Source code for satpy.readers.seadas_l2

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2021 Satpy developers
#
# This file is part of satpy.
#
# satpy is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# satpy is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE.  See the GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along with
# satpy.  If not, see <http://www.gnu.org/licenses/>.

"""Reader for SEADAS L2 products.

This reader currently only supports MODIS and VIIRS Chlorophyll A from SEADAS.

The reader includes an additional keyword argument ``apply_quality_flags``
which can be used to mask out low-quality pixels based on quality flags
contained in the file (``l2_flags``). This option defaults to ``False``, but
when set to ``True`` the "CHLWARN" pixels of the ``l2_flags`` variable
are masked out. These pixels represent data where the chlorophyll algorithm
warned about the quality of the result.

"""

import datetime as dt

from .hdf4_utils import HDF4FileHandler
from .netcdf_utils import NetCDF4FileHandler


[docs] class _SEADASL2Base: """Simple handler of SEADAS L2 files.""" def __init__(self, filename, filename_info, filetype_info, apply_quality_flags=False): """Initialize file handler and determine if data quality flags should be applied.""" super().__init__(filename, filename_info, filetype_info) self.apply_quality_flags = apply_quality_flags and self.l2_flags_var_name in self
[docs] def _add_satpy_metadata(self, data): data.attrs["sensor"] = self.sensor_names data.attrs["platform_name"] = self._platform_name() data.attrs["rows_per_scan"] = self._rows_per_scan() return data
[docs] def _rows_per_scan(self): if "modis" in self.sensor_names: return 10 if "viirs" in self.sensor_names: return 16 raise ValueError(f"Don't know how to read data for sensors: {self.sensor_names}")
[docs] def _platform_name(self): platform = self[self.platform_attr_name] platform_dict = {"NPP": "Suomi-NPP", "JPSS-1": "NOAA-20", "JPSS-2": "NOAA-21"} return platform_dict.get(platform, platform)
@property def start_time(self): """Get the starting observation time of this file's data.""" start_time = self[self.start_time_attr_name] return dt.datetime.strptime(start_time[:-3], self.time_format) @property def end_time(self): """Get the ending observation time of this file's data.""" end_time = self[self.end_time_attr_name] return dt.datetime.strptime(end_time[:-3], self.time_format) @property def sensor_names(self): """Get sensor for the current file's data.""" # Example: MODISA or VIIRSN or VIIRSJ1 sensor_name = self[self.sensor_attr_name].lower() if sensor_name.startswith("modis"): return {"modis"} return {"viirs"}
[docs] def get_dataset(self, data_id, dataset_info): """Get DataArray for the specified DataID.""" file_key, data = self._get_file_key_and_variable(data_id, dataset_info) data = self._filter_by_valid_min_max(data) data = self._rename_2d_dims_if_necessary(data) data = self._mask_based_on_l2_flags(data) for attr_name in ("standard_name", "long_name", "units"): val = data.attrs[attr_name] if val[-1] == "\x00": data.attrs[attr_name] = data.attrs[attr_name][:-1] data = self._add_satpy_metadata(data) return data
[docs] def _get_file_key_and_variable(self, data_id, dataset_info): file_keys = dataset_info.get("file_key", data_id["name"]) if not isinstance(file_keys, list): file_keys = [file_keys] for file_key in file_keys: try: data = self[file_key] return file_key, data except KeyError: continue raise KeyError(f"Unable to find any of the possible keys for {data_id}: {file_keys}")
[docs] def _rename_2d_dims_if_necessary(self, data_arr): if data_arr.ndim != 2 or data_arr.dims == ("y", "x"): return data_arr return data_arr.rename(dict(zip(data_arr.dims, ("y", "x"))))
[docs] def _filter_by_valid_min_max(self, data_arr): valid_range = self._valid_min_max(data_arr) data_arr = data_arr.where(valid_range[0] <= data_arr) data_arr = data_arr.where(data_arr <= valid_range[1]) return data_arr
[docs] def _valid_min_max(self, data_arr): try: return data_arr.attrs["valid_range"] except KeyError: return data_arr.attrs["valid_min"], data_arr.attrs["valid_max"]
[docs] def _mask_based_on_l2_flags(self, data_arr): standard_name = data_arr.attrs.get("standard_name", "") if self.apply_quality_flags and not ("lon" in standard_name or "lat" in standard_name): l2_flags = self[self.l2_flags_var_name] l2_flags = self._rename_2d_dims_if_necessary(l2_flags) mask = (l2_flags & 0b00000000010000000000000000000000) != 0 data_arr = data_arr.where(~mask) return data_arr
[docs] class SEADASL2NetCDFFileHandler(_SEADASL2Base, NetCDF4FileHandler): """Simple handler of SEADAS L2 NetCDF4 files.""" start_time_attr_name = "/attr/time_coverage_start" end_time_attr_name = "/attr/time_coverage_end" time_format = "%Y-%m-%dT%H:%M:%S.%f" platform_attr_name = "/attr/platform" sensor_attr_name = "/attr/instrument" l2_flags_var_name = "geophysical_data/l2_flags"
[docs] class SEADASL2HDFFileHandler(_SEADASL2Base, HDF4FileHandler): """Simple handler of SEADAS L2 HDF4 files.""" start_time_attr_name = "/attr/Start Time" end_time_attr_name = "/attr/End Time" time_format = "%Y%j%H%M%S" platform_attr_name = "/attr/Mission" sensor_attr_name = "/attr/Sensor Name" l2_flags_var_name = "l2_flags"