Band pattern 'QA60' did not match any bands

[eshai90]

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I have an error when trying to download images from the year 2024. I can't download the new versions because I have functions that also give me errors.

Number of images available between 2024-01-01 and 2024-04-09:

• In Landsat Tier 1 & Sentinel-2 Level-1C:
  S2: 43 images
  L9: 16 images
  Total to download: 59 images
• In Landsat Tier 2 (not suitable for time-series analysis):
  Total Tier 2: 0 images

Downloading images:
S2: 43 images
32%

HttpError Traceback (most recent call last)
File ~.conda\envs\ELR5\lib\site-packages\ee\data.py:328, in _execute_cloud_call(call, num_retries)
327 try:
--> 328 return call.execute(num_retries=num_retries)
329 except googleapiclient.errors.HttpError as e:

File ~.conda\envs\ELR5\lib\site-packages\googleapiclient_helpers.py:134, in positional..positional_decorator..positional_wrapper(*args, **kwargs)
133 logger.warning(message)
--> 134 return wrapped(*args, **kwargs)

File ~.conda\envs\ELR5\lib\site-packages\googleapiclient\http.py:915, in HttpRequest.execute(self, http, num_retries)
914 if resp.status >= 300:
--> 915 raise HttpError(resp, content, uri=self.uri)
916 return self.postproc(resp, content)

HttpError: <HttpError 400 when requesting https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/value:compute?prettyPrint=false&alt=json returned "Image.select: Band pattern 'QA60' did not match any bands. Available bands: [B1, B2, B3, B4, B5, B6, B7, B8, B8A, B9, B10, B11, B12, MSK_CLASSI_OPAQUE, MSK_CLASSI_CIRRUS, MSK_CLASSI_SNOW_ICE]". Details: "Image.select: Band pattern 'QA60' did not match any bands. Available bands: [B1, B2, B3, B4, B5, B6, B7, B8, B8A, B9, B10, B11, B12, MSK_CLASSI_OPAQUE, MSK_CLASSI_CIRRUS, MSK_CLASSI_SNOW_ICE]">

During handling of the above exception, another exception occurred:

EEException Traceback (most recent call last)
Input In [7], in <cell line: 2>()
1 #4: Download Data (images)
----> 2 metadata = SDS_download.retrieve_images(inputs)

File ~\Documents\Codigos_MRS\Coastsat_ELR\coastsat\SDS_download.py:326, in retrieve_images(inputs)
324 ee_region_ms = adjust_polygon(inputs['polygon'],proj_ms)
325 ee_region_swir = adjust_polygon(inputs['polygon'],proj_swir)
--> 326 ee_region_mask = adjust_polygon(inputs['polygon'],proj_mask)
327 # download the ms, swir and QA bands from EE
328 count = 0

File ~\Documents\Codigos_MRS\Coastsat_ELR\coastsat\SDS_download.py:671, in adjust_polygon(polygon, proj)
669 polygon_ee = ee.Geometry.Polygon(polygon)
670 # convert polygon to image coordinates
--> 671 polygon_coords = np.array(ee.List(polygon_ee.transform(proj, 1).coordinates().get(0)).getInfo())
672 # make it a rectangle
673 xmin = np.min(polygon_coords[:,0])

File ~.conda\envs\ELR5\lib\site-packages\ee\computedobject.py:98, in ComputedObject.getInfo(self)
92 def getInfo(self):
93 """Fetch and return information about this object.
94
95 Returns:
96 The object can evaluate to anything.
97 """
---> 98 return data.computeValue(self)

File ~.conda\envs\ELR5\lib\site-packages\ee\data.py:738, in computeValue(obj)
735 if workload_tag:
736 body['workloadTag'] = workload_tag
--> 738 return _execute_cloud_call(
739 _get_cloud_api_resource().projects().value().compute(
740 body=body,
741 project=_get_projects_path(),
742 prettyPrint=False))['result']

File ~.conda\envs\ELR5\lib\site-packages\ee\data.py:330, in _execute_cloud_call(call, num_retries)
328 return call.execute(num_retries=num_retries)
329 except googleapiclient.errors.HttpError as e:
--> 330 raise _translate_cloud_exception(e)

EEException: Image.select: Band pattern 'QA60' did not match any bands. Available bands: [B1, B2, B3, B4, B5, B6, B7, B8, B8A, B9, B10, B11, B12, MSK_CLASSI_OPAQUE, MSK_CLASSI_CIRRUS, MSK_CLASSI_SNOW_ICE]

[LiteBrite82]

Hi @eshai90 ,

Thanks for being a part of the GitHub Community, we're glad you're here!

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Best of luck!