04_naip_downloader.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## This script is used to download the NAIP images automatically\n",
    "This script will download the Natural color NAIP images and the false color NAIP images. The script will download the NAIP from a database maintained by Microsoft. We need to download NAIP tiles first before doing any raster based operations, like, mosaci, clip, mask, etc.\n",
    "\n",
    "Modifed by Xiaojiang Li, Temple University on Feb 11, 2022"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Setup the certificate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/lee/miniconda3/envs/geospatial/lib/python3.8/site-packages/certifi/cacert.pem\n"
     ]
    }
   ],
   "source": [
    "import certifi\n",
    "\n",
    "cert = certifi.where()\n",
    "print(cert)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import required module\n",
    "Copy the location of the certificate to the line 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Standard packages\n",
    "import tempfile\n",
    "import warnings\n",
    "import urllib\n",
    "import shutil\n",
    "import os\n",
    "import fiona\n",
    "# Workaround for a problem in older rasterio versions\n",
    "# os.environ[\"CURL_CA_BUNDLE\"] = \"/etc/ssl/certs/ca-certificates.crt\" \n",
    "os.environ[\"CURL_CA_BUNDLE\"] = cert\n",
    "\n",
    "# Less standard, but still pip- or conda-installable\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import rasterio\n",
    "import rtree\n",
    "import shapely\n",
    "import pickle\n",
    "import progressbar\n",
    "\n",
    "# from geopy.geocoders import Nominatim\n",
    "from rasterio.windows import Window \n",
    "from tqdm import tqdm\n",
    "\n",
    "latest_wkid = 3857\n",
    "crs = \"EPSG:4326\"\n",
    "\n",
    "\n",
    "# Storage locations are documented at http://aka.ms/ai4edata-naip\n",
    "blob_root = 'https://naipblobs.blob.core.windows.net/naip'\n",
    "\n",
    "index_files = [\"tile_index.dat\", \"tile_index.idx\", \"tiles.p\"]\n",
    "index_blob_root = 'https://naipblobs.blob.core.windows.net/naip-index/rtree/'\n",
    "temp_dir = os.path.join(tempfile.gettempdir(),'naip')\n",
    "os.makedirs(temp_dir,exist_ok=True)\n",
    "\n",
    "# Spatial index that maps lat/lon to NAIP tiles; we'll load this when we first \n",
    "# need to access it.\n",
    "index = None\n",
    "\n",
    "# URL where we've stashed a geojson file with the boundaries of Maryland.  Why do we\n",
    "# need the boundaries of Maryland?  It's a surprise, you'll have to keep reading to find\n",
    "# out.\n",
    "maryland_boundary_url = 'https://ai4edatasetspublicassets.blob.core.windows.net/assets/maryland.json'\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The core Python class to do data collection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "class DownloadProgressBar():\n",
    "    \"\"\"\n",
    "    https://stackoverflow.com/questions/37748105/how-to-use-progressbar-module-with-urlretrieve\n",
    "    \"\"\"\n",
    "    \n",
    "    def __init__(self):\n",
    "        self.pbar = None\n",
    "\n",
    "    def __call__(self, block_num, block_size, total_size):\n",
    "        if not self.pbar:\n",
    "            self.pbar = progressbar.ProgressBar(max_value=total_size)\n",
    "            self.pbar.start()\n",
    "            \n",
    "        downloaded = block_num * block_size\n",
    "        if downloaded < total_size:\n",
    "            self.pbar.update(downloaded)\n",
    "        else:\n",
    "            self.pbar.finish()\n",
    "            \n",
    "\n",
    "class NAIPTileIndex:\n",
    "    \"\"\"\n",
    "    Utility class for performing NAIP tile lookups by location.\n",
    "    \"\"\"\n",
    " \n",
    "    # These variables don't appear to do anything. Values are set in __init__. (LH 2023-01-16)\n",
    "#     tile_rtree = None\n",
    "#     tile_index = None\n",
    "#     base_path = None\n",
    "    \n",
    "    def __init__(self, base_path=None):\n",
    "        \n",
    "        if base_path is None:\n",
    "            base_path = temp_dir\n",
    "            os.makedirs(base_path, exist_ok=True)\n",
    "            print('base_path:', base_path)\n",
    "            \n",
    "            for file_path in index_files:\n",
    "                print('the rtree basepath is:', index_blob_root + file_path)\n",
    "                download_url(index_blob_root + file_path, base_path + '/' + file_path,\n",
    "                             progress_updater=DownloadProgressBar())\n",
    "                \n",
    "                print(base_path + '/' + file_path)\n",
    "                \n",
    "        self.base_path = base_path\n",
    "        self.tile_rtree = rtree.index.Index(base_path + \"/tile_index\")\n",
    "        self.tile_index = pickle.load(open(base_path  + \"/tiles.p\", \"rb\"))\n",
    "      \n",
    "    \n",
    "    def lookup_tile(self, lat, lon):\n",
    "        \"\"\"\"\n",
    "        Given a lat/lon coordinate pair, return the list of NAIP tiles that contain\n",
    "        that location.\n",
    "\n",
    "        Returns an array containing [mrf filename, idx filename, lrc filename].\n",
    "        \"\"\"\n",
    "        \n",
    "        from shapely.geometry import Point\n",
    "        \n",
    "#         point = shapely.geometry.Point(float(lon),float(lat))\n",
    "        point = Point(float(lon), float(lat))\n",
    "        \n",
    "        intersected_indices = list(self.tile_rtree.intersection(point.bounds))\n",
    "        \n",
    "        intersected_files = []\n",
    "        tile_intersection = False\n",
    "\n",
    "        for idx in intersected_indices:\n",
    "\n",
    "            intersected_file = self.tile_index[idx][0]\n",
    "            intersected_geom = self.tile_index[idx][1]\n",
    "            if intersected_geom.contains(point):\n",
    "                tile_intersection = True\n",
    "                intersected_files.append(intersected_file)\n",
    "\n",
    "        if not tile_intersection and len(intersected_indices) > 0:\n",
    "            print('''Error: there are overlaps with tile index, \n",
    "                      but no tile completely contains selection''')   \n",
    "            return None\n",
    "        elif len(intersected_files) <= 0:\n",
    "            print(\"No tile intersections\")\n",
    "            return None\n",
    "        else:\n",
    "            return intersected_files\n",
    "        \n",
    "    \n",
    "    \n",
    "    def lookup_tile_bound(self, top, bottom, left, right):\n",
    "        \"\"\"\"\n",
    "        Given a polygon bound coordinate pair, return the list of NAIP tiles that intersect the bound.\n",
    "\n",
    "        Returns an array containing [mrf filename, idx filename, lrc filename].\n",
    "        \"\"\"\n",
    "        \n",
    "        from shapely.geometry import Polygon\n",
    "        \n",
    "        bound_box = Polygon([(left, bottom), \\\n",
    "                              (left, top), \\\n",
    "                              (right, top), \\\n",
    "                              (right, bottom)])\n",
    "        \n",
    "        intersected_indices = list(self.tile_rtree.intersection(bound_box.bounds))\n",
    "        #print(intersected_indices)\n",
    "        intersected_files = []\n",
    "        tile_intersection = False\n",
    "\n",
    "        for idx in intersected_indices:\n",
    "            intersected_file = self.tile_index[idx][0]\n",
    "            intersected_geom = self.tile_index[idx][1]\n",
    "            if intersected_geom.intersects(bound_box):\n",
    "                tile_intersection = True\n",
    "                intersected_files.append(intersected_file)\n",
    "        \n",
    "        if not tile_intersection and len(intersected_indices) > 0:\n",
    "            print('''Error: there are overlaps with tile index, \n",
    "                      but no tile completely contains selection''')   \n",
    "            return None\n",
    "        elif len(intersected_files) <= 0:\n",
    "            print(\"No tile intersections\")\n",
    "            return None\n",
    "        else:\n",
    "            return intersected_files\n",
    "        \n",
    "        \n",
    "    def lookup_tile_shape(self, geom):\n",
    "        \"\"\"\"\n",
    "        Given a boundary shapefile, return the list of NAIP tiles that intersect the shapefile.\n",
    "\n",
    "        Returns an array containing [mrf filename, idx filename, lrc filename].\n",
    "        \n",
    "        geom is the geom of the shape read from shapefile\n",
    "        \"\"\"\n",
    "        \n",
    "        from shapely.geometry import Polygon\n",
    "        \n",
    "        intersected_indices = list(self.tile_rtree.intersection(geom.bounds))\n",
    "        #print(intersected_indices)\n",
    "        intersected_files = []\n",
    "        tile_intersection = False\n",
    "        \n",
    "        for idx in intersected_indices:\n",
    "            intersected_file = self.tile_index[idx][0]\n",
    "            intersected_geom = self.tile_index[idx][1]\n",
    "            if intersected_geom.intersects(geom):\n",
    "                tile_intersection = True\n",
    "                intersected_files.append(intersected_file)\n",
    "        \n",
    "        if not tile_intersection and len(intersected_indices) > 0:\n",
    "            print('''Error: there are overlaps with tile index, \n",
    "                      but no tile completely contains selection''')   \n",
    "            return None\n",
    "        elif len(intersected_files) <= 0:\n",
    "            print(\"No tile intersections\")\n",
    "            return None\n",
    "        else:\n",
    "            return intersected_files\n",
    "\n",
    "            \n",
    "def download_url(url, destination_filename=None, progress_updater=None, force_download=False):\n",
    "    \"\"\"\n",
    "    Download a URL to a temporary file\n",
    "    \"\"\"\n",
    "    \n",
    "    # This is not intended to guarantee uniqueness, we just know it happens to guarantee\n",
    "    # uniqueness for this application.\n",
    "    if destination_filename is None:\n",
    "        url_as_filename = url.replace('://', '_').replace('/', '_')    \n",
    "        destination_filename = \\\n",
    "            os.path.join(temp_dir,url_as_filename)\n",
    "    if (not force_download) and (os.path.isfile(destination_filename)):\n",
    "        print('Bypassing download of already-downloaded file {}'.format(os.path.basename(url)))\n",
    "        return destination_filename\n",
    "    print('Downloading file {} to {}'.format(os.path.basename(url),destination_filename),end='')\n",
    "    \n",
    "    \n",
    "#     urllib.request.urlretrieve(url, destination_filename, progress_updater) \n",
    "    urllib.request.urlretrieve(url, destination_filename) \n",
    "    print('destination is:==========', destination_filename)\n",
    "    assert(os.path.isfile(destination_filename))\n",
    "    nBytes = os.path.getsize(destination_filename)\n",
    "    print(f\"...done, {nBytes} bytes.\")\n",
    "    return destination_filename\n",
    "    \n",
    "\n",
    "def display_naip_tile(filename):\n",
    "    \"\"\"\n",
    "    Display a NAIP tile using rasterio.\n",
    "    \n",
    "    For .mrf-formatted tiles (which span multiple files), 'filename' should refer to the \n",
    "    .mrf file.\n",
    "    \"\"\"\n",
    "    \n",
    "    # NAIP tiles are enormous; downsize for plotting in this notebook\n",
    "    dsfactor = 10\n",
    "    \n",
    "    with rasterio.open(filename) as raster:\n",
    "        \n",
    "        # NAIP imagery has four channels: R, G, B, IR\n",
    "        #\n",
    "        # Stack RGB channels into an image; we won't try to render the IR channel\n",
    "        #\n",
    "        # rasterio uses 1-based indexing for channels.\n",
    "        h = int(raster.height/dsfactor)\n",
    "        w = int(raster.width/dsfactor)\n",
    "        print(f\"Resampling to {h},{w}\")\n",
    "        r = raster.read(1, out_shape=(1, h, w))\n",
    "        g = raster.read(2, out_shape=(1, h, w))\n",
    "        b = raster.read(3, out_shape=(1, h, w))\n",
    "        ir = raster.read(4, out_shape=(1, h, w))\n",
    "    #rgb = np.dstack((r,g,b))\n",
    "    cir = np.dstack((ir,r,g))\n",
    "    fig = plt.figure(figsize=(7.5, 7.5), dpi=100, edgecolor='k')\n",
    "    #plt.imshow(rgb)\n",
    "    plt.imshow(cir)\n",
    "    raster.close()\n",
    "\n",
    "    \n",
    "def get_coordinates_from_address(address):\n",
    "    \"\"\"\n",
    "    Look up the lat/lon coordinates for an address.\n",
    "    \"\"\"\n",
    "    \n",
    "    geolocator = Nominatim(user_agent=\"NAIP\")\n",
    "    location = geolocator.geocode(address)\n",
    "    print('Retrieving location for address:\\n{}'.format(location.address))\n",
    "    return location.latitude, location.longitude\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using the city boundary shapefile to get the lists of available NAIP tiles\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read the geom of the philadelphia city bounary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "base_path: /tmp/naip\n",
      "the rtree basepath is: https://naipblobs.blob.core.windows.net/naip-index/rtree/tile_index.dat\n",
      "Downloading file tile_index.dat to /tmp/naip/tile_index.dat"
     ]
    },
    {
     "ename": "HTTPError",
     "evalue": "HTTP Error 409: Public access is not permitted on this storage account.",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mHTTPError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m/tmp/ipykernel_3333915/3439161819.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mshapely\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mops\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mindex\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mNAIPTileIndex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;31m# base='data/' # Redefined below, not used in this cell (LH 2023-01-16)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/tmp/ipykernel_3333915/3448218631.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, base_path)\u001b[0m\n\u001b[1;32m     38\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mfile_path\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mindex_files\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     39\u001b[0m                 \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'the rtree basepath is:'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex_blob_root\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mfile_path\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 40\u001b[0;31m                 download_url(index_blob_root + file_path, base_path + '/' + file_path,\n\u001b[0m\u001b[1;32m     41\u001b[0m                              progress_updater=DownloadProgressBar())\n\u001b[1;32m     42\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/tmp/ipykernel_3333915/3448218631.py\u001b[0m in \u001b[0;36mdownload_url\u001b[0;34m(url, destination_filename, progress_updater, force_download)\u001b[0m\n\u001b[1;32m    175\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    176\u001b[0m \u001b[0;31m#     urllib.request.urlretrieve(url, destination_filename, progress_updater)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 177\u001b[0;31m     \u001b[0murllib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murlretrieve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdestination_filename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    178\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'destination is:=========='\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdestination_filename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    179\u001b[0m     \u001b[0;32massert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misfile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdestination_filename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/envs/geospatial/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36murlretrieve\u001b[0;34m(url, filename, reporthook, data)\u001b[0m\n\u001b[1;32m    245\u001b[0m     \u001b[0murl_type\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpath\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_splittype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    246\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 247\u001b[0;31m     \u001b[0;32mwith\u001b[0m \u001b[0mcontextlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosing\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murlopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mfp\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    248\u001b[0m         \u001b[0mheaders\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    249\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/envs/geospatial/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36murlopen\u001b[0;34m(url, data, timeout, cafile, capath, cadefault, context)\u001b[0m\n\u001b[1;32m    220\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    221\u001b[0m         \u001b[0mopener\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_opener\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 222\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mopener\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    223\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    224\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0minstall_opener\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mopener\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/envs/geospatial/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36mopen\u001b[0;34m(self, fullurl, data, timeout)\u001b[0m\n\u001b[1;32m    529\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mprocessor\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprocess_response\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprotocol\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    530\u001b[0m             \u001b[0mmeth\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprocessor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmeth_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 531\u001b[0;31m             \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmeth\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreq\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    532\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    533\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/envs/geospatial/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36mhttp_response\u001b[0;34m(self, request, response)\u001b[0m\n\u001b[1;32m    638\u001b[0m         \u001b[0;31m# request was successfully received, understood, and accepted.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    639\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m200\u001b[0m \u001b[0;34m<=\u001b[0m \u001b[0mcode\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m300\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 640\u001b[0;31m             response = self.parent.error(\n\u001b[0m\u001b[1;32m    641\u001b[0m                 'http', request, response, code, msg, hdrs)\n\u001b[1;32m    642\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/envs/geospatial/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36merror\u001b[0;34m(self, proto, *args)\u001b[0m\n\u001b[1;32m    567\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mhttp_err\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    568\u001b[0m             \u001b[0margs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'default'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'http_error_default'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0morig_args\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 569\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_call_chain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    570\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    571\u001b[0m \u001b[0;31m# XXX probably also want an abstract factory that knows when it makes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/envs/geospatial/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36m_call_chain\u001b[0;34m(self, chain, kind, meth_name, *args)\u001b[0m\n\u001b[1;32m    500\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mhandler\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mhandlers\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    501\u001b[0m             \u001b[0mfunc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhandler\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmeth_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 502\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    503\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    504\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/envs/geospatial/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36mhttp_error_default\u001b[0;34m(self, req, fp, code, msg, hdrs)\u001b[0m\n\u001b[1;32m    647\u001b[0m \u001b[0;32mclass\u001b[0m \u001b[0mHTTPDefaultErrorHandler\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mBaseHandler\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    648\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mhttp_error_default\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreq\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhdrs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 649\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mHTTPError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreq\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfull_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhdrs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    650\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    651\u001b[0m \u001b[0;32mclass\u001b[0m \u001b[0mHTTPRedirectHandler\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mBaseHandler\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mHTTPError\u001b[0m: HTTP Error 409: Public access is not permitted on this storage account."
     ]
    }
   ],
   "source": [
    "from shapely.geometry import shape, Point, Polygon, mapping\n",
    "import pyproj\n",
    "import fiona\n",
    "from functools import partial\n",
    "from shapely.ops import transform\n",
    "\n",
    "index = NAIPTileIndex()\n",
    "\n",
    "# base='data/' # Redefined below, not used in this cell (LH 2023-01-16)\n",
    "shapefile = 'data/city_limit.gpkg'\n",
    "# shapefile = 'data/City_of_Boston_Boundary.gpkg'\n",
    "\n",
    "\n",
    "layer = fiona.open(shapefile)\n",
    "for feat in layer:\n",
    "    geom = shape(feat['geometry'])\n",
    "\n",
    "print(layer.crs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "convert the Phily city limit geom from local projection to wgs84, and create folders for saving the satellite images.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "epsg = '2272' #Penn south, philadelphia\n",
    "# epsg = '2249' # Boston\n",
    "\n",
    "base='data/'\n",
    "\n",
    "epsgcode = 'epsg:%s'%(epsg)\n",
    "project = partial(\n",
    "    pyproj.transform,\n",
    "    pyproj.Proj(init=epsgcode), # source coordinate system #2279: houston, 6426 for sandiego\n",
    "    # pyproj.Proj(init='epsg:6426'), # source coordinate system #2279: houston, 6426 for sandiego\n",
    "    pyproj.Proj(init='epsg:4326')) # destination coordinate system\n",
    "\n",
    "\n",
    "g2 = transform(project, geom)  # apply projection\n",
    "\n",
    "# using the reprojected geom shape to find the corresponding tile\n",
    "naip_files = index.lookup_tile_shape(g2)\n",
    "\n",
    "nc_naips = os.path.join(base, 'nc-naip')\n",
    "cir_naips = os.path.join(base, 'cir-naip')\n",
    "\n",
    "if not os.path.exists(nc_naips): os.mkdir(nc_naips)\n",
    "if not os.path.exists(cir_naips): os.mkdir(cir_naips)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x165d1a6d0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " 'v002/pa/2013/pa_100cm_2013/39075/m_3907506_se_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/39075/m_3907506_se_18_1_20150815.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/39075/m_3907506_se_18_1_20170611.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/39075/m_3907506_se_18_060_20191019.tif',\n",
       " 'v002/nj/2019/nj_60cm_2019/39075/m_3907514_ne_18_060_20190726.tif',\n",
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       " 'v002/pa/2013/pa_100cm_2013/39075/m_3907506_ne_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/39075/m_3907506_ne_18_1_20150815.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/39075/m_3907506_ne_18_1_20170611.tif',\n",
       " 'v002/nj/2013/nj_100cm_2013/39075/m_3907514_ne_18_1_20130719.tif',\n",
       " 'v002/nj/2015/nj_100cm_2015/39075/m_3907514_ne_18_1_20150725.tif',\n",
       " 'v002/nj/2017/nj_100cm_2017/39075/m_3907514_ne_18_1_20170730.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/39075/m_3907514_ne_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/39075/m_3907514_ne_18_1_20150815.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/39075/m_3907514_ne_18_1_20170611.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/39075/m_3907514_ne_18_060_20191019.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/39075/m_3907506_ne_18_060_20191019.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/40075/m_4007562_ne_18_060_20191024.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/40075/m_4007562_ne_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/40075/m_4007562_ne_18_1_20150815.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/40075/m_4007562_ne_18_1_20170910.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/40075/m_4007562_ne_18_1_20100704.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/40075/m_4007563_nw_18_1_20100704.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/40075/m_4007563_nw_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/40075/m_4007563_nw_18_1_20150816.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/40075/m_4007562_se_18_060_20191019.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/40075/m_4007562_se_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/40075/m_4007562_se_18_1_20150815.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/40075/m_4007562_se_18_1_20170910.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/40075/m_4007562_se_18_1_20100704.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/40075/m_4007563_sw_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/40075/m_4007563_sw_18_1_20150816.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/40075/m_4007563_sw_18_1_20100704.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/40075/m_4007563_ne_18_1_20100704.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/40075/m_4007563_ne_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/40075/m_4007563_ne_18_1_20150816.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/40075/m_4007563_se_18_1_20100704.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/40075/m_4007563_se_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/40075/m_4007563_se_18_1_20150816.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/40075/m_4007564_nw_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/40075/m_4007564_nw_18_1_20150816.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/40075/m_4007564_nw_18_1_20100704.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/40075/m_4007564_sw_18_1_20100704.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/40075/m_4007564_sw_18_1_20130605.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/39075/m_3907508_ne_18_1_20100704.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/39075/m_3907508_ne_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/39075/m_3907508_ne_18_1_20150816.tif',\n",
       " 'v002/nj/2010/nj_100cm_2010/39075/m_3907508_nw_18_1_20100702.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/39075/m_3907508_nw_18_1_20100704.tif',\n",
       " 'v002/nj/2013/nj_100cm_2013/39075/m_3907508_nw_18_1_20130719.tif',\n",
       " 'v002/nj/2015/nj_100cm_2015/39075/m_3907508_nw_18_1_20150725.tif',\n",
       " 'v002/nj/2017/nj_100cm_2017/39075/m_3907508_nw_18_1_20170809.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/39075/m_3907508_nw_18_1_20170611.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/39075/m_3907508_nw_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/39075/m_3907508_nw_18_1_20150816.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/39075/m_3907508_nw_18_060_20191015.tif',\n",
       " 'v002/nj/2019/nj_60cm_2019/39075/m_3907508_nw_18_060_20190726.tif',\n",
       " 'v002/nj/2010/nj_100cm_2010/39075/m_3907508_ne_18_1_20100702.tif',\n",
       " 'v002/nj/2013/nj_100cm_2013/39075/m_3907508_ne_18_1_20130718.tif',\n",
       " 'v002/nj/2015/nj_100cm_2015/39075/m_3907508_ne_18_1_20150725.tif',\n",
       " 'v002/nj/2017/nj_100cm_2017/39075/m_3907508_ne_18_1_20170731.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/39075/m_3907508_ne_18_1_20170611.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/39075/m_3907508_ne_18_060_20191014.tif',\n",
       " 'v002/nj/2019/nj_60cm_2019/39075/m_3907508_ne_18_060_20190726.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/40075/m_4007563_sw_18_1_20170612.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/40075/m_4007563_nw_18_1_20170612.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/40075/m_4007563_se_18_1_20170612.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/40075/m_4007563_ne_18_1_20170612.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/40075/m_4007564_sw_18_1_20170611.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/40075/m_4007564_nw_18_1_20170612.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/40075/m_4007564_se_18_1_20170612.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/40075/m_4007564_ne_18_1_20170612.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/40075/m_4007556_se_18_1_20170801.tif',\n",
       " 'v002/nj/2019/nj_60cm_2019/40074/m_4007457_nw_18_060_20190730.tif',\n",
       " 'v002/nj/2019/nj_60cm_2019/40074/m_4007457_sw_18_060_20190730.tif',\n",
       " 'v002/nj/2013/nj_100cm_2013/40074/m_4007457_sw_18_1_20130715.tif',\n",
       " 'v002/nj/2015/nj_100cm_2015/40074/m_4007457_sw_18_1_20150725.tif',\n",
       " 'v002/nj/2017/nj_100cm_2017/40074/m_4007457_sw_18_1_20170824.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/40074/m_4007457_sw_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/40074/m_4007457_sw_18_1_20150816.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/40074/m_4007457_sw_18_1_20170612.tif',\n",
       " 'v002/nj/2013/nj_100cm_2013/40074/m_4007457_nw_18_1_20130715.tif',\n",
       " 'v002/nj/2015/nj_100cm_2015/40074/m_4007457_nw_18_1_20150802.tif',\n",
       " 'v002/nj/2017/nj_100cm_2017/40074/m_4007457_nw_18_1_20170824.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/40074/m_4007457_nw_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/40074/m_4007457_nw_18_1_20150816.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/40074/m_4007457_nw_18_1_20170612.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/40074/m_4007449_sw_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/40074/m_4007449_sw_18_1_20150816.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/40074/m_4007449_sw_18_1_20170612.tif',\n",
       " 'v002/nj/2010/nj_100cm_2010/40074/m_4007457_sw_18_1_20100703.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/40074/m_4007457_sw_18_1_20100704.tif',\n",
       " 'v002/nj/2010/nj_100cm_2010/40074/m_4007457_nw_18_1_20100703.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/40074/m_4007457_nw_18_1_20100704.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/40074/m_4007449_sw_18_1_20100704.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/40074/m_4007449_sw_18_060_20191014.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/40074/m_4007457_nw_18_060_20191014.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/40074/m_4007457_sw_18_060_20191014.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/40075/m_4007556_se_18_060_20191014.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/40075/m_4007564_sw_18_1_20150816.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/40075/m_4007564_ne_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/40075/m_4007564_ne_18_1_20150816.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/40075/m_4007564_ne_18_1_20100704.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/40075/m_4007556_se_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/40075/m_4007556_se_18_1_20150816.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/40075/m_4007556_se_18_1_20100704.tif',\n",
       " 'v002/nj/2013/nj_100cm_2013/40075/m_4007564_se_18_1_20130718.tif',\n",
       " 'v002/nj/2015/nj_100cm_2015/40075/m_4007564_se_18_1_20150725.tif',\n",
       " 'v002/nj/2017/nj_100cm_2017/40075/m_4007564_se_18_1_20170824.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/40075/m_4007564_se_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/40075/m_4007564_se_18_1_20150816.tif',\n",
       " 'v002/nj/2010/nj_100cm_2010/40075/m_4007564_se_18_1_20100702.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/40075/m_4007564_se_18_1_20100704.tif',\n",
       " 'v002/nj/2019/nj_60cm_2019/40075/m_4007564_se_18_060_20190730.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/40075/m_4007563_nw_18_060_20191024.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/40075/m_4007563_se_18_060_20191015.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/40075/m_4007563_ne_18_060_20191024.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/40075/m_4007563_sw_18_060_20191024.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/40075/m_4007564_ne_18_060_20191014.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/40075/m_4007564_nw_18_060_20191015.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/40075/m_4007564_sw_18_060_20191015.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/40075/m_4007564_se_18_060_20191014.tif',\n",
       " 'v002/nj/2010/nj_100cm_2010/39075/m_3907507_sw_18_1_20100702.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/39075/m_3907507_sw_18_1_20100704.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/39075/m_3907507_nw_18_1_20100704.tif',\n",
       " 'v002/nj/2010/nj_100cm_2010/39075/m_3907515_nw_18_1_20100702.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/39075/m_3907507_nw_18_1_20170611.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/39075/m_3907507_nw_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/39075/m_3907507_nw_18_1_20150816.tif',\n",
       " 'v002/nj/2013/nj_100cm_2013/39075/m_3907515_nw_18_1_20130719.tif',\n",
       " 'v002/nj/2015/nj_100cm_2015/39075/m_3907515_nw_18_1_20150725.tif',\n",
       " 'v002/nj/2017/nj_100cm_2017/39075/m_3907515_nw_18_1_20170730.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/39075/m_3907515_nw_18_1_20170611.tif',\n",
       " 'v002/nj/2013/nj_100cm_2013/39075/m_3907507_sw_18_1_20130719.tif',\n",
       " 'v002/nj/2015/nj_100cm_2015/39075/m_3907507_sw_18_1_20150725.tif',\n",
       " 'v002/nj/2017/nj_100cm_2017/39075/m_3907507_sw_18_1_20170730.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/39075/m_3907507_sw_18_1_20170611.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/39075/m_3907507_nw_18_060_20191019.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/39075/m_3907507_sw_18_060_20191019.tif',\n",
       " 'v002/nj/2019/nj_60cm_2019/39075/m_3907515_nw_18_060_20190726.tif',\n",
       " 'v002/nj/2019/nj_60cm_2019/39075/m_3907507_sw_18_060_20190726.tif',\n",
       " 'v002/nj/2010/nj_100cm_2010/39075/m_3907507_ne_18_1_20100702.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/39075/m_3907507_ne_18_1_20100704.tif',\n",
       " 'v002/nj/2010/nj_100cm_2010/39075/m_3907507_se_18_1_20100702.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/39075/m_3907507_se_18_1_20100704.tif',\n",
       " 'v002/nj/2013/nj_100cm_2013/39075/m_3907507_se_18_1_20130719.tif',\n",
       " 'v002/nj/2015/nj_100cm_2015/39075/m_3907507_se_18_1_20150725.tif',\n",
       " 'v002/nj/2017/nj_100cm_2017/39075/m_3907507_se_18_1_20170809.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/39075/m_3907507_se_18_1_20170611.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/39075/m_3907507_se_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/39075/m_3907507_se_18_1_20150816.tif',\n",
       " 'v002/nj/2013/nj_100cm_2013/39075/m_3907507_ne_18_1_20130719.tif',\n",
       " 'v002/nj/2015/nj_100cm_2015/39075/m_3907507_ne_18_1_20150725.tif',\n",
       " 'v002/nj/2017/nj_100cm_2017/39075/m_3907507_ne_18_1_20170809.tif',\n",
       " 'v002/pa/2017/pa_100cm_2017/39075/m_3907507_ne_18_1_20170611.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/39075/m_3907507_ne_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/39075/m_3907507_ne_18_1_20150816.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/39075/m_3907507_ne_18_060_20191015.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/39075/m_3907507_se_18_060_20191015.tif',\n",
       " 'v002/nj/2019/nj_60cm_2019/39075/m_3907507_se_18_060_20190726.tif',\n",
       " 'v002/nj/2019/nj_60cm_2019/39075/m_3907507_ne_18_060_20190726.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/39075/m_3907507_sw_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/39075/m_3907507_sw_18_1_20150816.tif',\n",
       " 'v002/pa/2013/pa_100cm_2013/39075/m_3907515_nw_18_1_20130605.tif',\n",
       " 'v002/pa/2015/pa_100cm_2015/39075/m_3907515_nw_18_1_20150816.tif',\n",
       " 'v002/pa/2010/pa_100cm_2010/39075/m_3907515_nw_18_1_20100704.tif',\n",
       " 'v002/pa/2019/pa_60cm_2019/39075/m_3907515_nw_18_060_20191019.tif']"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "naip_files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's select the NAIP images for 2017\n",
    "Read the NAIP images from Microsoft database and read four different bands, save the Natural color and the false color as georeferenced tiff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "List of available naip files for this location:\n",
      "\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/39075/m_3907506_se_18_1_20170611.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/39075/m_3907506_ne_18_1_20170611.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/nj/2017/nj_100cm_2017/39075/m_3907514_ne_18_1_20170730.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/39075/m_3907514_ne_18_1_20170611.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/40075/m_4007562_ne_18_1_20170910.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/40075/m_4007562_se_18_1_20170910.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/nj/2017/nj_100cm_2017/39075/m_3907508_nw_18_1_20170809.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/39075/m_3907508_nw_18_1_20170611.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/nj/2017/nj_100cm_2017/39075/m_3907508_ne_18_1_20170731.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/39075/m_3907508_ne_18_1_20170611.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/40075/m_4007563_sw_18_1_20170612.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/40075/m_4007563_nw_18_1_20170612.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/40075/m_4007563_se_18_1_20170612.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/40075/m_4007563_ne_18_1_20170612.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/40075/m_4007564_sw_18_1_20170611.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/40075/m_4007564_nw_18_1_20170612.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/40075/m_4007564_se_18_1_20170612.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/40075/m_4007564_ne_18_1_20170612.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/40075/m_4007556_se_18_1_20170801.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/nj/2017/nj_100cm_2017/40074/m_4007457_sw_18_1_20170824.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/40074/m_4007457_sw_18_1_20170612.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/nj/2017/nj_100cm_2017/40074/m_4007457_nw_18_1_20170824.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/40074/m_4007457_nw_18_1_20170612.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/40074/m_4007449_sw_18_1_20170612.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/nj/2017/nj_100cm_2017/40075/m_4007564_se_18_1_20170824.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/39075/m_3907507_nw_18_1_20170611.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/nj/2017/nj_100cm_2017/39075/m_3907515_nw_18_1_20170730.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/39075/m_3907515_nw_18_1_20170611.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/nj/2017/nj_100cm_2017/39075/m_3907507_sw_18_1_20170730.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/39075/m_3907507_sw_18_1_20170611.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/nj/2017/nj_100cm_2017/39075/m_3907507_se_18_1_20170809.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/39075/m_3907507_se_18_1_20170611.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/nj/2017/nj_100cm_2017/39075/m_3907507_ne_18_1_20170809.tif\n",
      "The url file is:------- https://naipblobs.blob.core.windows.net/naip/v002/pa/2017/pa_100cm_2017/39075/m_3907507_ne_18_1_20170611.tif\n"
     ]
    }
   ],
   "source": [
    "yearlist = ['2017']\n",
    "\n",
    "print('\\nList of available naip files for this location:\\n')\n",
    "for file in naip_files:\n",
    "#     print(file)\n",
    "    \n",
    "    # only use the NAIP in certain years\n",
    "    year = file.split('/')[2]\n",
    "    basename = file.split('/')[-1]\n",
    "    \n",
    "    nc_outfilename = os.path.join(nc_naips, basename)\n",
    "    cir_outfilename = os.path.join(cir_naips, basename)\n",
    "    \n",
    "#     print('The year is:', year)\n",
    "    if year not in yearlist: continue\n",
    "    \n",
    "#     if basename.split('.tif')[0][-8:] != '20170611':\n",
    "#         continue\n",
    "    \n",
    "#     image_filename = download_url(blob_root + '/' + file, nc_outfilename,\n",
    "#                                   progress_updater=DownloadProgressBar())\n",
    "    \n",
    "    print('The url file is:-------', blob_root + '/' + file)\n",
    "    \n",
    "    # read the naip images in rasterio and only keep the nir-green-red bands\n",
    "#     raster = rasterio.open(nc_outfilename)\n",
    "#     #r = raster.read(1, out_shape=(1, h, w))\n",
    "#     r = raster.read(1)\n",
    "#     g = raster.read(2)\n",
    "#     #b = raster.read(3)\n",
    "#     ir = raster.read(4)\n",
    "#     #rgb = np.dstack((r,g,b))\n",
    "#     cir = np.stack((ir,r,g))\n",
    "    \n",
    "#     out_meta = raster.meta.copy()\n",
    "#     out_meta.update({'count': 3})\n",
    "    \n",
    "#     with rasterio.open(cir_outfilename, \"w\", **out_meta) as dest:\n",
    "#         dest.write(cir)\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://naipblobs.blob.core.windows.net/naip/v002/pa/2019/pa_60cm_2019/39075/m_3907515_nw_18_060_20191019.tif'"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "blob_root + '/' + file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://naipblobs.blob.core.windows.net/naip'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "blob_root"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://naipblobs.blob.core.windows.net/naip/v002/pa/2019/pa_60cm_2019/39075/m_3907515_nw_18_060_20191019.tif'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "blob_root + '/' + file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cir.shape"
   ]
  }
 ],
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