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Get the bounding box from the HDF EOS level-1 files and pass it to the array attributes #3399

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Get the bounding box from the HDF EOS level-1 files and pass it to the array attributes #3399

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055e299
Get the gringpoint (bounding box) data from the HDF EOS files, and pa…
May 21, 2026
a3e833b
Fix the unit tests
May 21, 2026
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9 changes: 8 additions & 1 deletion satpy/readers/core/hdfeos.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2019 Satpy developers
# Copyright (c) 2019-2026 Satpy developers
#
# This file is part of satpy.
#
Expand Down Expand Up @@ -122,6 +122,7 @@ def _load_all_metadata_attributes(self):
continue
else:
metadata.update(self.read_mda(str_val))

return metadata

@classmethod
Expand Down Expand Up @@ -225,6 +226,7 @@ def load_dataset(self, dataset_name, is_category=False):
dataset = self._read_dataset_in_file(dataset_name)
chunks = self._chunks_for_variable(dataset)
dask_arr = from_sds(dataset, self.filename, chunks=chunks)
#breakpoint()
dims = ("y", "x") if dask_arr.ndim == 2 else None
data = xr.DataArray(dask_arr, dims=dims,
attrs=dataset.attributes())
Expand Down Expand Up @@ -385,6 +387,11 @@ def get_dataset(self, dataset_id: DataID, dataset_info: dict) -> xr.DataArray:
data.attrs[key] = dataset_info[key]
self._add_satpy_metadata(dataset_id, data)

# mask = (~data.isnull().all(dim="x")).compute()
# idx = np.where(mask.values)[0]
# data_reduced = data.isel(y=idx)
# print(data_reduced.shape)

return data

def get_interpolated_dataset(self, dataset_name: str, resolution: int) -> xr.DataArray:
Expand Down
52 changes: 23 additions & 29 deletions satpy/readers/modis_l1b.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2010-2017 Satpy developers
# Copyright (c) 2010-2026 Satpy developers
#
# This file is part of satpy.
#
Expand Down Expand Up @@ -104,6 +104,14 @@ def __init__(self, filename, filename_info, filetype_info, mask_saturated=True,
super().__init__(filename, filename_info, filetype_info, **kwargs)
self._mask_saturated = mask_saturated

gringpoint = self.metadata["INVENTORYMETADATA"]["SPATIALDOMAINCONTAINER"][
"HORIZONTALSPATIALDOMAINCONTAINER"]["GPOLYGON"]["GPOLYGONCONTAINER"]["GRINGPOINT"]
bbox = {"longitudes": gringpoint["GRINGPOINTLONGITUDE"]["VALUE"],
"latitudes": gringpoint["GRINGPOINTLATITUDE"]["VALUE"]}
self._boundingbox = bbox
# Add the sub-satellite track geolocation as well if available? FIXME!
# Seems this is repeated for every HDF-EOS file being read.

ds = self.metadata["INVENTORYMETADATA"][
"COLLECTIONDESCRIPTIONCLASS"]["SHORTNAME"]["VALUE"]
self.resolution = self.res[ds[-3]]
Expand All @@ -126,37 +134,17 @@ def get_dataset(self, key, info):
array = self._fill_saturated(array, valid_max)
array = self._mask_invalid(array, valid_min, valid_max)
array = self._mask_uncertain_pixels(array, uncertainty, band_index)
# array = self._mask_rows_all_nan(array)
info["boundingbox"] = self._boundingbox
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@djhoese djhoese May 21, 2026

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"bbox"? And I wonder if this should go in the .attrs["orbital_parameters"]?

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@djhoese djhoese May 21, 2026

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Eh I guess it isn't "orbital" though. Nevermind. Ohand I just realized this is a draft. Sorry for early review.

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@adybbroe adybbroe May 21, 2026

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Do you prefer bbox over boundingbox? Or should it be bounding_box?

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@adybbroe adybbroe May 21, 2026

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...and yes "orbital_parameters" sounds reasonable

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@djhoese djhoese May 21, 2026

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I think I prefer bbox but bounding_box is maybe OK too. I think I take back what I said about orbital_parameters. I'm not sure it should go there. I think long term it will go in the .attrs of the future SwathDefinition, but the .attrs of the DataArray is good enough for now. But I also still think the min/max of all lon/lats is the way to fix this in pyresample. This bbox solution is a larger undertaking that needs discussion.

projectable = self._calibrate_data(key, info, array, var_attrs, band_index)

# if ((platform_name == 'Aqua' and key['name'] in ["6", "27", "36"]) or
# (platform_name == 'Terra' and key['name'] in ["29"])):
# height, width = projectable.shape
# row_indices = projectable.mask.sum(1) == width
# if row_indices.sum() != height:
# projectable.mask[row_indices, :] = True

# Get the orbit number
# if not satscene.orbit:
# mda = self.data.attributes()["CoreMetadata.0"]
# orbit_idx = mda.index("ORBITNUMBER")
# satscene.orbit = mda[orbit_idx + 111:orbit_idx + 116]

# Trimming out dead sensor lines (detectors) on terra:
# (in addition channel 27, 30, 34, 35, and 36 are nosiy)
# if satscene.satname == "terra":
# for band in ["29"]:
# if not satscene[band].is_loaded() or satscene[band].data.mask.all():
# continue
# width = satscene[band].data.shape[1]
# height = satscene[band].data.shape[0]
# indices = satscene[band].data.mask.sum(1) < width
# if indices.sum() == height:
# continue
# satscene[band] = satscene[band].data[indices, :]
# satscene[band].area = geometry.SwathDefinition(
# lons=satscene[band].area.lons[indices, :],
# lats=satscene[band].area.lats[indices, :])
self._add_satpy_metadata(key, projectable)

# mask = (~projectable.isnull().all(dim="x")).compute()
# idx = np.where(mask.values)[0]
# data_reduced = projectable.isel(y=idx)
# print(data_reduced.shape)

return projectable

def _get_band_variable_name_and_index(self, band_name):
Expand Down Expand Up @@ -213,11 +201,17 @@ def _mask_invalid(self, array, valid_min, valid_max):
def _mask_uncertain_pixels(self, array, uncertainty, band_index):
if not self._mask_saturated:
return array

uncertainty_chunks = self._chunks_for_variable(uncertainty)
band_uncertainty = from_sds(uncertainty, self.filename, chunks=uncertainty_chunks)[band_index, :, :]
array = array.where(band_uncertainty < 15)
return array

def _mask_rows_all_nan(self, array):
"""Mask rows where all values are NaN."""
arr_reduced = array.dropna(dim="y", how="all")
return arr_reduced

def _calibrate_data(self, key, info, array, var_attrs, index):
if key["calibration"] == "brightness_temperature":
projectable = calibrate_bt(array, var_attrs, index, key["name"])
Expand Down
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