Calculating_NDVI_from_Imagery_Ndarray_Inserts.ipynb

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   "execution_count": 14,
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    "remote": true
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(8, 58233, 8765)\n"
     ]
    }
   ],
   "source": [
    "from gbdxtools.task import env\n",
    "from gbdxtools import CatalogImage\n",
    "\n",
    "catalog_id = env.inputs.get('catalog_id', '10300100631B5C00')\n",
    "\n",
    "image = CatalogImage(catalog_id, band_type=\"MS\")\n",
    "\n",
    "print image.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "u'EPSG:4326'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Affine(2.016708587854833e-05, 0.0, 40.23778933291412, 0.0, -2.016708587854833e-05, 1.03885169)\n",
    "\n",
    "#gt = image.geotiff\n",
    "#h5 = image.to_hdf5\n",
    "#image.dtype\n",
    "\n",
    "image.affine\n",
    "image.proj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "np.savez(\"test\", image[5,20000:30000,:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
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       "  Imagery_and_AOIs.ipynb\n",
       "  test.npz\n",
       "  [email protected]\n",
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