convert.ipynb

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    "## Converting NetCDF into COGs\n",
    "Copying the data from the network drive using a wildcard to get SWE maps. \\\n",
    "Then using a function defined in utils.py to convert the NetCDF files into COGs. "
   ]
  },
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   "cell_type": "code",
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   "source": [
    "import warnings\n",
    "import xarray as xr\n",
    "from rasterio.errors import NotGeoreferencedWarning\n",
    "from utils import copy_netcdf_data, netcdf_to_cog\n",
    "\n",
    "warnings.filterwarnings(\"ignore\", category=NotGeoreferencedWarning)"
   ]
  },
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   "cell_type": "code",
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   "source": [
    "# Find and copy the SWE data to the data folder\n",
    "netcdf_path = '/mnt/CEPH_PROJECTS/PROSNOW/SENTINEL-2/Daily_SCA/Venosta/*_swe.nc'\n",
    "output = './data'\n",
    "\n",
    "copy_netcdf_data(netcdf_path, output)"
   ]
  },
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   "execution_count": 4,
   "metadata": {},
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     "text": [
      "/home/jzvolensky/eurac/projects/swe-maps-stac/swe_maps_stac/utils.py:30: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.\n",
      "  transform = rasterio.transform.from_bounds(dataset.x[0], dataset.y[-1], dataset.x[-1], dataset.y[0], dataset.dims['x'], dataset.dims['y'])\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COG creation time: 10.03 seconds\n"
     ]
    }
   ],
   "source": [
    "cogs= netcdf_to_cog(netcdf_path = './data/venosta_hy1718_swe.nc',\n",
    "                     cog_dir = './output_cog/venosta_1718_cog/',\n",
    "                     swe_name_year = 'venosta_1718_swe'\n",
    "                    )"
   ]
  }
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