": 75\n",
    "        }\n",
    "    }"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This query sets three filters for the select system to use to pick tiles. They are, in order:\n",
    "\n",
    "- The platform (a satellite or constellation of satellites) must be Worldview 2\n",
    "- The tile must be at least 95% free of clouds within the supplied Area of Interest (the `bbox`)\n",
    "- The AOI must also be at least 75% full of valid data pixels"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The call signature for a Select includes the following keyword arguments:\n",
    "    \n",
    "- `acq_ids`: An iterable of acquisition IDs to search for.\n",
    "- `datetime`: A datetime string or range:\n",
    "    - single date: `“2020-10-26T13:00:00Z”`\n",
    "    - range: _use a slash_ `“2019-10-25T09:00:00Z/2020-10-26T13:00:00Z”`\n",
    "    - open-ended range: _use two dots and a slash_ `“../2020-10-26T13:00:00Z”`\n",
    "- `intersects`: A WGS 84 geometry to limit the search to. Can be WKT or a Shapely geometry.\n",
    "- `bbox`: A 4-tuple of the WGS 84 bounding box to limit the search to, in the form [XMIN, YMIN, XMAX, YMAX]\n",
    "- `query`: API query JSON as a Python dictionary\n",
    "- `stack_depth`: Limits the number of tiles returned per grid cell. When searching the tiles are ranked and the best scoring tiles will be used to return this number of tiles. Default is 5 tiles.\n",
    "\n",
    "We'll create a Select using the `datetime`, `bbox`, and `query` we defined. We'll also add a stack depth of 3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = Select(datetime=datetime, bbox=bbox, query=query, stack_depth=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's take a look at `Select`s:\n",
    "\n",
    "\n",
    "### Properties of the Select object\n",
    "\n",
    "A Select has the following properties after it is created:\n",
    "\n",
    "- `request`: A container object storing the request options.\n",
    "\n",
    "After the Select has been submitted with `.submit()`, the following properties can be used:\n",
    "\n",
    "- `select_id`: The Select ID assigned to the request\n",
    "- `finished`: Boolean if the Select has finished running\n",
    "- `state`: state of the select process: 'RUNNING', 'SUCCEEDED', or 'FAILED'\n",
    "\n",
    "\n",
    "Once the Select has finished, these properties are available:\n",
    "\n",
    "- `response`: A container object of the API response\n",
    "- `usage`: A convenience property for the data usage section of the Select response\n",
    "- `results`: A SelectResults object that for examining the Select response\n",
    "\n",
    "### Methods of the Select object\n",
    "\n",
    "- `submit()`: submits the select\n",
    "- `get_link_contents(name)` Gets the contents of one of the results files, where `name` can be `stac`, `html`, `geojson`, or `geojsonl`\n",
    "- `copy_file(name, dir='.')` Copies a result file locally, where `name` can be `stac`, `html`, `geojson`, or `geojsonl`. The file's name will be `<select id>.<name>`, and can be written to the optional location `dir`. If `dir` is not provided it will default to the current working directory.\n",
    "- `get_signed_link(name)` Gets a signed link for a result file, where `name` can be `stac`, `html`, `geojson`, or `geojsonl`. Note: do not use an authenticated session from `get_session()` to download signed links. \n",
    "\n",
    "Since we have not submitted the request yet, the only property we can access is the `request` we are going to send. Trying to access other properties or methods will raise a `NotSubmitted` error."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ids=None datetime='2020-07-01T00:00:00Z/2021-01-25T00:00:00Z' stack_depth=3 intersects=None bbox=[-106.8, 35.1, -106.4, 35.4] query={'platform': {'eq': 'worldview-02'}, 'aoi:cloud_free_percentage': {'gte': 95}, 'aoi:data_percentage': {'gte': 75}} image_age_category=None\n",
      "The Select has not been submitted yet and does not have a state\n"
     ]
    }
   ],
   "source": [
    "print(s.request)\n",
    "try:\n",
    "    print(s.state)\n",
    "except NotSubmitted:\n",
    "    print('The Select has not been submitted yet and does not have a state')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can submit the Select query. Once the Select is submitted to the API it will have a `state` and a `select_id`. Select requests will try to return a response within 20 seconds. If the results can not be computed in that time only a job number is returned. The `Select` object handles this internally. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SUCCEEDED\n",
      "5725301122138062875\n"
     ]
    }
   ],
   "source": [
    "s.submit()\n",
    "print(s.state)\n",
    "print(s.select_id)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Select.wait_for_success()` will poll the API to see if the Select has completed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Select 5725301122138062875 is complete\n"
     ]
    }
   ],
   "source": [
    "s.wait_for_success()\n",
    "print(f'Select {s.select_id} is complete')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To create a `Select` object from ID, use the `from_id` classmethod:\n",
    "\n",
    "```\n",
    "s = Select.from_id('5629729628519955012')\n",
    "<ARD Select 5629729628519955012>\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Select Result Files\n",
    "\n",
    "A completed Select process generates output files. These are:\n",
    "\n",
    "- `.html`: an interative map of the results\n",
    "- `.geojson`: A GeoJSON FeatureCollection of ARD grid tiles and which acquisitions fulfill the query for that cell\n",
    "- `.geojsonl`: A GeoJSON Line representation of the above\n",
    "- `.stac`: A Spatio-Temporal Asset Catalog (STAC) of all the ARD tiles found in the search\n",
    "\n",
    "\n",
    "To access the contents of one of the results files, use `get_link_contents(name)`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "\"type\": \"FeatureCollection\",\n",
      "\"features\": [{\n",
      "  \"type\": \"Feature\",\n",
      "  \"geometry\": {\n",
      "    \"type\": \"Poly...\n"
     ]
    }
   ],
   "source": [
    "geojson = s.get_link_contents('geojson')\n",
    "print(geojson[:100] + '...')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To copy the file locally, use `copy_file(name)`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": [
     "skip"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['5691182556698777399.html',\n",
       " '5725296479003139628.geojson',\n",
       " 'selecting-ard-new.ipynb',\n",
       " 'data-access-new.ipynb',\n",
       " '.DS_Store',\n",
       " 'requirements.txt',\n",
       " 'example-geojson',\n",
       " 'chips',\n",
       " 'storage-describe.ipynb',\n",
       " '5691182556698777399.geojson',\n",
       " '5691182556698777399.stac',\n",
       " 'README.md',\n",
       " '.gitignore',\n",
       " '5725301122138062875.geojson',\n",
       " '.ipynb_checkpoints',\n",
       " '.git',\n",
       " '.vscode',\n",
       " '5691182556698777399.kml',\n",
       " 'assets',\n",
       " 'outputs',\n",
       " '5697106243015081817.geojson']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.copy_file('geojson')\n",
    "listdir('.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also get a temporary signed link for any result file. Note that these signed links should not be downloaded from an authenticated session.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://ard-metadata-master-prod-materialselectionresults-15plarq5ol9x7.s3.amazonaws.com/5725301122138062875/5725301122138062875-visualization.html?response-content-disposition=inline&response-content-type=text%2Fhtml&AWSAccessKeyId=ASIAU3YJF7BOTY6LPAXS&Signature=V9Nb01RfJEq4rU51DKt7P%2FvC%2F%2F0%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEE8aCXVzLWVhc3QtMSJHMEUCIQCkDM7sSP5HkrDrDQrvUaY5JQFvYcDjo5OQUIKcm6RORwIgY1y%2F%2B24Dqcax4AHE%2FFJNstbg%2F7cvjDTKZdY%2FgrANPYQqxAIIeBABGgwzMzQ0ODk4NDM4MDUiDMhJBBgdA3Bq6BpCfCqhArVAY2mQn89fr9ieSA0tSs2AwEJ8XAHBvBkE7ZvdtDKvbftaN378Ki5%2FCouq6o5Xhm5fuffFOEjeISlr0bNdOOpA3FifxEFP0wy0Mh1UFevCojvCrWMyo6NDDkK39x5jnal3x4Dcmlw3Of%2FDGaC4lTNQmBAoqCpUc3AcENbbFR4EGsfi%2BGR54%2BER60Xrt2wek9z2658X1IgjTT0if9wYJRhDmBh4ekHr6BjqzrXnb0gt5viz3jJpGcSJbvNPE79DMQQDklVblhGiMRMCZhn6PsQ15%2BaRQKgc2buUONYGTFNUXrnZ4uj8B%2FhcRidEEpS4Hiy4E0vKXmhjkjg2yvPlUg5ApmrFmSSkRGGkCIIgFOUDCcwYLy9i7JWFYElon7%2B1Sz4w7JnviAY6mgGnWBKgFZyYHM1DhDbAUHGS%2B8At4Kj8WEK0CJsfkt6Inx%2Fsnndkk3JRNIXM1KguJEG7%2FfxmqB4FG7yZfI6urJZa%2FS%2Fc6khAQBa%2BQoAuHQSjxTWruhjbe091pA9kELgOTnLCE4o23ba30PpGk50mLonsByG220fCjDdDI2F7A4YaprK2b4ka7PqAff9ETn5BeB%2Fptqq5QKM%2BrLmz&Expires=1629215488\n"
     ]
    }
   ],
   "source": [
    "link = s.get_signed_link('html')\n",
    "print(link)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`vizard` also has a built-in tool for viewing `Select` results within a Jupyter notebook. First, adjust the pixel dimensions and alignments of the iframes for your `before` and `after` `Select` objects if you'd like."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "height = '450'\n",
    "width = '600'\n",
    "align = 'left'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run this cell to generate your visualization:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "iframe_html = generate_iframe_html(\n",
    "    id=s.select_id, \n",
    "    height=height, \n",
    "    width=width, \n",
    "    align=align\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's output the visualization into the notebook:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe height='450px' width='600px' align='left' src='https://ard-metadata-master-prod-materialselectionresults-15plarq5ol9x7.s3.amazonaws.com/5725301122138062875/5725301122138062875-visualization.html?response-content-disposition=inline&response-content-type=text%2Fhtml&AWSAccessKeyId=ASIAU3YJF7BOTY6LPAXS&Signature=Gy7YnvqHIfC4rMk8hgr21rTDSdM%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEE8aCXVzLWVhc3QtMSJHMEUCIQCkDM7sSP5HkrDrDQrvUaY5JQFvYcDjo5OQUIKcm6RORwIgY1y%2F%2B24Dqcax4AHE%2FFJNstbg%2F7cvjDTKZdY%2FgrANPYQqxAIIeBABGgwzMzQ0ODk4NDM4MDUiDMhJBBgdA3Bq6BpCfCqhArVAY2mQn89fr9ieSA0tSs2AwEJ8XAHBvBkE7ZvdtDKvbftaN378Ki5%2FCouq6o5Xhm5fuffFOEjeISlr0bNdOOpA3FifxEFP0wy0Mh1UFevCojvCrWMyo6NDDkK39x5jnal3x4Dcmlw3Of%2FDGaC4lTNQmBAoqCpUc3AcENbbFR4EGsfi%2BGR54%2BER60Xrt2wek9z2658X1IgjTT0if9wYJRhDmBh4ekHr6BjqzrXnb0gt5viz3jJpGcSJbvNPE79DMQQDklVblhGiMRMCZhn6PsQ15%2BaRQKgc2buUONYGTFNUXrnZ4uj8B%2FhcRidEEpS4Hiy4E0vKXmhjkjg2yvPlUg5ApmrFmSSkRGGkCIIgFOUDCcwYLy9i7JWFYElon7%2B1Sz4w7JnviAY6mgGnWBKgFZyYHM1DhDbAUHGS%2B8At4Kj8WEK0CJsfkt6Inx%2Fsnndkk3JRNIXM1KguJEG7%2FfxmqB4FG7yZfI6urJZa%2FS%2Fc6khAQBa%2BQoAuHQSjxTWruhjbe091pA9kELgOTnLCE4o23ba30PpGk50mLonsByG220fCjDdDI2F7A4YaprK2b4ka7PqAff9ETn5BeB%2Fptqq5QKM%2BrLmz&Expires=1629215492'></iframe>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with catch_warnings(): \n",
    "    \n",
    "    # IPython will advise us to use its built-in display feature instead--don't listen\n",
    "    simplefilter('ignore')\n",
    "    \n",
    "    get_ipython().run_cell_magic('html', '', iframe_html)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Usage\n",
    "\n",
    "You can find the data usage a Select would incur if ordered in `.usage`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SelectUsage(area=UsageArea(fresh_imagery_sqkm=0.0, standard_imagery_sqkm=2317.0, training_imagery_sqkm=0.0, total_imagery_sqkm=2317.0, estimate=True), cost=UsageCost(fresh_imagery_cost=0.0, standard_imagery_cost=24.0, training_imagery_cost=0.0, total_imagery_cost=24.0, estimate=True), limits=UsageLimits(limit_sqkm=-1.0, fresh_imagery_fee_limit=-1.0, standard_imagery_fee_limit=-1.0, training_imagery_fee_limit=-1.0, annual_subscription_fee_limit=-1.0), available=UsageAvailable(available_sqkm=-1.0, fresh_imagery_balance=-1.0, standard_imagery_balance=-1.0, training_imagery_balance=-1.0, total_imagery_balance=-1.0), usage_as_of='2021-08-17T14:51:19Z')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.usage"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Select Results\n",
    "\n",
    "The `Results` object provides convenient access to Select results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<SelectResult (94 tiles in 11 acquisitions) >\n"
     ]
    }
   ],
   "source": [
    "results = s.results\n",
    "print(results)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Results support the Python Geospatial interface and can be loaded by Shapely and other libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "<shapely.geometry.multipolygon.MultiPolygon at 0x121a1ffd0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shape(results)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Results have a list of dates, as well as start and end dates:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['2020-07-10',\n",
       " '2020-07-24',\n",
       " '2020-07-29',\n",
       " '2020-09-08',\n",
       " '2020-10-21',\n",
       " '2021-01-16']"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('2020-07-10', '2021-01-16')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.start_date, results.end_date"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To access all the tiles in the results:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<SelectTile of 10300100B3841C00 at Z13-031133231113>,\n",
       " <SelectTile of 10300100B3841C00 at Z13-031133231131>,\n",
       " <SelectTile of 10300100B3841C00 at Z13-031133231133>,\n",
       " <SelectTile of 10300100B3841C00 at Z13-031133231311>,\n",
       " <SelectTile of 10300100B3841C00 at Z13-031133231313>,\n",
       " <SelectTile of 10300100B3841C00 at Z13-031133231331>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320001>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320001>,\n",
       " <SelectTile of 10300100B2B49700 at Z13-031133320002>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320003>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320003>,\n",
       " <SelectTile of 10300100AB101A00 at Z13-031133320003>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320010>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320010>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320011>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320011>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320012>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320012>,\n",
       " <SelectTile of 10300100AB101A00 at Z13-031133320012>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320013>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320013>,\n",
       " <SelectTile of 10300100B39ACD00 at Z13-031133320013>,\n",
       " <SelectTile of 10300100B2B49700 at Z13-031133320020>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320021>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320021>,\n",
       " <SelectTile of 10300100AB101A00 at Z13-031133320021>,\n",
       " <SelectTile of 10300100B2B49700 at Z13-031133320022>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320023>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320023>,\n",
       " <SelectTile of 10300100AB101A00 at Z13-031133320023>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320030>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320030>,\n",
       " <SelectTile of 10300100AB101A00 at Z13-031133320030>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320031>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320031>,\n",
       " <SelectTile of 10300100AB101A00 at Z13-031133320031>,\n",
       " <SelectTile of 10300100AB101A00 at Z13-031133320032>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320032>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320032>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320033>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320033>,\n",
       " <SelectTile of 10300100AB101A00 at Z13-031133320033>,\n",
       " <SelectTile of 10300100B39ACD00 at Z13-031133320102>,\n",
       " <SelectTile of 10300100B39ACD00 at Z13-031133320103>,\n",
       " <SelectTile of 10300100B39ACD00 at Z13-031133320120>,\n",
       " <SelectTile of 10300100B39ACD00 at Z13-031133320121>,\n",
       " <SelectTile of 10300100B39ACD00 at Z13-031133320122>,\n",
       " <SelectTile of 10300100B2B49700 at Z13-031133320200>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320201>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320201>,\n",
       " <SelectTile of 10300100AB101A00 at Z13-031133320201>,\n",
       " <SelectTile of 10300100B2B49700 at Z13-031133320202>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320203>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320203>,\n",
       " <SelectTile of 10300100AB101A00 at Z13-031133320203>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320210>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320210>,\n",
       " <SelectTile of 10300100AB101A00 at Z13-031133320210>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320211>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320211>,\n",
       " <SelectTile of 10300100AB101A00 at Z13-031133320211>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320212>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320212>,\n",
       " <SelectTile of 10300100AB101A00 at Z13-031133320212>,\n",
       " <SelectTile of 10300100A67D3100 at Z13-031133320213>,\n",
       " <SelectTile of 10300100A9CC9200 at Z13-031133320213>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320213>,\n",
       " <SelectTile of 10300100A9547600 at Z13-031133320220>,\n",
       " <SelectTile of 10300100ACCDAB00 at Z13-031133320220>,\n",
       " <SelectTile of 10300100B2B49700 at Z13-031133320220>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320221>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320221>,\n",
       " <SelectTile of 10300100AB101A00 at Z13-031133320221>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320230>,\n",
       " <SelectTile of 10300100AA1C6800 at Z13-031133320230>,\n",
       " <SelectTile of 10300100AB101A00 at Z13-031133320230>,\n",
       " <SelectTile of 10300100A9CC9200 at Z13-031133320231>,\n",
       " <SelectTile of 10300100A67D3100 at Z13-031133320231>,\n",
       " <SelectTile of 10300100AC94D700 at Z13-031133320231>,\n",
       " <SelectTile of 10300100A9CC9200 at Z13-031133320300>,\n",
       " <SelectTile of 10300100B39ACD00 at Z13-031133320300>,\n",
       " <SelectTile of 10300100A9CC9200 at Z13-031133320301>,\n",
       " <SelectTile of 10300100A9CC9200 at Z13-031133320302>,\n",
       " <SelectTile of 10300100A67D3100 at Z13-031133320302>,\n",
       " <SelectTile of 10300100AD437400 at Z13-031133320302>,\n",
       " <SelectTile of 10300100A9CC9200 at Z13-031133320303>,\n",
       " <SelectTile of 10300100A67D3100 at Z13-031133320303>,\n",
       " <SelectTile of 10300100AD437400 at Z13-031133320303>,\n",
       " <SelectTile of 10300100A9CC9200 at Z13-031133320320>,\n",
       " <SelectTile of 10300100A67D3100 at Z13-031133320320>,\n",
       " <SelectTile of 10300100AD437400 at Z13-031133320320>,\n",
       " <SelectTile of 10300100A67D3100 at Z13-031133320321>,\n",
       " <SelectTile of 10300100A9CC9200 at Z13-031133320321>,\n",
       " <SelectTile of 10300100AD437400 at Z13-031133320321>]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.tiles"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A `stack` is a collection of all of the ARD tiles covering a given cell. We can look at all of the stacks via `.stacks`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<Stack at Z13-031133231113 [<SelectTile of 10300100B3841C00>]>,\n",
       " <Stack at Z13-031133231131 [<SelectTile of 10300100B3841C00>]>,\n",
       " <Stack at Z13-031133231133 [<SelectTile of 10300100B3841C00>]>,\n",
       " <Stack at Z13-031133231311 [<SelectTile of 10300100B3841C00>]>,\n",
       " <Stack at Z13-031133231313 [<SelectTile of 10300100B3841C00>]>,\n",
       " <Stack at Z13-031133231331 [<SelectTile of 10300100B3841C00>]>,\n",
       " <Stack at Z13-031133320001 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>]>,\n",
       " <Stack at Z13-031133320002 [<SelectTile of 10300100B2B49700>]>,\n",
       " <Stack at Z13-031133320003 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>, <SelectTile of 10300100AB101A00>]>,\n",
       " <Stack at Z13-031133320010 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>]>,\n",
       " <Stack at Z13-031133320011 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>]>,\n",
       " <Stack at Z13-031133320012 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>, <SelectTile of 10300100AB101A00>]>,\n",
       " <Stack at Z13-031133320013 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>, <SelectTile of 10300100B39ACD00>]>,\n",
       " <Stack at Z13-031133320020 [<SelectTile of 10300100B2B49700>]>,\n",
       " <Stack at Z13-031133320021 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>, <SelectTile of 10300100AB101A00>]>,\n",
       " <Stack at Z13-031133320022 [<SelectTile of 10300100B2B49700>]>,\n",
       " <Stack at Z13-031133320023 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>, <SelectTile of 10300100AB101A00>]>,\n",
       " <Stack at Z13-031133320030 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>, <SelectTile of 10300100AB101A00>]>,\n",
       " <Stack at Z13-031133320031 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>, <SelectTile of 10300100AB101A00>]>,\n",
       " <Stack at Z13-031133320032 [<SelectTile of 10300100AB101A00>, <SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>]>,\n",
       " <Stack at Z13-031133320033 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>, <SelectTile of 10300100AB101A00>]>,\n",
       " <Stack at Z13-031133320102 [<SelectTile of 10300100B39ACD00>]>,\n",
       " <Stack at Z13-031133320103 [<SelectTile of 10300100B39ACD00>]>,\n",
       " <Stack at Z13-031133320120 [<SelectTile of 10300100B39ACD00>]>,\n",
       " <Stack at Z13-031133320121 [<SelectTile of 10300100B39ACD00>]>,\n",
       " <Stack at Z13-031133320122 [<SelectTile of 10300100B39ACD00>]>,\n",
       " <Stack at Z13-031133320200 [<SelectTile of 10300100B2B49700>]>,\n",
       " <Stack at Z13-031133320201 [<SelectTile of 10300100AA1C6800>, <SelectTile of 10300100AC94D700>, <SelectTile of 10300100AB101A00>]>,\n",
       " <Stack at Z13-031133320202 [<SelectTile of 10300100B2B49700>]>,\n",
       " <Stack at Z13-031133320203 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>, <SelectTile of 10300100AB101A00>]>,\n",
       " <Stack at Z13-031133320210 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>, <SelectTile of 10300100AB101A00>]>,\n",
       " <Stack at Z13-031133320211 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>, <SelectTile of 10300100AB101A00>]>,\n",
       " <Stack at Z13-031133320212 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>, <SelectTile of 10300100AB101A00>]>,\n",
       " <Stack at Z13-031133320213 [<SelectTile of 10300100A67D3100>, <SelectTile of 10300100A9CC9200>, <SelectTile of 10300100AC94D700>]>,\n",
       " <Stack at Z13-031133320220 [<SelectTile of 10300100A9547600>, <SelectTile of 10300100ACCDAB00>, <SelectTile of 10300100B2B49700>]>,\n",
       " <Stack at Z13-031133320221 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>, <SelectTile of 10300100AB101A00>]>,\n",
       " <Stack at Z13-031133320230 [<SelectTile of 10300100AC94D700>, <SelectTile of 10300100AA1C6800>, <SelectTile of 10300100AB101A00>]>,\n",
       " <Stack at Z13-031133320231 [<SelectTile of 10300100A9CC9200>, <SelectTile of 10300100A67D3100>, <SelectTile of 10300100AC94D700>]>,\n",
       " <Stack at Z13-031133320300 [<SelectTile of 10300100A9CC9200>, <SelectTile of 10300100B39ACD00>]>,\n",
       " <Stack at Z13-031133320301 [<SelectTile of 10300100A9CC9200>]>,\n",
       " <Stack at Z13-031133320302 [<SelectTile of 10300100A9CC9200>, <SelectTile of 10300100A67D3100>, <SelectTile of 10300100AD437400>]>,\n",
       " <Stack at Z13-031133320303 [<SelectTile of 10300100A9CC9200>, <SelectTile of 10300100A67D3100>, <SelectTile of 10300100AD437400>]>,\n",
       " <Stack at Z13-031133320320 [<SelectTile of 10300100A9CC9200>, <SelectTile of 10300100A67D3100>, <SelectTile of 10300100AD437400>]>,\n",
       " <Stack at Z13-031133320321 [<SelectTile of 10300100A67D3100>, <SelectTile of 10300100A9CC9200>, <SelectTile of 10300100AD437400>]>]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.stacks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "An `Acquisition` is a collection of all of the ARD tiles from a common acquisition. All of the acquisitions in a stack can be accessed via `.acquisitions`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<Acquisition of 10300100B3841C00 [<SelectTile at Z13-031133231113>, <SelectTile at Z13-031133231131>, <SelectTile at Z13-031133231133>, <SelectTile at Z13-031133231311>, <SelectTile at Z13-031133231313>, <SelectTile at Z13-031133231331>]>,\n",
       " <Acquisition of 10300100AC94D700 [<SelectTile at Z13-031133320001>, <SelectTile at Z13-031133320003>, <SelectTile at Z13-031133320010>, <SelectTile at Z13-031133320011>, <SelectTile at Z13-031133320012>, <SelectTile at Z13-031133320013>, <SelectTile at Z13-031133320021>, <SelectTile at Z13-031133320023>, <SelectTile at Z13-031133320030>, <SelectTile at Z13-031133320031>, <SelectTile at Z13-031133320032>, <SelectTile at Z13-031133320033>, <SelectTile at Z13-031133320201>, <SelectTile at Z13-031133320203>, <SelectTile at Z13-031133320210>, <SelectTile at Z13-031133320211>, <SelectTile at Z13-031133320212>, <SelectTile at Z13-031133320213>, <SelectTile at Z13-031133320221>, <SelectTile at Z13-031133320230>, <SelectTile at Z13-031133320231>]>,\n",
       " <Acquisition of 10300100AA1C6800 [<SelectTile at Z13-031133320001>, <SelectTile at Z13-031133320003>, <SelectTile at Z13-031133320010>, <SelectTile at Z13-031133320011>, <SelectTile at Z13-031133320012>, <SelectTile at Z13-031133320013>, <SelectTile at Z13-031133320021>, <SelectTile at Z13-031133320023>, <SelectTile at Z13-031133320030>, <SelectTile at Z13-031133320031>, <SelectTile at Z13-031133320032>, <SelectTile at Z13-031133320033>, <SelectTile at Z13-031133320201>, <SelectTile at Z13-031133320203>, <SelectTile at Z13-031133320210>, <SelectTile at Z13-031133320211>, <SelectTile at Z13-031133320212>, <SelectTile at Z13-031133320221>, <SelectTile at Z13-031133320230>]>,\n",
       " <Acquisition of 10300100B2B49700 [<SelectTile at Z13-031133320002>, <SelectTile at Z13-031133320020>, <SelectTile at Z13-031133320022>, <SelectTile at Z13-031133320200>, <SelectTile at Z13-031133320202>, <SelectTile at Z13-031133320220>]>,\n",
       " <Acquisition of 10300100AB101A00 [<SelectTile at Z13-031133320003>, <SelectTile at Z13-031133320012>, <SelectTile at Z13-031133320021>, <SelectTile at Z13-031133320023>, <SelectTile at Z13-031133320030>, <SelectTile at Z13-031133320031>, <SelectTile at Z13-031133320032>, <SelectTile at Z13-031133320033>, <SelectTile at Z13-031133320201>, <SelectTile at Z13-031133320203>, <SelectTile at Z13-031133320210>, <SelectTile at Z13-031133320211>, <SelectTile at Z13-031133320212>, <SelectTile at Z13-031133320221>, <SelectTile at Z13-031133320230>]>,\n",
       " <Acquisition of 10300100B39ACD00 [<SelectTile at Z13-031133320013>, <SelectTile at Z13-031133320102>, <SelectTile at Z13-031133320103>, <SelectTile at Z13-031133320120>, <SelectTile at Z13-031133320121>, <SelectTile at Z13-031133320122>, <SelectTile at Z13-031133320300>]>,\n",
       " <Acquisition of 10300100A67D3100 [<SelectTile at Z13-031133320213>, <SelectTile at Z13-031133320231>, <SelectTile at Z13-031133320302>, <SelectTile at Z13-031133320303>, <SelectTile at Z13-031133320320>, <SelectTile at Z13-031133320321>]>,\n",
       " <Acquisition of 10300100A9CC9200 [<SelectTile at Z13-031133320213>, <SelectTile at Z13-031133320231>, <SelectTile at Z13-031133320300>, <SelectTile at Z13-031133320301>, <SelectTile at Z13-031133320302>, <SelectTile at Z13-031133320303>, <SelectTile at Z13-031133320320>, <SelectTile at Z13-031133320321>]>,\n",
       " <Acquisition of 10300100A9547600 [<SelectTile at Z13-031133320220>]>,\n",
       " <Acquisition of 10300100ACCDAB00 [<SelectTile at Z13-031133320220>]>,\n",
       " <Acquisition of 10300100AD437400 [<SelectTile at Z13-031133320302>, <SelectTile at Z13-031133320303>, <SelectTile at Z13-031133320320>, <SelectTile at Z13-031133320321>]>]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.acquisitions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Acquisitions\n",
    "\n",
    "`Acquisitions` is a list and can be iterated or indexed. You can also get a specific acquisition from the results using `get_acquisition()` and an acquisition ID."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Acquisition of 10300100B3841C00 [<SelectTile at Z13-031133231113>, <SelectTile at Z13-031133231131>, <SelectTile at Z13-031133231133>, <SelectTile at Z13-031133231311>, <SelectTile at Z13-031133231313>, <SelectTile at Z13-031133231331>]>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acquisition = results.acquisitions[0]\n",
    "acquisition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Acquisition of 10300100B3841C00 [<SelectTile at Z13-031133231113>, <SelectTile at Z13-031133231131>, <SelectTile at Z13-031133231133>, <SelectTile at Z13-031133231311>, <SelectTile at Z13-031133231313>, <SelectTile at Z13-031133231331>]>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.get_acquisition('10300100B3841C00')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Acquisition` objects also have a shorter `str` representation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Acquisition at 10300100B3841C00 (6 tiles)>\n"
     ]
    }
   ],
   "source": [
    "print(acquisition)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "They also support the Python Geospatial Interface:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-106.82702789238435 35.08345719865485 0.08254290098500405 0.29288695297255174\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,70.45980135028225)\"><g><path fill-rule=\"evenodd\" fill=\"#ff3333\" stroke=\"#555555\" stroke-width=\"0.005857739059451035\" opacity=\"0.6\" d=\"M -106.76019005178397,35.32043318486422 L -106.76116801661404,35.36549648670249 L -106.81618022745944,35.36468200254137 L -106.81517175499748,35.319620049054514 L -106.76019005178397,35.32043318486422 z\" /><path fill-rule=\"evenodd\" fill=\"#ff3333\" stroke=\"#555555\" stroke-width=\"0.005857739059451035\" opacity=\"0.6\" d=\"M -106.75921425523927,35.27536952295542 L -106.76019005178397,35.32043318486422 L -106.81517175499748,35.319620049054514 L -106.8141655183937,35.2745577340283 L -106.75921425523927,35.27536952295542 z\" /><path fill-rule=\"evenodd\" fill=\"#ff3333\" stroke=\"#555555\" stroke-width=\"0.005857739059451035\" opacity=\"0.6\" d=\"M -106.75824062218803,35.230305501224 L -106.75921425523927,35.27536952295542 L -106.8141655183937,35.2745577340283 L -106.81316151270723,35.22949505771478 L -106.75824062218803,35.230305501224 z\" /><path fill-rule=\"evenodd\" fill=\"#ff3333\" stroke=\"#555555\" stroke-width=\"0.005857739059451035\" opacity=\"0.6\" d=\"M -106.75726914785493,35.1852411199185 L -106.75824062218803,35.230305501224 L -106.81316151270723,35.22949505771478 L -106.8121597330142,35.184432020366565 L -106.75726914785493,35.1852411199185 z\" /><path fill-rule=\"evenodd\" fill=\"#ff3333\" stroke=\"#555555\" stroke-width=\"0.005857739059451035\" opacity=\"0.6\" d=\"M -106.75629982748113,35.14017637928809 L -106.75726914785493,35.1852411199185 L -106.8121597330142,35.184432020366565 L -106.81116017440785,35.13936862223692 L -106.75629982748113,35.14017637928809 z\" /><path fill-rule=\"evenodd\" fill=\"#ff3333\" stroke=\"#555555\" stroke-width=\"0.005857739059451035\" opacity=\"0.6\" d=\"M -106.75533265632426,35.0951112795826 L -106.75629982748113,35.14017637928809 L -106.81116017440785,35.13936862223692 L -106.8101628319983,35.09430486357976 L -106.75533265632426,35.0951112795826 z\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.multipolygon.MultiPolygon at 0x1219cd8b0>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shape(acquisition)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As well as have some summary properties:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'acquisition_id': '10300100B3841C00',\n",
       " 'platform': 'worldview-02',\n",
       " 'datetime': '2021-01-16T18:02:57.170983Z'}"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acquisition.properties"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stacks\n",
    "\n",
    "Stacks have similar qualities with the exception of `properties`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Stack at Z13-031133231113 [<SelectTile of 10300100B3841C00>]>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stack = results.stacks[0]\n",
    "stack"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Stack at Z13-031133231113 [<SelectTile of 10300100B3841C00>]>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.get_stack('Z13-031133231113')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Stack at Z13-031133231113 (1 tiles)>\n"
     ]
    }
   ],
   "source": [
    "print(stack)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-106.81841983448646 35.31738044202749 0.06046938972951921 0.050355651702020054\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,70.685116535757)\"><g><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.001209387794590384\" opacity=\"0.6\" d=\"M -106.76019005178397,35.32043318486422 L -106.76116801661404,35.36549648670249 L -106.81618022745944,35.36468200254137 L -106.81517175499748,35.319620049054514 L -106.76019005178397,35.32043318486422 z\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.multipolygon.MultiPolygon at 0x121a273d0>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shape(stack)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tiles\n",
    "\n",
    "A `SelectTile` object represents an ARD Tile picked by the Select service.\n",
    "\n",
    "`Stack` and `Acquisition` objects are also lists, and you can also get a specific tile from a SelectResult by acquisition ID and cell:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<SelectTile of 10300100B3841C00 at Z13-031133231113>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tile = stack[0]\n",
    "tile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<SelectTile of 10300100B3841C00 at Z13-031133231113>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.get_tile('10300100B3841C00', 'Z13-031133231113')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also get tiles from `Stack`s and `Acquisition`s:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<SelectTile of 10300100B3841C00 at Z13-031133231113>\n",
      "<SelectTile of 10300100B3841C00 at Z13-031133231113>\n"
     ]
    }
   ],
   "source": [
    "print(stack.get_tile_from_acquisition('10300100B3841C00'))\n",
    "print(acquisition.get_tile_from_cell('Z13-031133231113'))    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A `SelectTile` has attributes for the acquisition ID, the `maxar_canvas_grid` `Cell` object it covers, and a `properties` with image metadata. Like the other objects it supports the Python Geospatial Protocol:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('10300100B3841C00', <Cell Z13-031133231113>)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tile.acq_id, tile.cell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'off_nadir_min': 7.4760494,\n",
       " 'view:sun_azimuth': 159.54324333333332,\n",
       " 'acquisition_id': '10300100B3841C00',\n",
       " 'pan_resolution_max': 0.47500458,\n",
       " 'date': '2021-01-16',\n",
       " 'datetime': '2021-01-16T18:02:57.170983Z',\n",
       " 'constellation': 'digitalglobe',\n",
       " 'tile:cloud_free_percentage': 100.0,\n",
       " 'id': '10300100B3841C00',\n",
       " 'pan_resolution_avg': 0.47164591166666664,\n",
       " 'pan_resolution_min': 0.47035816,\n",
       " 'modified': '2021-05-18T01:07:33Z',\n",
       " 'view:sun_elevation': 31.5245595,\n",
       " 'tile:cloud_percentage': 0.0,\n",
       " 'multi_resolution_avg': 1.8871270166666667,\n",
       " 'multi_resolution_min': 1.8817121,\n",
       " 'view:off_nadir': 8.159726833333334,\n",
       " 'tile:data_percentage': 100.0,\n",
       " 'off_nadir_max': 9.683383,\n",
       " 'tile:cloud_polys': None,\n",
       " 'platform': 'worldview-02',\n",
       " 'multi_resolution_max': 1.9010458,\n",
       " 'eo:cloud_cover': 1.3208534224506887,\n",
       " 'tile:quadkey': '031133231113',\n",
       " 'view:azimuth': 111.309445,\n",
       " 'instruments': ['VNIR'],\n",
       " 'tile:zone': 13,\n",
       " 'wkt': 'POLYGON ((-106.760190051784 35.32043318486422, -106.8151717549975 35.31962004905451, -106.8161802274594 35.36468200254137, -106.761168016614 35.36549648670249, -106.760190051784 35.32043318486422))',\n",
       " 'tile:no_data_percentage': 0.0,\n",
       " 'aoi:data_area_sqkm': 18,\n",
       " 'aoi:data_percentage': 100,\n",
       " 'aoi:cloud_free_percentage': 100}"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tile.properties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-106.81841983448642 35.31738044202749 0.06046938972944815 0.05035565170201295\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,70.685116535757)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0012093877945889631\" opacity=\"0.6\" d=\"M -106.760190051784,35.32043318486422 L -106.8151717549975,35.31962004905451 L -106.8161802274594,35.36468200254137 L -106.761168016614,35.36549648670249 L -106.760190051784,35.32043318486422 z\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x10288f6a0>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shape(tile)"
   ]
  }
 ],
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