From e7727d7520cbe4966f4302d0c901a5f7d6b8fb31 Mon Sep 17 00:00:00 2001 From: Alessandro Amici Date: Sat, 17 Oct 2026 22:03:44 +0200 Subject: [PATCH 1/7] Port orbit, attitude and doppler_centroid to eopf_sentinel1 Co-Authored-By: Claude Opus 5.5 --- docs/DATATREE.md | 13 ++- tests/test_15_eopf_sentinel1.py | 26 ++++++ tests/test_30_eopf_product.py | 12 ++- xarray_sentinel/eopf_product.py | 6 +- xarray_sentinel/eopf_sentinel1.py | 72 +++++++++++++++ xarray_sentinel/sentinel1.py | 140 ++++-------------------------- 6 files changed, 134 insertions(+), 135 deletions(-) diff --git a/docs/DATATREE.md b/docs/DATATREE.md index ae81bd9..72ee5d9 100644 --- a/docs/DATATREE.md +++ b/docs/DATATREE.md @@ -19,8 +19,10 @@ dt = xr.open_datatree("S1A_IW_SLC__1SDV_....SAFE", engine="sentinel-1") - The EOPF datasets are the base: `eopf_sentinel1` builds them from the `parse_xml` dicts with `get_tag`. The `sentinel1` openers become wrappers converting them back to the xarray-sentinel layout, with one `parse_xml` per call until all are ported. The - xarray-sentinel layout may get the EOPF float32 where float64 doesn't matter. Openers - never exposed in the xarray-sentinel layout, like antenna pattern, are EOPF only. + xarray-sentinel layout may get the EOPF float32 where float64 doesn't matter and the + additional EOPF variables, so the wrappers only rename, transpose and add attributes. + Openers never exposed in the xarray-sentinel layout, like antenna pattern, are EOPF + only. ## References @@ -205,7 +207,12 @@ adds converters to the step 1 registry, steps 10 and 11 come last. `tests/data/eopf/`. Groups not converted yet are marked `PENDING`, each step removes the marks of its groups. 1. Done: node names, `eopf_product.make_product_name` tested on the examples above. -1. orbit, attitude, doppler_centroid: from the existing openers, quirks 2 and 3. +1. Done: orbit, attitude, doppler_centroid, `eopf_sentinel1.open_orbit`, `open_attitude` + and `open_doppler_centroid` with quirks 2 and 3, the bases of the `sentinel1` openers. + Quaternions and Doppler polynomials are float32 as in EOPF, also in the + xarray-sentinel layout: the XML has 7 digits, float32 keeps them within 6e-8. All + attitude variables are float32, where EOPF has float64 for the angular velocity and + the angles: pitch, roll and yaw are derived from the quaternions. 1. Done: gcp, `eopf_sentinel1.open_gcp` with snake_case names, 2-D annotated times, quirk 1, and `line` and `pixel` as additional coordinates. It is the base of `sentinel1.open_gcp_dataset`. diff --git a/tests/test_15_eopf_sentinel1.py b/tests/test_15_eopf_sentinel1.py index e311b6a..c551041 100644 --- a/tests/test_15_eopf_sentinel1.py +++ b/tests/test_15_eopf_sentinel1.py @@ -28,6 +28,32 @@ def test_open_antenna_pattern() -> None: assert res.slant_range_time_ap.count("count").values.min() == 563 +def test_open_attitude() -> None: + res = eopf_sentinel1.open_attitude(esa_safe.parse_xml(SLC_IW1_VV_annotation)) + + assert dict(res.sizes) == {"azimuth_time": 25} + assert {str(var.dtype) for var in res.data_vars.values()} == {"float32"} + + +def test_open_orbit() -> None: + res = eopf_sentinel1.open_orbit(esa_safe.parse_xml(SLC_IW1_VV_annotation)) + + assert res.position.dims == ("azimuth_time", "axis") + assert res.axis.values.tolist() == ["x", "y", "z"] + assert res.attrs == {"reference_system": "Earth Fixed"} + + +def test_open_doppler_centroid() -> None: + res = eopf_sentinel1.open_doppler_centroid( + esa_safe.parse_xml(SLC_IW1_VV_annotation) + ) + + assert res.degree.values.tolist() == [0, 1, 2] + assert res.data_dc_polynomial.dtype == "float32" + assert res.fine_dce_azimuth_start_time.dtype == "datetime64[ns]" + assert res.data_dc_rms_error_above_threshold.dtype == bool + + def test_open_coordinate_conversion() -> None: # dims and dtypes from the CPM 3.0 S01SIWGRD mapping expected = { diff --git a/tests/test_30_eopf_product.py b/tests/test_30_eopf_product.py index 04763b6..307231a 100644 --- a/tests/test_30_eopf_product.py +++ b/tests/test_30_eopf_product.py @@ -24,8 +24,12 @@ / "S01SIWSLC_20260731T234807_0014_C050_C079_0116E8_IW3_258176.json" ) -# EOPF quirks we fix and data we add, see docs/DATATREE.md +# EOPF quirks we fix, data we add and dtypes we change, see docs/DATATREE.md EOPF_FIXES = { + "conditions/attitude": { + name: [["azimuth_time"], "float32"] + for name in ["wx", "wy", "wz", "pitch", "roll", "yaw"] + }, "conditions/doppler_centroid": { "fine_dce_azimuth_start_time": [ ["polarization", "azimuth_time"], @@ -128,10 +132,10 @@ def test_open_datatree_groups( "quality", pytest.param("measurements", marks=PENDING), "conditions/antenna_pattern", - pytest.param("conditions/attitude", marks=PENDING), - pytest.param("conditions/doppler_centroid", marks=PENDING), + "conditions/attitude", + "conditions/doppler_centroid", "conditions/gcp", - pytest.param("conditions/orbit", marks=PENDING), + "conditions/orbit", pytest.param("quality/calibration", marks=PENDING), pytest.param("quality/noise_azimuth", marks=PENDING), pytest.param("quality/noise_range", marks=PENDING), diff --git a/xarray_sentinel/eopf_product.py b/xarray_sentinel/eopf_product.py index 42c0aa4..cbd7256 100644 --- a/xarray_sentinel/eopf_product.py +++ b/xarray_sentinel/eopf_product.py @@ -12,9 +12,6 @@ from . import conventions, eopf_metadata, eopf_sentinel1, esa_safe, sentinel1 EOPF_GROUPS: dict[str, tuple[str, Callable[..., xr.Dataset]]] = { - "conditions/attitude": ("attitude", sentinel1.open_attitude_dataset), - "conditions/doppler_centroid": ("dc_estimate", sentinel1.open_dc_estimate_dataset), - "conditions/orbit": ("orbit", sentinel1.open_orbit_dataset), "quality/calibration": ("calibration", sentinel1.open_calibration_dataset), "quality/noise_azimuth": ("noise_azimuth", sentinel1.open_noise_azimuth_dataset), "quality/noise_range": ("noise_range", sentinel1.open_noise_range_dataset), @@ -47,8 +44,11 @@ def make_product_name(safe_name: str) -> str: ANNOTATION_GROUPS: dict[str, Callable[[dict[str, Any]], xr.Dataset | None]] = { "conditions/antenna_pattern": eopf_sentinel1.open_antenna_pattern, + "conditions/attitude": eopf_sentinel1.open_attitude, "conditions/coordinate_conversion": eopf_sentinel1.open_coordinate_conversion, + "conditions/doppler_centroid": eopf_sentinel1.open_doppler_centroid, "conditions/gcp": eopf_sentinel1.open_gcp, + "conditions/orbit": eopf_sentinel1.open_orbit, } diff --git a/xarray_sentinel/eopf_sentinel1.py b/xarray_sentinel/eopf_sentinel1.py index 28f737c..4b35cf5 100644 --- a/xarray_sentinel/eopf_sentinel1.py +++ b/xarray_sentinel/eopf_sentinel1.py @@ -1,3 +1,4 @@ +import warnings from typing import Any import numpy as np @@ -5,6 +6,7 @@ from . import esa_safe +ATTITUDE_VARIABLES = ["q0", "q1", "q2", "q3", "wx", "wy", "wz", "pitch", "roll", "yaw"] GCP_VARIABLES = { "latitude": "latitude", "longitude": "longitude", @@ -44,6 +46,76 @@ def open_antenna_pattern(annotation: dict[str, Any]) -> xr.Dataset: return xr.concat(pattern_datasets, dim="azimuth_time", join="outer") +def open_attitude(annotation: dict[str, Any]) -> xr.Dataset: + attitudes = esa_safe.get_tag(annotation, "generalAnnotation/attitudeList/attitude") + # all float32, not only the quaternions as in EOPF, see docs/DATATREE.md + data_vars = { + name: ("azimuth_time", np.array([a[name] for a in attitudes], dtype=np.float32)) + for name in ATTITUDE_VARIABLES + } + coords = {"azimuth_time": [np.datetime64(a["time"], "ns") for a in attitudes]} + return xr.Dataset(data_vars=data_vars, coords=coords) + + +def open_orbit(annotation: dict[str, Any]) -> xr.Dataset: + orbits = esa_safe.get_tag(annotation, "generalAnnotation/orbitList/orbit") + reference_system = orbits[0]["frame"] + if any(orbit["frame"] != reference_system for orbit in orbits): + warnings.warn("reference_system is not consistent in all the state vectors. ") + axis = ["x", "y", "z"] + position = [[orbit["position"][a] for a in axis] for orbit in orbits] + velocity = [[orbit["velocity"][a] for a in axis] for orbit in orbits] + data_vars = { + "position": (("azimuth_time", "axis"), position), + "velocity": (("azimuth_time", "axis"), velocity), + } + coords = { + "azimuth_time": [np.datetime64(orbit["time"], "ns") for orbit in orbits], + "axis": axis, + } + attrs = {"reference_system": reference_system} + return xr.Dataset(data_vars=data_vars, coords=coords, attrs=attrs) + + +def open_doppler_centroid(annotation: dict[str, Any]) -> xr.Dataset: + estimates = esa_safe.get_tag( + annotation, "dopplerCentroid/dcEstimateList/dcEstimate" + ) + data_dc_polynomial = [ + np.fromstring(e["dataDcPolynomial"]["$"], dtype=np.float32, sep=" ") + for e in estimates + ] + geometry_dc_polynomial = [ + np.fromstring(e["geometryDcPolynomial"]["$"], dtype=np.float32, sep=" ") + for e in estimates + ] + data_vars = { + "t0": ("azimuth_time", [e["t0"] for e in estimates]), + "data_dc_polynomial": (("azimuth_time", "degree"), data_dc_polynomial), + "geometry_dc_polynomial": (("azimuth_time", "degree"), geometry_dc_polynomial), + "data_dc_rms_error": ("azimuth_time", [e["dataDcRmsError"] for e in estimates]), + "data_dc_rms_error_above_threshold": ( + "azimuth_time", + [e["dataDcRmsErrorAboveThreshold"] for e in estimates], + ), + # times, not bool as in EOPF, see quirk 3 in docs/DATATREE.md + "fine_dce_azimuth_start_time": ( + "azimuth_time", + [np.datetime64(e["fineDceAzimuthStartTime"], "ns") for e in estimates], + ), + "fine_dce_azimuth_stop_time": ( + "azimuth_time", + [np.datetime64(e["fineDceAzimuthStopTime"], "ns") for e in estimates], + ), + } + coords = { + "azimuth_time": [np.datetime64(e["azimuthTime"], "ns") for e in estimates], + # the polynomial powers, not reversed as in EOPF, see quirk 2 in docs/DATATREE.md + "degree": np.arange(data_dc_polynomial[0].size), + } + return xr.Dataset(data_vars=data_vars, coords=coords) + + def open_gcp(annotation: dict[str, Any]) -> xr.Dataset: points = esa_safe.get_tag( annotation, "geolocationGrid/geolocationGridPointList/geolocationGridPoint" diff --git a/xarray_sentinel/sentinel1.py b/xarray_sentinel/sentinel1.py index 37b2cf1..51a022d 100644 --- a/xarray_sentinel/sentinel1.py +++ b/xarray_sentinel/sentinel1.py @@ -326,7 +326,6 @@ def open_gcp_dataset( ) -> xr.Dataset: xml_dict = esa_safe.parse_xml(annotation) ds = eopf_sentinel1.open_gcp(xml_dict) - ds = ds.drop_vars(["azimuth_time_gcp", "slant_range_time_gcp"]) ds = ds.rename(incidence_angle="incidenceAngle", elevation_angle="elevationAngle") for data_var in ds.data_vars.values(): data_var.attrs.update(attrs) @@ -394,141 +393,32 @@ def make_geospatial_attributes( def open_attitude_dataset( annotation: esa_safe.PathOrFileType, attrs: dict[str, Any] = {} ) -> xr.Dataset: - attitudes = esa_safe.parse_tag_as_list(annotation, "//attitude") - - variables = ["q0", "q1", "q2", "q3", "wx", "wy", "wz", "pitch", "roll", "yaw"] - azimuth_time: list[Any] = [] - data_vars: dict[str, Any] - data_vars = {var: ("azimuth_time", [], attrs) for var in variables} - for attitude in attitudes: - azimuth_time.append(attitude["time"]) - for var in variables: - data_vars[var][1].append(attitude[var]) - - ds = xr.Dataset( - data_vars=data_vars, - coords={"azimuth_time": [np.datetime64(dt, "ns") for dt in azimuth_time]}, - attrs=attrs, - ) - - return ds - - -def make_orbit( - azimuth_time: list[Any], - positions: list[list[Any]], - velocities: list[list[Any]], - attrs: dict[str, Any] = {}, -) -> xr.Dataset: - position = xr.Variable(data=positions, dims=("axis", "azimuth_time")) - velocity = xr.Variable(data=velocities, dims=("axis", "azimuth_time")) - - ds = xr.Dataset( - data_vars={"position": position, "velocity": velocity}, - attrs=attrs, - coords={ - "azimuth_time": [np.datetime64(dt, "ns") for dt in azimuth_time], - "axis": [0, 1, 2], - }, - ) - for data_var in ds.data_vars: - ds[data_var].attrs = attrs - + ds = eopf_sentinel1.open_attitude(esa_safe.parse_xml(annotation)) + for data_var in ds.data_vars.values(): + data_var.attrs.update(attrs) + ds.attrs.update(attrs) return ds def open_orbit_dataset( annotation: esa_safe.PathOrFileType, attrs: dict[str, Any] = {} ) -> xr.Dataset: - orbits = esa_safe.parse_tag_as_list(annotation, "//orbit") - - attrs = attrs.copy() - reference_system = orbits[0]["frame"] - if reference_system is not None: - attrs.update({"reference_system": reference_system}) - - azimuth_times: list[Any] = [] - positions: list[list[Any]] = [[], [], []] - velocities: list[list[Any]] = [[], [], []] - for orbit in orbits: - azimuth_times.append(orbit["time"]) - positions[0].append(orbit["position"]["x"]) - positions[1].append(orbit["position"]["y"]) - positions[2].append(orbit["position"]["z"]) - velocities[0].append(orbit["velocity"]["x"]) - velocities[1].append(orbit["velocity"]["y"]) - velocities[2].append(orbit["velocity"]["z"]) - if orbit["frame"] != reference_system: - warnings.warn( - "reference_system is not consistent in all the state vectors. " - ) - reference_system = None - - return make_orbit(azimuth_times, positions, velocities, attrs) + ds = eopf_sentinel1.open_orbit(esa_safe.parse_xml(annotation)) + ds = ds.transpose("axis", "azimuth_time").assign_coords(axis=[0, 1, 2]) + attrs = attrs | ds.attrs + for data_var in ds.data_vars.values(): + data_var.attrs = attrs + ds.attrs = attrs + return ds def open_dc_estimate_dataset( annotation: esa_safe.PathOrFileType, attrs: dict[str, Any] = {} ) -> xr.Dataset: - dc_estimates = esa_safe.parse_tag_as_list(annotation, "//dcEstimate") - - azimuth_time = [] - t0 = [] - data_dc_poly = [] - geometry_dc_poly = [] - data_dc_rms_error = [] - data_dc_rms_error_above_threshold = [] - fine_dce_azimuth_start_time = [] - fine_dce_azimuth_stop_time = [] - for dc_estimate in dc_estimates: - geometry_dc_poly.append( - [float(c) for c in dc_estimate["geometryDcPolynomial"]["$"].split()] - ) - data_dc_rms_error.append(dc_estimate["dataDcRmsError"]) - data_dc_rms_error_above_threshold.append( - dc_estimate["dataDcRmsErrorAboveThreshold"] - ) - fine_dce_azimuth_start_time.append(dc_estimate["fineDceAzimuthStartTime"]) - fine_dce_azimuth_stop_time.append(dc_estimate["fineDceAzimuthStopTime"]) - azimuth_time.append(dc_estimate["azimuthTime"]) - t0.append(dc_estimate["t0"]) - data_dc_poly.append( - [float(c) for c in dc_estimate["dataDcPolynomial"]["$"].split()] - ) - - ds = xr.Dataset( - data_vars={ - "t0": ("azimuth_time", t0, attrs), - "data_dc_polynomial": (("azimuth_time", "degree"), data_dc_poly, attrs), - "geometry_dc_polynomial": ( - ("azimuth_time", "degree"), - geometry_dc_poly, - attrs, - ), - "data_dc_rms_error": ("azimuth_time", data_dc_rms_error, attrs), - "data_dc_rms_error_above_threshold": ( - "azimuth_time", - data_dc_rms_error_above_threshold, - attrs, - ), - # - # Not present in the new Zarr products - # - # "fine_dce_azimuth_start_time": ( - # "azimuth_time", - # [np.datetime64(at, "ns") for at in fine_dce_azimuth_start_time], - # ), - # "fine_dce_azimuth_stop_time": ( - # "azimuth_time", - # [np.datetime64(at, "ns") for at in fine_dce_azimuth_stop_time], - # ), - }, - coords={ - "azimuth_time": [np.datetime64(at, "ns") for at in azimuth_time], - "degree": list(range(len(data_dc_poly[0]))), - }, - attrs=attrs, - ) + ds = eopf_sentinel1.open_doppler_centroid(esa_safe.parse_xml(annotation)) + for data_var in ds.data_vars.values(): + data_var.attrs.update(attrs) + ds.attrs.update(attrs) return ds From 4d0faf379afbd65988387e942803ec5bb824f189 Mon Sep 17 00:00:00 2001 From: Alessandro Amici Date: Sat, 17 Oct 2026 22:21:46 +0200 Subject: [PATCH 2/7] Add EOPF calibration and noise_range in eopf_sentinel1 Co-Authored-By: Claude Opus 5.5 --- docs/DATATREE.md | 11 +++-- tests/test_15_eopf_sentinel1.py | 51 ++++++++++++++++++++++ tests/test_30_eopf_product.py | 12 +++++- xarray_sentinel/eopf_product.py | 22 +++++++++- xarray_sentinel/eopf_sentinel1.py | 70 +++++++++++++++++++++++++++++++ 5 files changed, 158 insertions(+), 8 deletions(-) diff --git a/docs/DATATREE.md b/docs/DATATREE.md index 72ee5d9..f668b04 100644 --- a/docs/DATATREE.md +++ b/docs/DATATREE.md @@ -170,8 +170,7 @@ What we do in each case follows the decisions above. - `line` and `pixel` coordinates: CPM 2.7 has them, the CPM 3.0 sample does not. The CPM 3.0 code drops them from calibration and noise but builds them for gcp. We keep - them in gcp, as additional data is safe. For the other groups check on a CPM 3.0 - conversion, step 11, until then omit them. + them in gcp, calibration and noise_range, as additional data is safe. - `azimuth_fm_rate`, needed by sarsen: in EOPF it is only `other_metadata[pol]["general_annotation"]["azimuth_fm_rate_list"]`. - `zarr_conventions`, `spatial:bbox` and `proj:code` on the CPM 3.0 sample come from the @@ -216,9 +215,13 @@ adds converters to the step 1 registry, steps 10 and 11 come last. 1. Done: gcp, `eopf_sentinel1.open_gcp` with snake_case names, 2-D annotated times, quirk 1, and `line` and `pixel` as additional coordinates. It is the base of `sentinel1.open_gcp_dataset`. -1. calibration, noise_range: snake_case names, range coordinate from `pixel` as +1. Done: calibration, noise_range, `eopf_sentinel1.open_calibration` and + `open_noise_range` with snake_case names, range coordinate from `pixel` as `image_slant_range_time + pixel / range_sampling_rate` for SLC and - `pixel * range_pixel_spacing` for GRD. + `pixel * range_pixel_spacing` for GRD, `line` and `pixel` as additional coordinates. + They need the annotation for the range coordinate while the `sentinel1` openers only + get their own file, so these are EOPF only and the `sentinel1` openers keep their + code. 1. noise_azimuth: from the existing opener, quirk 6. 1. Done: antenna_pattern, and GRD coordinate_conversion. `eopf_product.ANNOTATION_GROUPS` holds the converters of the `parse_xml` annotation, a converter returns `None` when diff --git a/tests/test_15_eopf_sentinel1.py b/tests/test_15_eopf_sentinel1.py index c551041..29ff883 100644 --- a/tests/test_15_eopf_sentinel1.py +++ b/tests/test_15_eopf_sentinel1.py @@ -1,5 +1,6 @@ import pathlib +import numpy as np import xarray as xr from xarray_sentinel import eopf_sentinel1, esa_safe @@ -12,6 +13,16 @@ / "annotation" / "s1b-iw1-slc-vv-20210401t052624-20210401t052649-026269-032297-004.xml" ) +SLC_IW1_VV_calibration = ( + SLC_IW1_VV_annotation.parent + / "calibration" + / "calibration-s1b-iw1-slc-vv-20210401t052624-20210401t052649-026269-032297-004.xml" +) +SLC_IW1_VV_noise = ( + SLC_IW1_VV_annotation.parent + / "calibration" + / "noise-s1b-iw1-slc-vv-20210401t052624-20210401t052649-026269-032297-004.xml" +) GRD_IW_VV_annotation = ( DATA_FOLDER / "S1B_IW_GRDH_1SDV_20210401T052623_20210401T052648_026269_032297_ECC8.SAFE" @@ -90,3 +101,43 @@ def test_open_gcp() -> None: assert res.azimuth_time_gcp.dtype == "datetime64[ns]" assert (res.azimuth_time == res.azimuth_time_gcp.isel(slant_range_time=0)).all() assert (res.slant_range_time == res.slant_range_time_gcp.isel(azimuth_time=0)).all() + + +def test_range_coordinate() -> None: + pixel = np.array([0, 10]) + annotation = esa_safe.parse_xml(SLC_IW1_VV_annotation) + image_information = esa_safe.get_tag(annotation, "imageAnnotation/imageInformation") + + name, values = eopf_sentinel1.range_coordinate(pixel, annotation) + + assert name == "slant_range_time" + assert values[0] == image_information["slantRangeTime"] + + name, values = eopf_sentinel1.range_coordinate( + pixel, esa_safe.parse_xml(GRD_IW_VV_annotation) + ) + + assert name == "ground_range" + assert values.tolist() == [0.0, 100.0] + + +def test_open_calibration() -> None: + res = eopf_sentinel1.open_calibration( + esa_safe.parse_xml(SLC_IW1_VV_calibration, "calibration"), + esa_safe.parse_xml(SLC_IW1_VV_annotation), + ) + + assert res.sigma_nought.dims == ("azimuth_time", "slant_range_time") + assert res.sigma_nought.dtype == "float32" + assert res.pixel.dims == ("slant_range_time",) + assert res.attrs == {"absolute_calibration_constant": 1.393} + + +def test_open_noise_range() -> None: + res = eopf_sentinel1.open_noise_range( + esa_safe.parse_xml(SLC_IW1_VV_noise, "noise"), + esa_safe.parse_xml(SLC_IW1_VV_annotation), + ) + + assert dict(res.sizes) == {"azimuth_time": 10, "slant_range_time": 542} + assert res.noise_range_lut.dtype == "float32" diff --git a/tests/test_30_eopf_product.py b/tests/test_30_eopf_product.py index 307231a..ac22f85 100644 --- a/tests/test_30_eopf_product.py +++ b/tests/test_30_eopf_product.py @@ -44,6 +44,14 @@ "line": [["azimuth_time"], "int64"], "pixel": [["slant_range_time"], "int64"], }, + "quality/calibration": { + "line": [["azimuth_time"], "int64"], + "pixel": [["slant_range_time"], "int64"], + }, + "quality/noise_range": { + "line": [["azimuth_time"], "int64"], + "pixel": [["slant_range_time"], "int64"], + }, } EXPECTED_SLC_IW_STRUCTURE = { group: variables | EOPF_FIXES.get(group, {}) @@ -136,9 +144,9 @@ def test_open_datatree_groups( "conditions/doppler_centroid", "conditions/gcp", "conditions/orbit", - pytest.param("quality/calibration", marks=PENDING), + "quality/calibration", pytest.param("quality/noise_azimuth", marks=PENDING), - pytest.param("quality/noise_range", marks=PENDING), + "quality/noise_range", ], ) def test_open_datatree_group_structure( diff --git a/xarray_sentinel/eopf_product.py b/xarray_sentinel/eopf_product.py index cbd7256..0712cf7 100644 --- a/xarray_sentinel/eopf_product.py +++ b/xarray_sentinel/eopf_product.py @@ -12,9 +12,7 @@ from . import conventions, eopf_metadata, eopf_sentinel1, esa_safe, sentinel1 EOPF_GROUPS: dict[str, tuple[str, Callable[..., xr.Dataset]]] = { - "quality/calibration": ("calibration", sentinel1.open_calibration_dataset), "quality/noise_azimuth": ("noise_azimuth", sentinel1.open_noise_azimuth_dataset), - "quality/noise_range": ("noise_range", sentinel1.open_noise_range_dataset), } POLARIZATION_INDEPENDENT_GROUPS = {"conditions/attitude", "conditions/orbit"} SAFE_NAME_RE = re.compile( @@ -42,6 +40,16 @@ def make_product_name(safe_name: str) -> str: return product_name +QUALITY_GROUPS: dict[ + str, tuple[str, str, Callable[[dict[str, Any], dict[str, Any]], xr.Dataset]] +] = { + "quality/calibration": ( + "calibration", + "calibration", + eopf_sentinel1.open_calibration, + ), + "quality/noise_range": ("noise_range", "noise", eopf_sentinel1.open_noise_range), +} ANNOTATION_GROUPS: dict[str, Callable[[dict[str, Any]], xr.Dataset | None]] = { "conditions/antenna_pattern": eopf_sentinel1.open_antenna_pattern, "conditions/attitude": eopf_sentinel1.open_attitude, @@ -129,6 +137,16 @@ def open_datatree( pol_datasets.setdefault(eopf_group, {})[pol] = ds.drop_attrs( deep=False ) + for eopf_group, ( + group, + schema_type, + open_quality, + ) in QUALITY_GROUPS.items(): + if f"{swath}/{pol}/{group}" in groups: + xml_path = groups[f"{swath}/{pol}/{group}"][0] + xml_dict = esa_safe.parse_xml(xml_files[xml_path], schema_type) + quality = open_quality(xml_dict, annotations[pol]) + pol_datasets.setdefault(eopf_group, {})[pol] = quality for eopf_group, converter in ANNOTATION_GROUPS.items(): converted = converter(annotations[pol]) if converted is not None: diff --git a/xarray_sentinel/eopf_sentinel1.py b/xarray_sentinel/eopf_sentinel1.py index 4b35cf5..cd9c15b 100644 --- a/xarray_sentinel/eopf_sentinel1.py +++ b/xarray_sentinel/eopf_sentinel1.py @@ -7,6 +7,12 @@ from . import esa_safe ATTITUDE_VARIABLES = ["q0", "q1", "q2", "q3", "wx", "wy", "wz", "pitch", "roll", "yaw"] +CALIBRATION_VARIABLES = { + "sigma_nought": "sigmaNought", + "beta_nought": "betaNought", + "gamma": "gamma", + "dn": "dn", +} GCP_VARIABLES = { "latitude": "latitude", "longitude": "longitude", @@ -171,3 +177,67 @@ def open_coordinate_conversion(annotation: dict[str, Any]) -> xr.Dataset | None: "degree": np.arange(srgr_coefficients[0].size), } return xr.Dataset(data_vars=data_vars, coords=coords) + + +def range_coordinate( + pixel: np.ndarray, annotation: dict[str, Any] +) -> tuple[str, np.ndarray]: + product_information = esa_safe.get_tag( + annotation, "generalAnnotation/productInformation" + ) + image_information = esa_safe.get_tag(annotation, "imageAnnotation/imageInformation") + projection = product_information["projection"] + if projection == "Slant Range": + slant_range_time = ( + image_information["slantRangeTime"] + + pixel / product_information["rangeSamplingRate"] + ) + return "slant_range_time", slant_range_time + elif projection == "Ground Range": + return "ground_range", pixel * image_information["rangePixelSpacing"] + raise ValueError(f"unknown projection {projection!r}") + + +def open_range_vectors( + vectors: list[dict[str, Any]], + variables: dict[str, str], + annotation: dict[str, Any], +) -> xr.Dataset: + pixel = np.fromstring(vectors[0]["pixel"]["$"], dtype=int, sep=" ") + for vector in vectors: + if not np.array_equal( + np.fromstring(vector["pixel"]["$"], dtype=int, sep=" "), pixel + ): + raise ValueError("Unable to organise vectors in a regular line-pixel grid") + range_name, range_values = range_coordinate(pixel, annotation) + dims = ("azimuth_time", range_name) + data_vars = { + name: ( + dims, + [np.fromstring(v[tag]["$"], dtype=np.float32, sep=" ") for v in vectors], + ) + for name, tag in variables.items() + } + coords = { + "azimuth_time": [np.datetime64(v["azimuthTime"], "ns") for v in vectors], + range_name: range_values, + "line": ("azimuth_time", [v["line"] for v in vectors]), + "pixel": (range_name, pixel), + } + return xr.Dataset(data_vars=data_vars, coords=coords) + + +def open_calibration( + calibration: dict[str, Any], annotation: dict[str, Any] +) -> xr.Dataset: + vectors = esa_safe.get_tag(calibration, "calibrationVectorList/calibrationVector") + ds = open_range_vectors(vectors, CALIBRATION_VARIABLES, annotation) + ds.attrs["absolute_calibration_constant"] = esa_safe.get_tag( + calibration, "calibrationInformation/absoluteCalibrationConstant" + ) + return ds + + +def open_noise_range(noise: dict[str, Any], annotation: dict[str, Any]) -> xr.Dataset: + vectors = esa_safe.get_tag(noise, "noiseRangeVectorList/noiseRangeVector") + return open_range_vectors(vectors, {"noise_range_lut": "noiseRangeLut"}, annotation) From a87ec4b68b5e92733e96f6ef330200eacd891b24 Mon Sep 17 00:00:00 2001 From: Alessandro Amici Date: Sat, 17 Oct 2026 22:29:24 +0200 Subject: [PATCH 3/7] Compare the EOPF datatree with a target structure file Co-Authored-By: Claude Opus 5.5 --- docs/DATATREE.md | 7 +- tests/data/eopf/S01SIWSLC_target.json | 96 +++++++++++++++++++++++++++ tests/test_30_eopf_product.py | 41 +----------- 3 files changed, 103 insertions(+), 41 deletions(-) create mode 100644 tests/data/eopf/S01SIWSLC_target.json diff --git a/docs/DATATREE.md b/docs/DATATREE.md index f668b04..516f88f 100644 --- a/docs/DATATREE.md +++ b/docs/DATATREE.md @@ -202,9 +202,10 @@ adds converters to the step 1 registry, steps 10 and 11 come last. `build_stac_discovery`, while the registry openers and `open_pol_dataset` still parse their XML at every call. New converters take the `parse_xml` dict and use `get_tag`. - - `tests/test_30_eopf_product.py` compares each group with the CPM 3.0 burst node in - `tests/data/eopf/`. Groups not converted yet are marked `PENDING`, each step - removes the marks of its groups. + - `tests/test_30_eopf_product.py` compares each group with our target structure in + `tests/data/eopf/S01SIWSLC_target.json`, the CPM 3.0 burst node next to it with our + deliberate differences. Groups not converted yet are marked `PENDING`, each step + removes the marks of its groups and updates the target where it differs from EOPF. 1. Done: node names, `eopf_product.make_product_name` tested on the examples above. 1. Done: orbit, attitude, doppler_centroid, `eopf_sentinel1.open_orbit`, `open_attitude` and `open_doppler_centroid` with quirks 2 and 3, the bases of the `sentinel1` openers. diff --git a/tests/data/eopf/S01SIWSLC_target.json b/tests/data/eopf/S01SIWSLC_target.json new file mode 100644 index 0000000..2991802 --- /dev/null +++ b/tests/data/eopf/S01SIWSLC_target.json @@ -0,0 +1,96 @@ +{ + ".": {}, + "conditions": {}, + "conditions/antenna_pattern": { + "azimuth_time": [["azimuth_time"], "datetime64[ns]"], + "count": [["count"], "int64"], + "elevation_angle": [["polarization", "azimuth_time", "count"], "float32"], + "incidence_angle": [["polarization", "azimuth_time", "count"], "float32"], + "polarization": [["polarization"], " Date: Sat, 17 Oct 2026 22:45:25 +0200 Subject: [PATCH 4/7] Use the pixel range coordinate in gcp, ground_range for GRD Co-Authored-By: Claude Opus 5.5 --- docs/DATATREE.md | 22 +++++++++++++--------- tests/test_15_eopf_sentinel1.py | 11 ++++++++++- tests/test_30_xarray_backends.py | 4 +++- xarray_sentinel/eopf_sentinel1.py | 25 ++++++++++++++----------- xarray_sentinel/sentinel1.py | 25 ++++++++++--------------- 5 files changed, 50 insertions(+), 37 deletions(-) diff --git a/docs/DATATREE.md b/docs/DATATREE.md index 516f88f..15cd2ab 100644 --- a/docs/DATATREE.md +++ b/docs/DATATREE.md @@ -127,18 +127,20 @@ Still served by the sample service: one node per polarisation, swath and burst, |---|---|---| | `IW1/VV`, `IW1/VV/` | `measurements/slc`, `grd` | one node per burst instead of the swath image and burst crop, `measurement` is `slc` or `grd`, no `line`/`pixel`, product attrs move to the node | | `IW1/VV/orbit` | `conditions/orbit` | `(axis, azimuth_time)` is `(azimuth_time, axis)`, `axis` is `"x", "y", "z"` | -| `IW1/VV/attitude` | `conditions/attitude` | `q0` to `q3` are float32 | -| `IW1/VV/dc_estimate` | `conditions/doppler_centroid` | adds `fine_dce_azimuth_start_time` and `fine_dce_azimuth_stop_time` | -| `IW1/VV/gcp` | `conditions/gcp` | snake_case names, adds 2-D `azimuth_time_gcp` and `slant_range_time_gcp` | -| none, `open_antenna_pattern` is not exposed | `conditions/antenna_pattern` | `(azimuth_time, count)` with 2-D `slant_range_time_ap`, adds `swath` | +| `IW1/VV/attitude` | `conditions/attitude` | none | +| `IW1/VV/dc_estimate` | `conditions/doppler_centroid` | none | +| `IW1/VV/gcp` | `conditions/gcp` | snake_case names | +| none | `conditions/antenna_pattern` | EOPF only | | `IW/VV/coordinate_conversion`, GRD only | `conditions/coordinate_conversion` | snake_case names | | `IW1/VV/azimuth_fm_rate` | none | only in `other_metadata` | -| `IW1/VV/calibration` | `quality/calibration` | snake_case names, `(line, pixel)` is `(azimuth_time, slant_range_time\|ground_range)` | +| `IW1/VV/calibration` | `quality/calibration` | snake_case names, `(line, pixel)` is `(azimuth_time, slant_range_time\|ground_range)` with `line` and `pixel` as coordinates | | `IW1/VV/noise_range` | `quality/noise_range` | as calibration | -| `IW1/VV/noise_azimuth` | `quality/noise_azimuth` | snake_case names, `(swath, line)` is `(polarization, azimuth_time, swath)` | +| `IW1/VV/noise_azimuth` | `quality/noise_azimuth` | snake_case names, `(swath, line)` is `(azimuth_time, swath)` | | none | `burst_timing` attrs | per-line valid samples | -Replica, reference replica and terrain height are only in `other_metadata` in EOPF. +All EOPF groups except orbit and attitude also stack the polarisations along +`polarization`. Replica, reference replica and terrain height are only in +`other_metadata` in EOPF. ## EOPF quirks @@ -214,8 +216,10 @@ adds converters to the step 1 registry, steps 10 and 11 come last. attitude variables are float32, where EOPF has float64 for the angular velocity and the angles: pitch, roll and yaw are derived from the quaternions. 1. Done: gcp, `eopf_sentinel1.open_gcp` with snake_case names, 2-D annotated times, - quirk 1, and `line` and `pixel` as additional coordinates. It is the base of - `sentinel1.open_gcp_dataset`. + quirk 1, and `line` and `pixel` as additional coordinates. The range dimension comes + from `pixel` like in calibration: `ground_range` for GRD, where the annotated slant + range times vary along azimuth by up to 3 µs. It is the base of + `sentinel1.open_gcp_dataset`, so the xarray-sentinel GRD gcp uses `ground_range` too. 1. Done: calibration, noise_range, `eopf_sentinel1.open_calibration` and `open_noise_range` with snake_case names, range coordinate from `pixel` as `image_slant_range_time + pixel / range_sampling_rate` for SLC and diff --git a/tests/test_15_eopf_sentinel1.py b/tests/test_15_eopf_sentinel1.py index 29ff883..5ba5780 100644 --- a/tests/test_15_eopf_sentinel1.py +++ b/tests/test_15_eopf_sentinel1.py @@ -100,7 +100,16 @@ def test_open_gcp() -> None: assert dict(res.sizes) == {"azimuth_time": 10, "slant_range_time": 21} assert res.azimuth_time_gcp.dtype == "datetime64[ns]" assert (res.azimuth_time == res.azimuth_time_gcp.isel(slant_range_time=0)).all() - assert (res.slant_range_time == res.slant_range_time_gcp.isel(azimuth_time=0)).all() + np.testing.assert_allclose( + res.slant_range_time.values, + res.slant_range_time_gcp.isel(azimuth_time=0).values, + rtol=1e-12, + ) + + res = eopf_sentinel1.open_gcp(esa_safe.parse_xml(GRD_IW_VV_annotation)) + + assert res.latitude.dims == ("azimuth_time", "ground_range") + assert res.slant_range_time_gcp.dims == ("azimuth_time", "ground_range") def test_range_coordinate() -> None: diff --git a/tests/test_30_xarray_backends.py b/tests/test_30_xarray_backends.py index 7b13e43..0243653 100644 --- a/tests/test_30_xarray_backends.py +++ b/tests/test_30_xarray_backends.py @@ -154,10 +154,12 @@ def test_open_dataset_gcp( product_path: esa_safe.PathType, swath_pol: str, ) -> None: + range_dim = "ground_range" if "_GRD" in str(product_path) else "slant_range_time" + res = xr.open_dataset(product_path, engine="sentinel-1", group=f"{swath_pol}/gcp") assert isinstance(res, xr.Dataset) - assert set(res.sizes) == {"azimuth_time", "slant_range_time"} + assert set(res.sizes) == {"azimuth_time", range_dim} @pytest.mark.parametrize("product_path,swath_pol", SENTINEL1_PRODUCTS) diff --git a/xarray_sentinel/eopf_sentinel1.py b/xarray_sentinel/eopf_sentinel1.py index cd9c15b..06e400b 100644 --- a/xarray_sentinel/eopf_sentinel1.py +++ b/xarray_sentinel/eopf_sentinel1.py @@ -135,14 +135,15 @@ def open_gcp(annotation: dict[str, Any]) -> xr.Dataset: index = lines.index(point["line"]), pixels.index(point["pixel"]) for name, tag in GCP_VARIABLES.items(): grids[name][index] = point[tag] - # the annotated times of the first column and row, see quirk 1 in docs/DATATREE.md + range_name, range_values = range_coordinate(np.array(pixels), annotation) coords = { + # the annotated times of the first column, see quirk 1 in docs/DATATREE.md "azimuth_time": grids["azimuth_time_gcp"][:, 0], - "slant_range_time": grids["slant_range_time_gcp"][0], + range_name: range_values, "line": ("azimuth_time", lines), - "pixel": ("slant_range_time", pixels), + "pixel": (range_name, pixels), } - dims = ("azimuth_time", "slant_range_time") + dims = ("azimuth_time", range_name) data_vars = {name: (dims, grid) for name, grid in grids.items()} return xr.Dataset(data_vars=data_vars, coords=coords) @@ -188,14 +189,16 @@ def range_coordinate( image_information = esa_safe.get_tag(annotation, "imageAnnotation/imageInformation") projection = product_information["projection"] if projection == "Slant Range": - slant_range_time = ( - image_information["slantRangeTime"] - + pixel / product_information["rangeSamplingRate"] - ) - return "slant_range_time", slant_range_time + name = "slant_range_time" + start = image_information["slantRangeTime"] + step = 1 / product_information["rangeSamplingRate"] elif projection == "Ground Range": - return "ground_range", pixel * image_information["rangePixelSpacing"] - raise ValueError(f"unknown projection {projection!r}") + name = "ground_range" + start = 0.0 + step = image_information["rangePixelSpacing"] + else: + raise ValueError(f"unknown projection {projection!r}") + return name, start + pixel * step def open_range_vectors( diff --git a/xarray_sentinel/sentinel1.py b/xarray_sentinel/sentinel1.py index 51a022d..d235269 100644 --- a/xarray_sentinel/sentinel1.py +++ b/xarray_sentinel/sentinel1.py @@ -331,7 +331,8 @@ def open_gcp_dataset( data_var.attrs.update(attrs) ds.attrs.update(attrs) - footprint = get_footprint_linestring(ds.azimuth_time, ds.slant_range_time, ds) + range_coordinate = ds[ds.latitude.dims[1]] + footprint = get_footprint_linestring(ds.azimuth_time, range_coordinate, ds) geospatial_attrs = make_geospatial_attributes(footprint) ds.attrs.update(geospatial_attrs) @@ -340,29 +341,23 @@ def open_gcp_dataset( def get_footprint_linestring( azimuth_time: xr.DataArray, - slant_range_time: xr.DataArray, + range_coordinate: xr.DataArray, gcp: xr.Dataset, method: xr.core.types.InterpOptions = "linear", kwargs: dict[str, Any] = {"fill_value": "extrapolate"}, ) -> list[tuple[float, float]]: azimuth_time_mm = [azimuth_time.min(), azimuth_time.max()] - slant_range_time_mm = [slant_range_time.min(), slant_range_time.max()] + range_coordinate_mm = [range_coordinate.min(), range_coordinate.max()] footprint = [] for j, i in [(0, 0), (1, 0), (1, 1), (0, 1)]: - lat_array = gcp["latitude"].interp( - azimuth_time=azimuth_time_mm[j], - slant_range_time=slant_range_time_mm[i], - method=method, - kwargs=kwargs, - ) + corner = { + azimuth_time.name: azimuth_time_mm[j], + range_coordinate.name: range_coordinate_mm[i], + } + lat_array = gcp["latitude"].interp(corner, method=method, kwargs=kwargs) lat = round(lat_array.item(), 6) - lon_array = gcp["longitude"].interp( - azimuth_time=azimuth_time_mm[j], - slant_range_time=slant_range_time_mm[i], - method=method, - kwargs=kwargs, - ) + lon_array = gcp["longitude"].interp(corner, method=method, kwargs=kwargs) lon = round(lon_array.item(), 6) footprint.append((lon, lat)) From ff73173ad9e0e7f0834f78d6a58d0d09b0c29d8e Mon Sep 17 00:00:00 2001 From: Alessandro Amici Date: Sat, 17 Oct 2026 23:06:26 +0200 Subject: [PATCH 5/7] Add EOPF noise_azimuth in eopf_sentinel1 and a full GRD test product Co-Authored-By: Claude Opus 5.5 --- docs/DATATREE.md | 13 +- ...1122-20211223t051147-030148-039993-001.xml | 263 + ...1122-20211223t051147-030148-039993-001.xml | 10496 ++++++++++++++++ .../manifest.safe | 332 + ...122-20211223t051147-030148-039993-001.tiff | Bin 0 -> 434506 bytes tests/data/eopf/S01SIWSLC_target.json | 11 +- tests/test_15_eopf_sentinel1.py | 65 + tests/test_30_eopf_product.py | 18 +- xarray_sentinel/eopf_product.py | 15 +- xarray_sentinel/eopf_sentinel1.py | 45 + 10 files changed, 11239 insertions(+), 19 deletions(-) create mode 100644 tests/data/S1B_IW_GRDH_1SDV_20211223T051122_20211223T051147_030148_039993_5371.SAFE/annotation/calibration/calibration-s1b-iw-grd-vv-20211223t051122-20211223t051147-030148-039993-001.xml create mode 100644 tests/data/S1B_IW_GRDH_1SDV_20211223T051122_20211223T051147_030148_039993_5371.SAFE/annotation/s1b-iw-grd-vv-20211223t051122-20211223t051147-030148-039993-001.xml create mode 100644 tests/data/S1B_IW_GRDH_1SDV_20211223T051122_20211223T051147_030148_039993_5371.SAFE/manifest.safe create mode 100644 tests/data/S1B_IW_GRDH_1SDV_20211223T051122_20211223T051147_030148_039993_5371.SAFE/measurement/s1b-iw-grd-vv-20211223t051122-20211223t051147-030148-039993-001.tiff diff --git a/docs/DATATREE.md b/docs/DATATREE.md index 15cd2ab..5ecb420 100644 --- a/docs/DATATREE.md +++ b/docs/DATATREE.md @@ -135,7 +135,7 @@ Still served by the sample service: one node per polarisation, swath and burst, | `IW1/VV/azimuth_fm_rate` | none | only in `other_metadata` | | `IW1/VV/calibration` | `quality/calibration` | snake_case names, `(line, pixel)` is `(azimuth_time, slant_range_time\|ground_range)` with `line` and `pixel` as coordinates | | `IW1/VV/noise_range` | `quality/noise_range` | as calibration | -| `IW1/VV/noise_azimuth` | `quality/noise_azimuth` | snake_case names, `(swath, line)` is `(azimuth_time, swath)` | +| `IW1/VV/noise_azimuth` | `quality/noise_azimuth` | snake_case names, `(swath, line)` is `(azimuth_time, swath)` with `line` as coordinate | | none | `burst_timing` attrs | per-line valid samples | All EOPF groups except orbit and attitude also stack the polarisations along @@ -164,7 +164,10 @@ What we do in each case follows the decisions above. 1. `noise_azimuth`, from reading the code, not checked on data: times come from the linear grid of quirk 1, all swath columns share the `azimuth_time` of the last swath (GRD has several), blocks of a swath are concatenated keeping the first and last - line and sample of the first block only. + line and sample of the first block only. We use the burst-aware times of the + measurement grid and keep one `swath` entry per block, aligned on their lines, with + its own first and last line and sample: a swath label repeats when it has several + blocks. 1. Wrong `long_name`s, e.g. `doppler_centroid/azimuth_time` "of terrain height measurement" and `noise_range/line` "image pixel". @@ -227,7 +230,11 @@ adds converters to the step 1 registry, steps 10 and 11 come last. They need the annotation for the range coordinate while the `sentinel1` openers only get their own file, so these are EOPF only and the `sentinel1` openers keep their code. -1. noise_azimuth: from the existing opener, quirk 6. +1. Done: noise_azimuth, `eopf_sentinel1.open_noise_azimuth` with quirk 6, `line` as + additional coordinate, the LUT as float32 and the first and last lines and samples as + int64. `eopf_sentinel1.azimuth_time_coordinate` gives the azimuth time of any line, + identical to the measurement grid. EOPF only like calibration, as it needs the + annotation. 1. Done: antenna_pattern, and GRD coordinate_conversion. `eopf_product.ANNOTATION_GROUPS` holds the converters of the `parse_xml` annotation, a converter returns `None` when the product lacks the group. The GRD antenna patterns of different swaths are padded diff --git a/tests/data/S1B_IW_GRDH_1SDV_20211223T051122_20211223T051147_030148_039993_5371.SAFE/annotation/calibration/calibration-s1b-iw-grd-vv-20211223t051122-20211223t051147-030148-039993-001.xml b/tests/data/S1B_IW_GRDH_1SDV_20211223T051122_20211223T051147_030148_039993_5371.SAFE/annotation/calibration/calibration-s1b-iw-grd-vv-20211223t051122-20211223t051147-030148-039993-001.xml new file mode 100644 index 0000000..2c4b786 --- /dev/null +++ b/tests/data/S1B_IW_GRDH_1SDV_20211223T051122_20211223T051147_030148_039993_5371.SAFE/annotation/calibration/calibration-s1b-iw-grd-vv-20211223t051122-20211223t051147-030148-039993-001.xml @@ -0,0 +1,263 @@ + + + + S1B + GRD + VV + IW + IW + 2021-12-23T05:11:22.594441 + 2021-12-23T05:11:47.593146 + 30148 + 235923 + 001 + + + 1.393000e+00 + + + + 2021-12-23T05:11:22.594441 + 0 + 0 40 80 120 160 200 240 280 320 360 400 440 480 520 560 600 640 680 720 760 800 840 880 920 960 1000 1040 1080 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zYJZ)mi*>6W*PHrU!+&i5nou)qQLU~mwYQGd`MOaL>s5WOp*z~Y#?|y%P%CRw?XDwr zwyxFvdQl&1@UPpy#?;iBSIcWd?W{v}x~|mSdRFgiU}yW+sG3}JYH6*j?RB6|)}^{# zPwH)bs}a9x|C(5{YH_Wpt+lU?*M+)SkLq=OsbRa?zsA>$T3D-UbM2|4b*`@0gL+w? zYRGTfzsAz`dY*Hw0}*gnYE}^*OuB_$Lf6DsE75cKG)FSw||YR z>9wF%)~4EBN9t@{tNZn$KGxv9?O$VRYR#+VwV`&_p*mex>TW%&_cic`_ODSjx#rZ; zT36faK%J~hb-SL_+xk``_O*XatXZ|V*3{P8SI6r@-KrH*F;eT%bnou)qQLU~mwYQGd`MOaL z>s5WOp$FT)#?|y%P%CRw?XDwrwyxFvdQl&1@L$@$#?;iBSIcWd?W{v}x~|mSdRFgi z;86S5sG3}JYH6*j?RB6|)}^{#PwH)bs}X-~|C(5{YH_Wpt+lU?*M+)SkLq=OsbPoP zzsA>$T3D-UbM2|4b*`@0gL+w?YRKQ(zsAz`dY(}wtr2inYE}^ z*OuB_$Lf6DsE75cKG)EHw117O>9wF%)~4EBN9t@{tNZn$KGxu4?O$VRYR#+VwV`&_ zp*mex>TW%&_cid(_ODSjx#rZ;T36faK%J~hb-SL_+xk``j< None: @@ -150,3 +165,53 @@ def test_open_noise_range() -> None: assert dict(res.sizes) == {"azimuth_time": 10, "slant_range_time": 542} assert res.noise_range_lut.dtype == "float32" + + +def test_azimuth_time_coordinate() -> None: + annotation = esa_safe.parse_xml(SLC_IW1_VV_annotation) + swath_timing = esa_safe.get_tag(annotation, "swathTiming") + bursts = swath_timing["burstList"]["burst"] + line = np.array([0, swath_timing["linesPerBurst"]]) + + res = eopf_sentinel1.azimuth_time_coordinate(line, annotation) + + expected = [np.datetime64(b["azimuthTime"], "ns") for b in bursts[:2]] + np.testing.assert_array_equal(res, expected) + + annotation = esa_safe.parse_xml(GRD_IW_VV_annotation) + image_information = esa_safe.get_tag(annotation, "imageAnnotation/imageInformation") + line = np.array([0, image_information["numberOfLines"] - 1]) + + res = eopf_sentinel1.azimuth_time_coordinate(line, annotation) + + expected = [ + np.datetime64(image_information["productFirstLineUtcTime"], "ns"), + np.datetime64(image_information["productLastLineUtcTime"], "ns"), + ] + np.testing.assert_array_equal(res, expected) + + +def test_open_noise_azimuth() -> None: + res = eopf_sentinel1.open_noise_azimuth( + esa_safe.parse_xml(SLC_IW1_VV_noise, "noise"), + esa_safe.parse_xml(SLC_IW1_VV_annotation), + ) + + assert res.noise_azimuth_lut.dims == ("azimuth_time", "swath") + assert res.noise_azimuth_lut.dtype == "float32" + assert res.swath.values.tolist() == ["IW1"] + assert res.line.dims == ("azimuth_time",) + + res = eopf_sentinel1.open_noise_azimuth( + esa_safe.parse_xml(GRD_IW_2_VV_noise, "noise"), + esa_safe.parse_xml(GRD_IW_2_VV_annotation), + ) + + assert res.swath.values.tolist() == ["IW1", "IW2", "IW3"] + assert res.first_range_sample.values.tolist() == [0, 8890, 17701] + assert res.noise_azimuth_lut.count("azimuth_time").values.tolist() == [ + 1689, + 1688, + 1686, + ] + assert res.indexes["azimuth_time"].is_monotonic_increasing diff --git a/tests/test_30_eopf_product.py b/tests/test_30_eopf_product.py index bf0e264..cf60e9f 100644 --- a/tests/test_30_eopf_product.py +++ b/tests/test_30_eopf_product.py @@ -17,6 +17,10 @@ DATA_FOLDER / "S1A_S3_SLC__1SDV_20210401T152855_20210401T152914_037258_04638E_6001.SAFE" ) +GRD_IW_2 = ( + DATA_FOLDER + / "S1B_IW_GRDH_1SDV_20211223T051122_20211223T051147_030148_039993_5371.SAFE" +) SLC_IW_NODE = "S01SIWSLC_20210401T052622_0028_B150_EFA4_032297_IW1_0" # the CPM 3.0 burst node with our deliberate differences, see docs/DATATREE.md EXPECTED_SLC_IW_STRUCTURE = json.loads( @@ -61,6 +65,18 @@ def test_make_product_name_error() -> None: eopf_product.make_product_name("S2A_MSIL1C_20210403T101021_N0300_R022_T33TUM") +def test_open_datatree_grd() -> None: + res = eopf_product.open_datatree(GRD_IW_2, check_files_exist=True) + + assert list(res.children) == ["S01SIWGRD_20211223T051122_0025_B172_5371_039993"] + + node = res["S01SIWGRD_20211223T051122_0025_B172_5371_039993"] + + assert "coordinate_conversion" in node["conditions"].children + for group in ["conditions/gcp", "quality/calibration", "quality/noise_range"]: + assert "ground_range" in node[group].dims + + @pytest.fixture(scope="module") def slc_iw_node_structure() -> dict[str, dict[str, list[Any]]]: dt = eopf_product.open_datatree(SLC_IW, check_files_exist=True) @@ -110,7 +126,7 @@ def test_open_datatree_groups( "conditions/gcp", "conditions/orbit", "quality/calibration", - pytest.param("quality/noise_azimuth", marks=PENDING), + "quality/noise_azimuth", "quality/noise_range", ], ) diff --git a/xarray_sentinel/eopf_product.py b/xarray_sentinel/eopf_product.py index 0712cf7..007ecf6 100644 --- a/xarray_sentinel/eopf_product.py +++ b/xarray_sentinel/eopf_product.py @@ -11,9 +11,6 @@ from . import conventions, eopf_metadata, eopf_sentinel1, esa_safe, sentinel1 -EOPF_GROUPS: dict[str, tuple[str, Callable[..., xr.Dataset]]] = { - "quality/noise_azimuth": ("noise_azimuth", sentinel1.open_noise_azimuth_dataset), -} POLARIZATION_INDEPENDENT_GROUPS = {"conditions/attitude", "conditions/orbit"} SAFE_NAME_RE = re.compile( r"S(\d)(\w)_(\w{2})_(\w{3})\w_\w{4}_(\w{15})_(\w{15})_(\d{6})_(\w{6})_(\w{4})" @@ -48,6 +45,11 @@ def make_product_name(safe_name: str) -> str: "calibration", eopf_sentinel1.open_calibration, ), + "quality/noise_azimuth": ( + "noise_azimuth", + "noise", + eopf_sentinel1.open_noise_azimuth, + ), "quality/noise_range": ("noise_range", "noise", eopf_sentinel1.open_noise_range), } ANNOTATION_GROUPS: dict[str, Callable[[dict[str, Any]], xr.Dataset | None]] = { @@ -130,13 +132,6 @@ def open_datatree( for burst_id, burst in split_bursts(pol_dataset).items(): burst = burst.rename(measurement="slc").drop_attrs(deep=False) bursts.setdefault(burst_id, {})[pol] = burst - for eopf_group, (group, opener) in EOPF_GROUPS.items(): - if f"{swath}/{pol}/{group}" in groups: - xml_path = groups[f"{swath}/{pol}/{group}"][0] - ds = conventions.update_attributes(opener(xml_files[xml_path])) - pol_datasets.setdefault(eopf_group, {})[pol] = ds.drop_attrs( - deep=False - ) for eopf_group, ( group, schema_type, diff --git a/xarray_sentinel/eopf_sentinel1.py b/xarray_sentinel/eopf_sentinel1.py index 06e400b..22d726a 100644 --- a/xarray_sentinel/eopf_sentinel1.py +++ b/xarray_sentinel/eopf_sentinel1.py @@ -2,6 +2,7 @@ from typing import Any import numpy as np +import pandas as pd import xarray as xr from . import esa_safe @@ -244,3 +245,47 @@ def open_calibration( def open_noise_range(noise: dict[str, Any], annotation: dict[str, Any]) -> xr.Dataset: vectors = esa_safe.get_tag(noise, "noiseRangeVectorList/noiseRangeVector") return open_range_vectors(vectors, {"noise_range_lut": "noiseRangeLut"}, annotation) + + +def azimuth_time_coordinate(line: np.ndarray, annotation: dict[str, Any]) -> np.ndarray: + image_information = esa_safe.get_tag(annotation, "imageAnnotation/imageInformation") + swath_timing = esa_safe.get_tag(annotation, "swathTiming") + azimuth_time: np.ndarray = pd.date_range( + start=image_information["productFirstLineUtcTime"], + end=image_information["productLastLineUtcTime"], + periods=image_information["numberOfLines"], + ).to_numpy(dtype="datetime64[ns]", copy=True) + interval = pd.Timedelta(image_information["azimuthTimeInterval"] * 10**9, unit="ns") + lines_per_burst = swath_timing["linesPerBurst"] + for burst_index, burst in enumerate(swath_timing["burstList"].get("burst", [])): + start = lines_per_burst * burst_index + azimuth_time[start : start + lines_per_burst] = pd.date_range( + start=burst["azimuthTime"], periods=lines_per_burst, freq=interval + ) + return azimuth_time.take(line) + + +def open_noise_azimuth(noise: dict[str, Any], annotation: dict[str, Any]) -> xr.Dataset: + vectors = esa_safe.get_tag(noise, "noiseAzimuthVectorList/noiseAzimuthVector") + vector_datasets = [] + for vector in vectors: + line = np.fromstring(vector["line"]["$"], dtype=int, sep=" ") + noise_azimuth_lut = np.fromstring( + vector["noiseAzimuthLut"]["$"], dtype=np.float32, sep=" " + ) + data_vars = { + "noise_azimuth_lut": ("line", noise_azimuth_lut), + "first_azimuth_line": vector["firstAzimuthLine"], + "last_azimuth_line": vector["lastAzimuthLine"], + "first_range_sample": vector["firstRangeSample"], + "last_range_sample": vector["lastRangeSample"], + } + vector_dataset = xr.Dataset(data_vars=data_vars, coords={"line": line}) + vector_datasets.append(vector_dataset.expand_dims(swath=[vector["swath"]])) + # one swath entry per block on the lines of all blocks, see quirk 6 in docs/DATATREE.md + ds = xr.concat(vector_datasets, dim="swath", join="outer") + azimuth_time = azimuth_time_coordinate(ds.line.values, annotation) + ds = ds.assign_coords( + azimuth_time=("line", azimuth_time), swath=ds.swath.values.astype(str) + ) + return ds.swap_dims(line="azimuth_time").transpose("azimuth_time", "swath") From 36ef7c91619d73106e149933183c81e5dec385cc Mon Sep 17 00:00:00 2001 From: Alessandro Amici Date: Sat, 17 Oct 2026 23:14:08 +0200 Subject: [PATCH 6/7] Name, trim and chunk the EOPF measurements like the CPM Co-Authored-By: Claude Opus 5.5 --- docs/DATATREE.md | 12 +++++----- tests/data/eopf/S01SIWSLC_target.json | 2 ++ tests/test_30_eopf_product.py | 31 +++++++++++--------------- xarray_sentinel/eopf_product.py | 32 +++++++++++++++++++-------- 4 files changed, 45 insertions(+), 32 deletions(-) diff --git a/docs/DATATREE.md b/docs/DATATREE.md index 5ecb420..9bfaf29 100644 --- a/docs/DATATREE.md +++ b/docs/DATATREE.md @@ -125,7 +125,7 @@ Still served by the sample service: one node per polarisation, swath and burst, | xarray-sentinel `group=` | EOPF | Differences | |---|---|---| -| `IW1/VV`, `IW1/VV/` | `measurements/slc`, `grd` | one node per burst instead of the swath image and burst crop, `measurement` is `slc` or `grd`, no `line`/`pixel`, product attrs move to the node | +| `IW1/VV`, `IW1/VV/` | `measurements/slc`, `grd` | one node per burst instead of the swath image and burst crop, `measurement` is `slc` or `grd`, product attrs move to the node | | `IW1/VV/orbit` | `conditions/orbit` | `(axis, azimuth_time)` is `(azimuth_time, axis)`, `axis` is `"x", "y", "z"` | | `IW1/VV/attitude` | `conditions/attitude` | none | | `IW1/VV/dc_estimate` | `conditions/doppler_centroid` | none | @@ -175,7 +175,7 @@ What we do in each case follows the decisions above. - `line` and `pixel` coordinates: CPM 2.7 has them, the CPM 3.0 sample does not. The CPM 3.0 code drops them from calibration and noise but builds them for gcp. We keep - them in gcp, calibration and noise_range, as additional data is safe. + them in all groups that have them, as additional data is safe. - `azimuth_fm_rate`, needed by sarsen: in EOPF it is only `other_metadata[pol]["general_annotation"]["azimuth_fm_rate_list"]`. - `zarr_conventions`, `spatial:bbox` and `proj:code` on the CPM 3.0 sample come from the @@ -241,9 +241,11 @@ adds converters to the step 1 registry, steps 10 and 11 come last. with NaN along `count`. `eopf_sentinel1.open_coordinate_conversion` is the base of `sentinel1.open_coordinate_conversion_dataset`, `eopf_sentinel1.open_antenna_pattern` is EOPF only. -1. measurements: split TOPS SLC by burst with `crop_burst_dataset` on one lazy array per - swath and polarisation, quirk 4. Rename to `slc` or `grd`, keep only `long_name`, - set the CPM chunks. SM and GRD as one image, WV per vignette. +1. Done: measurements, `eopf_product.split_measurements` splits TOPS SLC by burst with + `crop_burst_dataset` on one lazy array per swath and polarisation, quirk 4. The + variable is `slc` or `grd` with only `long_name`, `line` and `pixel` as additional + coordinates and the CPM chunks. SM and GRD are one image. WV is not supported yet, as + xarray-sentinel finds one annotation per WV swath instead of one per vignette. 1. Attributes, in three parts: 1. `stac_discovery` of root and nodes following the CPM mapping keys `stac_discovery`, `stac_discovery_annotation` and diff --git a/tests/data/eopf/S01SIWSLC_target.json b/tests/data/eopf/S01SIWSLC_target.json index 235ecf3..7696522 100644 --- a/tests/data/eopf/S01SIWSLC_target.json +++ b/tests/data/eopf/S01SIWSLC_target.json @@ -59,6 +59,8 @@ }, "measurements": { "azimuth_time": [["azimuth_time"], "datetime64[ns]"], + "line": [["azimuth_time"], "int64"], + "pixel": [["slant_range_time"], "int64"], "polarization": [["polarization"], " dict[str, dict[str, list[Any]]]: @@ -73,6 +72,11 @@ def test_open_datatree_grd() -> None: node = res["S01SIWGRD_20211223T051122_0025_B172_5371_039993"] assert "coordinate_conversion" in node["conditions"].children + assert node["measurements/grd"].dims == ( + "polarization", + "azimuth_time", + "ground_range", + ) for group in ["conditions/gcp", "quality/calibration", "quality/noise_range"]: assert "ground_range" in node[group].dims @@ -103,6 +107,13 @@ def test_open_datatree_bursts() -> None: assert isinstance(slc, xr.DataArray) assert slc.dims == ("polarization", "azimuth_time", "slant_range_time") assert slc.polarization.values.tolist() == ["VH", "VV"] + assert slc.attrs == {"long_name": "digital number"} + assert slc.chunks is not None + assert {d: c[0] for d, c in zip(slc.dims, slc.chunks)} == { + "polarization": 1, + "azimuth_time": slc.sizes["azimuth_time"], + "slant_range_time": 4096, + } assert node["quality/calibration"].sizes["polarization"] == 2 assert "polarization" not in node["conditions/orbit"].dims @@ -113,23 +124,7 @@ def test_open_datatree_groups( assert slc_iw_node_structure.keys() == EXPECTED_SLC_IW_STRUCTURE.keys() -@pytest.mark.parametrize( - "group", - [ - ".", - "conditions", - "quality", - pytest.param("measurements", marks=PENDING), - "conditions/antenna_pattern", - "conditions/attitude", - "conditions/doppler_centroid", - "conditions/gcp", - "conditions/orbit", - "quality/calibration", - "quality/noise_azimuth", - "quality/noise_range", - ], -) +@pytest.mark.parametrize("group", sorted(EXPECTED_SLC_IW_STRUCTURE)) def test_open_datatree_group_structure( slc_iw_node_structure: dict[str, dict[str, list[Any]]], group: str ) -> None: diff --git a/xarray_sentinel/eopf_product.py b/xarray_sentinel/eopf_product.py index 007ecf6..4a9aaa6 100644 --- a/xarray_sentinel/eopf_product.py +++ b/xarray_sentinel/eopf_product.py @@ -62,14 +62,26 @@ def make_product_name(safe_name: str) -> str: } -def split_bursts(pol_dataset: xr.Dataset) -> dict[str | None, xr.Dataset]: - if "number_of_bursts" not in pol_dataset.attrs: - return {None: pol_dataset} +def split_measurements( + pol_dataset: xr.Dataset, name: str +) -> dict[str | None, xr.Dataset]: bursts: dict[str | None, xr.Dataset] = {} - for burst_index in range(pol_dataset.attrs["number_of_bursts"]): - burst = sentinel1.crop_burst_dataset(pol_dataset, burst_index=burst_index) - bursts[str(burst.attrs.get("burst_id", burst_index))] = burst - return bursts + if "number_of_bursts" in pol_dataset.attrs: + for burst_index in range(pol_dataset.attrs["number_of_bursts"]): + burst = sentinel1.crop_burst_dataset(pol_dataset, burst_index=burst_index) + bursts[str(burst.attrs.get("burst_id", burst_index))] = burst + azimuth_chunk = -1 + else: + bursts[None] = pol_dataset + azimuth_chunk = 4096 + measurements = {} + for burst_id, burst in bursts.items(): + measurement = burst.measurement.rename(name) + measurement.attrs = {"long_name": measurement.attrs["long_name"]} + # the CPM chunks, whole TOPS bursts along azimuth + chunks = {"azimuth_time": azimuth_chunk, measurement.dims[1]: 4096} + measurements[burst_id] = measurement.chunk(chunks).to_dataset() + return measurements def stack_polarizations(datasets: dict[str, xr.Dataset]) -> xr.Dataset: @@ -129,8 +141,10 @@ def open_datatree( measurement_path, xml_files[annotation_path], fs=fs ) pol_dataset = conventions.update_attributes(pol_dataset) - for burst_id, burst in split_bursts(pol_dataset).items(): - burst = burst.rename(measurement="slc").drop_attrs(deep=False) + measurement_name = common_attrs["product_type"].lower() + for burst_id, burst in split_measurements( + pol_dataset, measurement_name + ).items(): bursts.setdefault(burst_id, {})[pol] = burst for eopf_group, ( group, From f09174aae877eb35b957d26788555ba34df3a200 Mon Sep 17 00:00:00 2001 From: Alessandro Amici Date: Sat, 17 Oct 2026 23:43:34 +0200 Subject: [PATCH 7/7] Build the node stac_discovery like the CPM, fixing its STAC quirks Co-Authored-By: Claude Opus 5.5 --- docs/DATATREE.md | 37 ++++- tests/data/eopf/S01SIWSLC_target_attrs.json | 55 +++++++ tests/test_15_eopf_metadata.py | 11 +- tests/test_30_eopf_product.py | 25 +++ xarray_sentinel/eopf_metadata.py | 171 +++++++++++--------- xarray_sentinel/eopf_product.py | 16 +- 6 files changed, 226 insertions(+), 89 deletions(-) create mode 100644 tests/data/eopf/S01SIWSLC_target_attrs.json diff --git a/docs/DATATREE.md b/docs/DATATREE.md index 9bfaf29..12d2161 100644 --- a/docs/DATATREE.md +++ b/docs/DATATREE.md @@ -170,6 +170,20 @@ What we do in each case follows the decisions above. blocks. 1. Wrong `long_name`s, e.g. `doppler_centroid/azimuth_time` "of terrain height measurement" and `noise_range/line` "image pixel". +1. `stac_discovery`, the CPM mapping and formatters: + - `id` is the product class description, the same for all items. We use the node + name. + - `bbox` is `[max_lon, min_lat, min_lon, max_lat]` of the whole product footprint + while `geometry` is the burst footprint. We use `[min_lon, min_lat, max_lon, max_lat]` of `geometry`. + - `provider` instead of the STAC `providers`. + - `processing:datetime` is the acquisition time, `processing:version` the CPM mapping + version. We use the processing stop time and the IPF version. + - `sar:center_frequency` is in Hz instead of GHz. + - `sar:relative_burst` needs the SAR extension v1.3.1, the CPM declares v1.3.0. + - the eopf extension URL does not exist, we use + `https://cs-si.github.io/eopf-stac-extension/v1.2.0/schema.json`. + - `detectionPerformed` and `thermalNoiseCorrectionPerformed` are strings, we use + bools, `links` points to a Zarr v2 `.zattrs.json`, we use none. ## Open points @@ -246,14 +260,21 @@ adds converters to the step 1 registry, steps 10 and 11 come last. variable is `slc` or `grd` with only `long_name`, `line` and `pixel` as additional coordinates and the CPM chunks. SM and GRD are one image. WV is not supported yet, as xarray-sentinel finds one annotation per WV swath instead of one per vignette. -1. Attributes, in three parts: - 1. `stac_discovery` of root and nodes following the CPM mapping keys - `stac_discovery`, `stac_discovery_annotation` and - `stac_discovery_annotation_manifest`, extending `eopf_metadata.build_stac_discovery`. - 1. `other_metadata` extending `eopf_metadata.build_other_metadata`: `burst_timing` - with the node's burst merged in, drop empty `swath_merging` and the CPM - `DEPRECATED_ATTRS`, numeric lists instead of `$` strings, `t_0` as `t0`. - 1. `processing_history`. +1. Attributes, in four parts. `tests/data/eopf/S01SIWSLC_target_attrs.json` holds the + key and type tree of the node attributes, the CPM 3.0 burst node with our deliberate + differences. + 1. Done: node `stac_discovery`, `eopf_metadata.build_stac_discovery` following the + CPM mapping keys `stac_discovery`, `stac_discovery_annotation` and + `stac_discovery_annotation_manifest`, quirk 8. `geometry` is the node footprint + interpolated from the GCPs, `sar:relative_burst` is set when the product has + burst ids. The items validate against the declared STAC extensions. + 1. root `stac_discovery` and `other_metadata`. + 1. node `other_metadata` extending `eopf_metadata.build_other_metadata`: + `eopf_category`, `title`, `image_number`, `burst_timing` with the node's burst + merged in, drop empty `swath_merging`, numeric lists instead of `$` strings, + `t_0` as `t0`. We keep the CPM `DEPRECATED_ATTRS`. + 1. `processing_history`, by level from the manifest as in CPM 2.7, the CPM 3.0 one + is a single `"Unknown"` entry. 1. API and docs: `Sentinel1Backend.open_datatree` and `open_groups_as_dict`, README, this file. 1. Validation: convert one or two full SAFE products with CPM 3.0 in a throwaway diff --git a/tests/data/eopf/S01SIWSLC_target_attrs.json b/tests/data/eopf/S01SIWSLC_target_attrs.json new file mode 100644 index 0000000..bd61a7f --- /dev/null +++ b/tests/data/eopf/S01SIWSLC_target_attrs.json @@ -0,0 +1,55 @@ +{ + "stac_discovery": { + "assets": {}, + "bbox": "list", + "detectionPerformed": "bool", + "geometry": { + "coordinates": "list", + "type": "str" + }, + "id": "str", + "links": "list", + "properties": { + "constellation": "str", + "created": "str", + "datetime": "str", + "end_datetime": "str", + "eopf:datatake_id": "str", + "eopf:instrument_mode": "str", + "instruments": "list", + "mission": "str", + "platform": "str", + "processing:datetime": "str", + "processing:facility": "str", + "processing:lineage": "str", + "processing:software": { + "Sentinel-1 IPF": "str" + }, + "processing:version": "str", + "product:timeliness": "str", + "product:timeliness_category": "str", + "product:type": "str", + "providers": "list", + "sar:beam_ids": "list", + "sar:center_frequency": "float", + "sar:frequency_band": "str", + "sar:instrument_mode": "str", + "sar:observation_direction": "str", + "sar:pixel_spacing_azimuth": "float", + "sar:pixel_spacing_range": "float", + "sar:polarizations": "list", + "sar:relative_burst": "int", + "sat:absolute_orbit": "int", + "sat:anx_datetime": "str", + "sat:orbit_state": "str", + "sat:platform_international_designator": "str", + "sat:relative_orbit": "int", + "start_datetime": "str", + "view:incidence_angle": "float" + }, + "stac_extensions": "list", + "stac_version": "str", + "thermalNoiseCorrectionPerformed": "bool", + "type": "str" + } +} diff --git a/tests/test_15_eopf_metadata.py b/tests/test_15_eopf_metadata.py index 4208453..997a0cf 100644 --- a/tests/test_15_eopf_metadata.py +++ b/tests/test_15_eopf_metadata.py @@ -133,7 +133,14 @@ def test_build_stac_discovery(safe: pathlib.Path, annotation: pathlib.Path) -> N ) validator = stac_validator.StacValidate() - # HACK: the geometry appears to be correct, but it doesn't validate - result = validator.validate_dict(item | {"geometry": None}) + result = validator.validate_dict(item) assert result, validator.message + west, south, east, north = item["bbox"] + assert west < east and south < north + assert item["properties"]["product:type"].startswith("S01S") + start, end = ( + item["properties"]["start_datetime"], + item["properties"]["end_datetime"], + ) + assert start < item["properties"]["datetime"] < end diff --git a/tests/test_30_eopf_product.py b/tests/test_30_eopf_product.py index d8cc3c3..0e279b3 100644 --- a/tests/test_30_eopf_product.py +++ b/tests/test_30_eopf_product.py @@ -21,11 +21,18 @@ DATA_FOLDER / "S1B_IW_GRDH_1SDV_20211223T051122_20211223T051147_030148_039993_5371.SAFE" ) +SLC_IW_V340 = ( + DATA_FOLDER + / "S1A_IW_SLC__1SDH_20220414T102209_20220414T102236_042768_051AA4_E677.SAFE" +) SLC_IW_NODE = "S01SIWSLC_20210401T052622_0028_B150_EFA4_032297_IW1_0" # the CPM 3.0 burst node with our deliberate differences, see docs/DATATREE.md EXPECTED_SLC_IW_STRUCTURE = json.loads( (DATA_FOLDER / "eopf" / "S01SIWSLC_target.json").read_text() ) +EXPECTED_SLC_IW_ATTRS = json.loads( + (DATA_FOLDER / "eopf" / "S01SIWSLC_target_attrs.json").read_text() +) def datatree_structure(dt: xr.DataTree) -> dict[str, dict[str, list[Any]]]: @@ -38,6 +45,12 @@ def datatree_structure(dt: xr.DataTree) -> dict[str, dict[str, list[Any]]]: } +def attrs_structure(value: Any) -> Any: + if isinstance(value, dict): + return {key: attrs_structure(item) for key, item in value.items()} + return type(value).__name__ + + @pytest.mark.parametrize( "safe_name,expected", [ @@ -129,3 +142,15 @@ def test_open_datatree_group_structure( slc_iw_node_structure: dict[str, dict[str, list[Any]]], group: str ) -> None: assert slc_iw_node_structure.get(group) == EXPECTED_SLC_IW_STRUCTURE[group] + + +def test_open_datatree_attrs() -> None: + res = eopf_product.open_datatree(SLC_IW_V340, check_files_exist=True) + node = res.children["S01SIWSLC_20220414T102209_0027_A244_E677_051AA4_IW1_365915"] + stac_discovery = node.attrs["stac_discovery"] + + assert { + key: attrs_structure(node.attrs[key]) for key in EXPECTED_SLC_IW_ATTRS + } == EXPECTED_SLC_IW_ATTRS + assert stac_discovery["id"] == node.name + assert stac_discovery["properties"]["sar:relative_burst"] == 365915 diff --git a/xarray_sentinel/eopf_metadata.py b/xarray_sentinel/eopf_metadata.py index 39ae31b..6687b74 100644 --- a/xarray_sentinel/eopf_metadata.py +++ b/xarray_sentinel/eopf_metadata.py @@ -116,10 +116,23 @@ def build_other_metadata(annotation: dict[str, Any]) -> dict[str, Any]: return other_metadata +PRODUCT_TIMELINESS = {"Fast-24h": "PT24H", "NRT-3h": "PT3H"} +STAC_EXTENSIONS = [ + "https://cs-si.github.io/eopf-stac-extension/v1.2.0/schema.json", + "https://stac-extensions.github.io/product/v1.0.0/schema.json", + "https://stac-extensions.github.io/sat/v1.1.0/schema.json", + "https://stac-extensions.github.io/view/v1.1.0/schema.json", + "https://stac-extensions.github.io/processing/v1.2.0/schema.json", + "https://stac-extensions.github.io/sar/v1.3.1/schema.json", +] + + def build_stac_discovery( item_id: str, manifest_path: esa_safe.PathOrFileType, annotation: dict[str, Any], + footprint: list[tuple[float, float]] | None = None, + relative_burst: int | None = None, namespaces: dict[str, str] = esa_safe.SENTINEL1_NAMESPACES, ) -> dict[str, Any]: if hasattr(manifest_path, "seek"): @@ -130,93 +143,99 @@ def build_stac_discovery( annotation, "generalAnnotation/productInformation" ) image_information = esa_safe.get_tag(annotation, "imageAnnotation/imageInformation") + processing_information = esa_safe.get_tag( + annotation, "imageAnnotation/processingInformation" + ) - coordinates = [ - [float(v) for v in token.split(",")] - for token in esa_safe.findtext(manifest, ".//gml:coordinates").split() - ] - coordinates += coordinates[:1] - product_timeliness = esa_safe.findtext( + if footprint is None: + # the manifest footprint is in lat,lon order + footprint = [] + for token in esa_safe.findtext(manifest, ".//gml:coordinates").split(): + lat, lon = (float(v) for v in token.split(",")) + footprint.append((lon, lat)) + footprint.append(footprint[0]) + lons, lats = zip(*footprint) + + start_time = np.datetime64(esa_safe.findtext(manifest, ".//safe:startTime"), "us") + stop_time = np.datetime64(esa_safe.findtext(manifest, ".//safe:stopTime"), "us") + middle_time = start_time + (stop_time - start_time) // 2 + processing = manifest.find(".//safe:processing", namespaces=namespaces) + facility = manifest.find(".//safe:processing/safe:facility", namespaces=namespaces) + software = manifest.find(".//safe:facility/safe:software", namespaces=namespaces) + assert processing is not None and facility is not None and software is not None + mode = esa_safe.findtext(manifest, ".//s1sarl1:instrumentMode/s1sarl1:mode") + product_type = esa_safe.findtext(manifest, ".//s1sarl1:productType") + timeliness_category = esa_safe.findtext( manifest, ".//s1sarl1:productTimelinessCategory" ) - product_timeliness_map = { - "Fast-24h": { - "product:timeliness_category": "STC", - "product:timeliness": "PT24H", - }, - "NRT-3h": { - "product:timeliness_category": "NRT", - "product:timeliness": "PT3H", - }, + + properties = { + "mission": "copernicus", + "datetime": np.datetime_as_string(middle_time) + "Z", + "start_datetime": np.datetime_as_string(start_time) + "Z", + "end_datetime": np.datetime_as_string(stop_time) + "Z", + "created": processing.attrib["stop"] + "Z", + "platform": "sentinel-1" + + esa_safe.findtext(manifest, ".//safe:platform/safe:number").lower(), + "instruments": ["sar"], + "providers": [ + {"name": facility.attrib["name"], "roles": ["processor"]}, + {"name": facility.attrib["organisation"], "roles": ["producer"]}, + ], + "constellation": "sentinel-1", + "product:type": f"S01S{mode}{product_type}", + "product:timeliness_category": timeliness_category, + "product:timeliness": PRODUCT_TIMELINESS[timeliness_category], + "processing:datetime": processing.attrib["stop"] + "Z", + "processing:facility": facility.attrib["name"], + "processing:software": {software.attrib["name"]: software.attrib["version"]}, + "processing:version": software.attrib["version"], + "processing:lineage": "systematic", + "sat:platform_international_designator": esa_safe.findtext( + manifest, ".//safe:nssdcIdentifier" + ), + "sat:absolute_orbit": int(esa_safe.findall(manifest, ".//safe:orbitNumber")[0]), + "sat:relative_orbit": int( + esa_safe.findall(manifest, ".//safe:relativeOrbitNumber")[0] + ), + "sat:orbit_state": esa_safe.findtext(manifest, ".//s1:pass").lower(), + "sat:anx_datetime": esa_safe.findtext(manifest, ".//s1:ascendingNodeTime") + + "Z", + "view:incidence_angle": image_information["incidenceAngleMidSwath"], + "sar:polarizations": esa_safe.findall( + manifest, ".//s1sarl1:transmitterReceiverPolarisation" + ), + "sar:instrument_mode": mode, + "sar:frequency_band": "C", + "sar:center_frequency": product_information["radarFrequency"] / 1e9, + "sar:pixel_spacing_range": image_information["rangePixelSpacing"], + "sar:pixel_spacing_azimuth": image_information["azimuthPixelSpacing"], + "sar:observation_direction": "right", + "sar:beam_ids": esa_safe.findall( + manifest, ".//s1sarl1:instrumentMode/s1sarl1:swath" + ), + "eopf:datatake_id": esa_safe.findtext(manifest, ".//s1sarl1:missionDataTakeID"), + "eopf:instrument_mode": mode, } + if relative_burst is not None: + properties["sar:relative_burst"] = relative_burst stac_item = { "type": "Feature", "stac_version": "1.1.0", - "stac_extensions": [ - "https://stac-extensions.github.io/product/v0.1.0/schema.json", - "https://stac-extensions.github.io/processing/v1.2.0/schema.json", - "https://stac-extensions.github.io/sat/v1.0.0/schema.json", - "https://stac-extensions.github.io/view/v1.0.0/schema.json", - "https://stac-extensions.github.io/sar/v1.2.0/schema.json", - "https://cs-si.github.io/eopf-stac-extension/v1.2.0/schema.json", - ], + "stac_extensions": STAC_EXTENSIONS, "id": item_id, - "properties": { - "datetime": None, - "start_datetime": esa_safe.findtext(manifest, ".//safe:startTime") + "Z", - "end_datetime": esa_safe.findtext(manifest, ".//safe:stopTime") + "Z", - "created": manifest.find( - ".//safe:processing", namespaces=namespaces - ).attrib["stop"] # type: ignore - + "Z", - "platform": "sentinel-1" - + esa_safe.findtext(manifest, ".//safe:platform/safe:number").lower(), - "instruments": ["sar"], - "constellation": "sentinel-1", - "product:type": esa_safe.findtext(manifest, ".//s1sarl1:productType"), - "product:timeliness_category": product_timeliness_map[product_timeliness][ - "product:timeliness_category" - ], - "product:timeliness": product_timeliness_map[product_timeliness][ - "product:timeliness" - ], - "processing:software": manifest.find( - ".//safe:software", namespaces=namespaces - ).attrib, # type: ignore - "sat:platform_international_designator": esa_safe.findtext( - manifest, ".//safe:nssdcIdentifier" - ), - "sat:absolute_orbit": int( - esa_safe.findall(manifest, ".//safe:orbitNumber")[0] - ), - "sat:relative_orbit": int( - esa_safe.findall(manifest, ".//safe:relativeOrbitNumber")[0] - ), - "sat:orbit_state": esa_safe.findtext(manifest, ".//s1:pass").lower(), - "sat:anx_datetime": esa_safe.findtext(manifest, ".//s1:ascendingNodeTime") - + "Z", - "view:incidence_angle": image_information["incidenceAngleMidSwath"], - "sar:polarizations": esa_safe.findall( - manifest, ".//s1sarl1:transmitterReceiverPolarisation" - ), - "sar:instrument_mode": esa_safe.findtext( - manifest, ".//s1sarl1:instrumentMode/s1sarl1:mode" - ), - "sar:frequency_band": "C", - "sar:center_frequency": product_information["radarFrequency"] / 1e9, - "sar:pixel_spacing_range": image_information["rangePixelSpacing"], - "sar:pixel_spacing_azimuth": image_information["azimuthPixelSpacing"], - "sar:observation_direction": "right", - "sar:beam_ids": esa_safe.findall( - manifest, ".//s1sarl1:instrumentMode/s1sarl1:swath" - ), - "eopf:datatake_id": esa_safe.findtext( - manifest, ".//s1sarl1:missionDataTakeID" - ), + "geometry": { + "type": "Polygon", + "coordinates": [[list(point) for point in footprint]], }, - "geometry": {"type": "Polygon", "coordinates": [coordinates]}, + "bbox": [min(lons), min(lats), max(lons), max(lats)], + "properties": properties, "links": [], "assets": {}, + "detectionPerformed": processing_information["detectionPerformed"], + "thermalNoiseCorrectionPerformed": processing_information[ + "thermalNoiseCorrectionPerformed" + ], } return stac_item diff --git a/xarray_sentinel/eopf_product.py b/xarray_sentinel/eopf_product.py index 4a9aaa6..1f1eef7 100644 --- a/xarray_sentinel/eopf_product.py +++ b/xarray_sentinel/eopf_product.py @@ -162,9 +162,10 @@ def open_datatree( pol_datasets.setdefault(eopf_group, {})[pol] = converted other_metadata[pol] = eopf_metadata.build_other_metadata(annotations[pol]) - stac_discovery = eopf_metadata.build_stac_discovery( - "noid", manifest, annotations[pols[0]] - ) + annotation = annotations[pols[0]] + burst_list = esa_safe.get_tag(annotation, "swathTiming/burstList") + has_burst_ids = "burstId" in burst_list.get("burst", [{}])[0] + gcp = pol_datasets["conditions/gcp"][pols[0]] node_groups = {} for eopf_group, datasets in pol_datasets.items(): if eopf_group in POLARIZATION_INDEPENDENT_GROUPS: @@ -176,6 +177,15 @@ def open_datatree( node = product_name if burst_id is not None: node += f"_{swath}_{burst_id}" + measurement = burst_pols[pols[0]][measurement_name] + azimuth_time, range_coordinate = (measurement[d] for d in measurement.dims) + footprint = sentinel1.get_footprint_linestring( + azimuth_time, range_coordinate, gcp + ) + relative_burst = int(burst_id) if has_burst_ids and burst_id else None + stac_discovery = eopf_metadata.build_stac_discovery( + node, manifest, annotation, footprint, relative_burst + ) dt[node] = xr.Dataset( attrs={ "other_metadata": other_metadata,