chore(deps): Bump rio-tiler from 7.2.2 to 7.4.0 in /flooding/sentinel2_water_extraction

[dependabot]

Bumps rio-tiler from 7.2.2 to 7.4.0.

Release notes

Sourced from rio-tiler's releases.

7.4.0

What's Changed

• Xarray: add indexes options and better define band names by @​vincentsarago in cogeotiff/rio-tiler#764
• add tests for stac projection extension 2.0 by @​vincentsarago in cogeotiff/rio-tiler#783
• Reproject method for ImageData by @​emmanuelmathot in cogeotiff/rio-tiler#782

Full Changelog: cogeotiff/rio-tiler@7.3.0...7.4.0

7.3.0

What's Changed

• remove python 3.8 and add python 3.13 by @​vincentsarago in cogeotiff/rio-tiler#773
• Fix issue #774: Use coverage array for calculation of valid_percent by @​MarcelCode in cogeotiff/rio-tiler#775

New Contributors

• @​MarcelCode made their first contribution in cogeotiff/rio-tiler#775

Full Changelog: cogeotiff/rio-tiler@7.2.2...7.3.0

Changelog

Sourced from rio-tiler's changelog.

7.4.0 (2025-01-28)

• update rasterio dependency to >=1.4.0

• add reproject method for ImageData objects (author @​emmanuelmathot, cogeotiff/rio-tiler#782)

  from rio_tiler.models import ImageData
  img = ImageData(numpy.zeros((3, 256, 256), crs=CRS.from_epsg(4326), dtype="uint8"))
  img_3857 = img.reproject("epsg:3857")

• add indexes parameter for XarrayReader methods. As for Rasterio, the indexes values start at 1.

  data = ... # DataArray of shape (2, x, y)
  before
  with XarrayReader(data) as dst:
  img = dst.tile(0, 0, 0)
  assert img.count == 2
  now
  with XarrayReader(data) as dst:
  # Select the first band within the data array
  img = dst.tile(0, 0, 0, indexes=1)
  assert img.count == 1

• better define band names for XarrayReader objects

  • band_name for 2D dataset is extracted form the first non-geo coordinates value

    data = xarray.DataArray(
        numpy.arange(0.0, 33 * 35 * 2).reshape(2, 33, 35),
        dims=("time", "y", "x"),
        coords={
            "x": numpy.arange(-170, 180, 10),
            "y": numpy.arange(-80, 85, 5),
            "time": [datetime(2022, 1, 1), datetime(2022, 1, 2)],
        },
    )
    da = data[0]
    print(da.coords["time"].data)
    >> array('2022-01-01T00:00:00.000000000', dtype='datetime64[ns]'))
    before

... (truncated)

Commits

• 7db311c Bump version: 7.3.0 → 7.4.0
• 3fc6e48 remove useless <3.9 dependencies
• ec83f59 update changelog
• 8a47991 Reproject method for ImageData (#782)
• 3fbeaf3 add tests for stac projection extension 2.0 (#783)
• 4c1b2a6 make sure transform is an Affine object [backport 7.3.1]
• b570b26 Xarray: add indexes options and better define band names (#764)
• acab661 Bump version: 7.2.2 → 7.3.0
• 6fbfb91 update changelog
• 0b4aa5a update changelog
• Additional commits viewable in compare view

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