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   "source": [
    "<h1>Make a MODIS true color image using Satpy and Pyspectral</h1>\n",
    "\n",
    "Created with:\n",
    "\n",
    "Package | Version\n",
    "--- | ---\n",
    "SatPy | 0.9.0\n",
    "PyResample | 1.10.1\n",
    "Trollimage | 1.5.3\n",
    "PyKdtree | 1.3.1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order for the modis reader (hdf eos l1b), you need the pyhdf python package to be installed with:\n",
    "\n",
    "`pip install python-hdf4`\n",
    "\n",
    "or if running a conda environment:\n",
    "\n",
    "`conda install pyhdf`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from satpy.scene import Scene\n",
    "from satpy import find_files_and_readers\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "DATA_DIR = \"/home/a000680/data/polar_in/direct_readout/eos/lvl1\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(0, ['/home/a000680/usr/src/satpy/satpy/etc/readers/hdfeos_l1b.yaml'], ['hdfeos_l1b'])\n"
     ]
    }
   ],
   "source": [
    "myfiles = find_files_and_readers(base_dir=DATA_DIR,\n",
    "                                 sensor=\"modis\",\n",
    "                                 start_time=datetime(2016, 3, 30, 11, 40),\n",
    "                                 end_time=datetime(2016, 3, 30, 12, 5),\n",
    "                                 reader='modis_l1b')\n",
    "scn = Scene(filenames=myfiles)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/a000680/.local/lib/python2.7/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    }
   ],
   "source": [
    "composite_name = 'true_color'\n",
    "scn.load([composite_name], resolution=1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "areaid = 'eurol'\n",
    "lcn = scn.resample(areaid, radius_of_influence=10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<trollimage.xrimage.XRImage at 0x7fdc88025310>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lcn.show(composite_name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://media.githubusercontent.com/media/pytroll/pytroll-examples/main/satpy/modis_true_color_rgb_201603301143_eurol_thumb.png\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/a000680/.local/lib/python2.7/site-packages/dask/local.py:271: RuntimeWarning: invalid value encountered in less\n",
      "  return func(*args2)\n",
      "/home/a000680/.local/lib/python2.7/site-packages/dask/local.py:271: RuntimeWarning: invalid value encountered in log10\n",
      "  return func(*args2)\n"
     ]
    }
   ],
   "source": [
    "lcn.save_dataset(composite_name, './modis_%s_rgb_%s_%s.png' %\n",
    "                 (composite_name, lcn.attrs['start_time'].strftime('%Y%m%d%H%M'), areaid))"
   ]
  }
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