GEE_ML_Workflow/EE_funcs.ipynb

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    "import pandas\n",
    "\n",
    "def ee_array_to_df(arr, list_of_bands):\n",
    "    \"\"\"Transforms client-side ee.Image.getRegion array to pandas.DataFrame.\"\"\"\n",
    "    df = pd.DataFrame(arr)\n",
    "\n",
    "    # Rearrange the header.\n",
    "    headers = df.iloc[0]\n",
    "    df = pd.DataFrame(df.values[1:], columns=headers)\n",
    "\n",
    "    # Remove rows without data inside.\n",
    "    df = df[['longitude', 'latitude', 'time', *list_of_bands]].dropna()\n",
    "\n",
    "    # Convert the data to numeric values.\n",
    "    for band in list_of_bands:\n",
    "        df[band] = pd.to_numeric(df[band], errors='coerce')\n",
    "\n",
    "    # Convert the time field into a datetime.\n",
    "    df['datetime'] = pd.to_datetime(df['time'], unit='ms')\n",
    "\n",
    "    # Keep the columns of interest.\n",
    "    df = df[['time','datetime',  *list_of_bands]]\n",
    "\n",
    "    return df\n",
    "\n",
    "\n",
    "\n",
    "def t_modis_to_celsius(t_modis):\n",
    "    \"\"\"Converts MODIS LST units to degrees Celsius.\"\"\"\n",
    "    t_celsius =  0.02*t_modis - 273.15\n",
    "    return t_celsius\n"
   ]
  }
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