Source code for eoreader.products.sar.tsx_product

# -*- coding: utf-8 -*-
# Copyright 2021, SERTIT-ICube - France, https://sertit.unistra.fr/
# This file is part of eoreader project
#     https://github.com/sertit/eoreader
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
TerraSAR-X & TanDEM-X & PAZ products.
More info `here <https://tandemx-science.dlr.de/pdfs/TX-GS-DD-3302_Basic-Products-Specification-Document_V1.9.pdf>`_.
"""
import logging
import warnings
from datetime import datetime
from enum import unique
from typing import Union

import geopandas as gpd
import rasterio
from lxml import etree
from sertit import vectors
from sertit.misc import ListEnum

from eoreader import cache, cached_property
from eoreader.exceptions import InvalidProductError, InvalidTypeError
from eoreader.products.sar.sar_product import SarProduct, SarProductType
from eoreader.reader import Platform
from eoreader.utils import DATETIME_FMT, EOREADER_NAME

LOGGER = logging.getLogger(EOREADER_NAME)

# Disable georef warnings here as the SAR products are not georeferenced
warnings.filterwarnings("ignore", category=rasterio.errors.NotGeoreferencedWarning)


[docs]@unique class TsxProductType(ListEnum): """ TerraSAR-X & TanDEM-X & PAZ projection identifier. Take a look `here <https://tandemx-science.dlr.de/pdfs/TX-GS-DD-3302_Basic-Products-Specification-Document_V1.9.pdf>`_ """ SSC = "SSC" """Single Look Slant Range, Complex representation""" MGD = "MGD" """Multi Look Ground Range, Detected representation""" GEC = "GEC" """Geocoded Ellipsoid Corrected, Detected representation""" EEC = "EEC" """Enhanced Ellipsoid Corrected, Detected representation"""
[docs]@unique class TsxSensorMode(ListEnum): """ TerraSAR-X & TanDEM-X & PAZ sensor mode. Take a look `here <https://tandemx-science.dlr.de/pdfs/TX-GS-DD-3302_Basic-Products-Specification-Document_V1.9.pdf>`_ """ HS = "HS" """High Resolution Spotlight""" SL = "SL" """Spotlight""" ST = "ST" """Staring Spotlight""" SM = "SM" """Stripmap""" SC = "SC" """ScanSAR"""
[docs]@unique class TsxPolarization(ListEnum): """ TerraSAR-X & TanDEM-X & PAZ polarization mode. Take a look `here <https://tandemx-science.dlr.de/pdfs/TX-GS-DD-3302_Basic-Products-Specification-Document_V1.9.pdf>`_ """ SINGLE = "S" """"Single Polarization""" DUAL = "D" """"Dual Polarization""" QUAD = "Q" """"Quad Polarization""" TWIN = "T" """"Twin Polarization"""
[docs]@unique class TsxSatId(ListEnum): """ TerraSAR-X products satellite IDs + PAZ See `here <https://dg-cms-uploads-production.s3.amazonaws.com/uploads/document/file/106/ISD_External.pdf>`_ (p. 29) """ TDX = "TanDEM-X" """ TanDEM-X """ TSX = "TerraSAR-X" """ TerraSAR-X """ PAZ = "PAZ" """ PAZ """
[docs]class TsxProduct(SarProduct): """Class for TerraSAR-X & TanDEM-X & PAZ Products""" def _set_resolution(self) -> float: """ Set product default resolution (in meters) .. WARNING:: - We assume being in High Resolution (except for WV where we must be in medium resolution) - Incidence angle: we consider the best option, around 55 degrees """ # Read metadata try: root, _ = self.read_mtd() image_data = root.find(".//imageDataInfo") def_res = float(image_data.findtext(".//rowSpacing")) # Square pixels except (InvalidProductError, TypeError): raise InvalidProductError( "imageDataInfo or rowSpacing not found in metadata !" ) return def_res def _pre_init(self) -> None: """ Function used to pre_init the products (setting needs_extraction and so on) """ # Private attributes self._raw_band_regex = "*IMAGE_{}_*" self._band_folder = self.path.joinpath("IMAGEDATA") root, _ = self.read_mtd() name = root.find(".//generalHeader").attrib.get("fileName") if not name: raise InvalidProductError("Cannot find the filename in the metadata file") self._snap_path = name # SNAP cannot process its archive self.needs_extraction = True # Post init done by the super class super()._pre_init() def _get_platform(self) -> Platform: """ Getter of the platform """ # TerraSAR-X & TanDEM-X products are all similar, we must check into the metadata to know the sensor root, _ = self.read_mtd() sat_id = root.findtext(".//mission") if not sat_id: raise InvalidProductError("Cannot find mission in the metadata file") sat_id = getattr(TsxSatId, sat_id.split("-")[0]).name return getattr(Platform, sat_id) def _post_init(self) -> None: """ Function used to post_init the products (setting product-type, band names and so on) """ # Post init done by the super class super()._post_init() @cached_property def wgs84_extent(self) -> gpd.GeoDataFrame: """ Get the WGS84 extent of the file before any reprojection. This is useful when the SAR pre-process has not been done yet. .. code-block:: python >>> from eoreader.reader import Reader >>> path = r"TSX1_SAR__MGD_SE___SM_S_SRA_20160229T223018_20160229T223023" >>> prod = Reader().open(path) >>> prod.wgs84_extent geometry 0 POLYGON ((106.65491 -6.39693, 106.96233 -6.396... Returns: gpd.GeoDataFrame: WGS84 extent as a gpd.GeoDataFrame """ # Open extent KML file try: extent_file = next(self.path.glob("**/*SUPPORT/GEARTH_POLY.kml")) except IndexError as ex: raise InvalidProductError( f"Extent file (products.kml) not found in {self.path}" ) from ex extent_wgs84 = vectors.read(extent_file).envelope return gpd.GeoDataFrame(geometry=extent_wgs84.geometry, crs=extent_wgs84.crs) def _set_product_type(self) -> None: """Set products type""" # Get MTD XML file root, _ = self.read_mtd() # Open identifier try: prod_type = root.findtext(".//productVariant") except TypeError: raise InvalidProductError("mode not found in metadata !") self.product_type = TsxProductType.from_value(prod_type) if self.product_type == TsxProductType.MGD: self.sar_prod_type = SarProductType.GDRG elif self.product_type == TsxProductType.SSC: self.sar_prod_type = SarProductType.CPLX else: raise NotImplementedError( f"{self.product_type.value} product type is not available for {self.name}" ) if self.product_type != TsxProductType.MGD: LOGGER.warning( "Other products type than MGD has not been tested for %s data. " "Use it at your own risks !", self.platform.value, ) def _set_sensor_mode(self) -> None: """ Get products type from TerraSAR-X products name (could check the metadata too) """ # Get MTD XML file root, _ = self.read_mtd() # Open identifier try: imaging_mode = root.findtext(".//imagingMode") except TypeError: raise InvalidProductError("imagingMode not found in metadata !") # Get sensor mode try: self.sensor_mode = TsxSensorMode.from_value(imaging_mode) except ValueError as ex: raise InvalidTypeError(f"Invalid sensor mode for {self.name}") from ex
[docs] def get_datetime(self, as_datetime: bool = False) -> Union[str, datetime]: """ Get the product's acquisition datetime, with format `YYYYMMDDTHHMMSS` <-> `%Y%m%dT%H%M%S` .. code-block:: python >>> from eoreader.reader import Reader >>> path = r"TSX1_SAR__MGD_SE___SM_S_SRA_20160229T223018_20160229T223023" >>> prod = Reader().open(path) >>> prod.get_datetime(as_datetime=True) datetime.datetime(2016, 2, 29, 22, 30, 18) >>> prod.get_datetime(as_datetime=False) '20160229T223018' Args: as_datetime (bool): Return the date as a datetime.datetime. If false, returns a string. Returns: Union[str, datetime.datetime]: Its acquisition datetime """ if self.datetime is None: # Get MTD XML file root, _ = self.read_mtd() # Open identifier try: acq_date = root.findtext(".//start/timeUTC") except TypeError: raise InvalidProductError("start/timeUTC not found in metadata !") # Convert to datetime date = datetime.strptime(acq_date, "%Y-%m-%dT%H:%M:%S.%fZ") else: date = self.datetime if not as_datetime: date = date.strftime(DATETIME_FMT) return date
@cache def _read_mtd(self) -> (etree._Element, dict): """ Read metadata and outputs the metadata XML root and its namespaces as a dict .. code-block:: python >>> from eoreader.reader import Reader >>> path = r"TSX1_SAR__MGD_SE___SM_S_SRA_20200605T042203_20200605T042211" >>> prod = Reader().open(path) >>> prod.read_mtd() (<Element level1Product at 0x1b845b7ab88>, {}) Returns: (etree._Element, dict): Metadata XML root and its namespaces """ mtd_from_path = "SAR*SAR*xml" return self._read_mtd_xml(mtd_from_path)