Hi everyone,

This issue has been reported and described here. In my case, this happens setting config.sh_base_url to "https://creodias.sentinel-hub.com" to include Sentinel-3 and get a search iterator through a catalog.search() which is then used in a process API request as described here.

Thank you a lot in advance for your help!

Hi maintainers

On AWS-hosted Ubuntu 18.04 server,

import sentinelhub

fails with a segfault. On strace, something seems to be repeatedly opening and closing the same file:

openat(AT_FDCWD, "/home/ubuntu/tools/miniconda/envs/pyeo_env/share/proj/epsg", O_RDONLY) = 6
close(6)

Using sentinelhub in a conda environment, installed with pip. Python 3.7.3, numpy 1.16.4 - everything else as installed in the pip. I'll put my whole environment in the first comment.

Thanks,

How can I return an image I am using sentinelhub-py using a Process API for NDVI it returns an array how do I convert this array to an image.

I can't seem to get it work with PIL

some please help me

bbox is not created if the user doesn't specify it. I modified an already existing test in order to avoid doing too many requests. The modified test is test_multipart_geometry, since the results doesn't change from the previous version, where bbox was specified explicitly, I would say that there is no reason to create the bbox.

Hi @mlubej , I am trying to use the SI_LULC_pipeline.ipynb for a different AOI, namely, a state in India. When I read the shape file using GeoPandas, and print the dimensions, it displays that the dimensions are like 2 X 1 m^2. Then I tried using the filename.buffer(500), which is part of the code. Then when I plot it, I get the following output:

/opt/anaconda3/envs/geopython-environment/lib/python3.6/site-packages/ipykernel_launcher.py:4: UserWarning: Geometry is in a geographic CRS. Results from 'buffer' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.

after removing the cwd from sys.path.

Additionally, the plot of the state looks like a ball sometimes, or a crescent moon sometimes. How do I get the correct plot and correctly scaled dimensions so that I can apply the algorithm for this AOI?

Python 3.7.3.
>> pip freeze
aenum==2.2.3
boto3==1.10.47
botocore==1.13.47
certifi==2019.11.28
chardet==3.0.4
Click==7.0
cycler==0.10.0
docutils==0.15.2
idna==2.8
imagecodecs-lite==2019.12.3
jmespath==0.9.4
kiwisolver==1.1.0
matplotlib==3.1.2
numpy==1.18.1
Pillow==7.0.0
pyparsing==2.4.6
pyproj==2.4.2.post1
python-dateutil==2.8.1
requests==2.22.0
s3transfer==0.2.1
sentinelhub==2.6.1
Shapely==1.6.4.post2
six==1.13.0
tifffile==2019.7.26.2
urllib3==1.25.7
utm==0.5.0

I tried to create default SEntinel-5P template and custom empty template with 1 layer using SENTINEL-5P data. INSTANCE_ID is correct. in layer selected Source Sentinel-5P - L2. Try make request like this:

    conf_id = '%Here my instance id of default sentinel-hub SENTINEL-5P template%'
    layer = 'AER_AI_340_380'
    coords = [46.16, -16.15, 46.51, -15.58]
    bbox = BBox(bbox=coords, crs=CRS.WGS84)
    request = WcsRequest(data_folder='test_dir',
                                   data_source=DataSource.SENTINEL5P,
                                   layer=layer,
                                   bbox=bbox,
                                   time=('2018-12-15', '2020-01-08'),
                                   image_format=MimeType.TIFF_d32f,
                                   instance_id=conf_id)
    img = request.get_data(save_data=True)

But I get an Error

/home/mishka/Documents/python/venvs/sentinelhub/lib/python3.7/site-packages/pyproj/crs.py:77: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method.
  return _prepare_from_string(" ".join(pjargs))
/home/mishka/Documents/python/venvs/sentinelhub/lib/python3.7/site-packages/pyproj/crs.py:77: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method.
  return _prepare_from_string(" ".join(pjargs))
Traceback (most recent call last):
  File "/home/mishka/Documents/python/venvs/sentinelhub/lib/python3.7/site-packages/sentinelhub/download.py", line 236, in execute_download_request
    response.raise_for_status()
  File "/home/mishka/Documents/python/venvs/sentinelhub/lib/python3.7/site-packages/requests/models.py", line 940, in raise_for_status
    raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 400 Client Error: Bad Request for url: https://services.sentinel-hub.com/ogc/wfs/2c14d0df-74cd-477e-88e1-da5e711c6c48?SERVICE=wfs&REQUEST=GetFeature&TYPENAMES=S5p_L2.TILE&BBOX=-16.15%2C46.16%2C-15.58%2C46.51&OUTPUTFORMAT=application%2Fjson&SRSNAME=EPSG%3A4326&TIME=2018-12-15T00%3A00%3A00%2F2020-01-08T23%3A59%3A59&MAXCC=100.0&MAXFEATURES=100&FEATURE_OFFSET=0

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/mishka/Documents/python/venvs/sentinelhub/lib/python3.7/site-packages/sentinelhub/download.py", line 257, in execute_download_request
    raise DownloadFailedException(_create_download_failed_message(exception, request.url))
sentinelhub.download.DownloadFailedException: Failed to download from:
https://services.sentinel-hub.com/ogc/wfs/2c14d0df-74cd-477e-88e1-da5e711c6c48?SERVICE=wfs&REQUEST=GetFeature&TYPENAMES=S5p_L2.TILE&BBOX=-16.15%2C46.16%2C-15.58%2C46.51&OUTPUTFORMAT=application%2Fjson&SRSNAME=EPSG%3A4326&TIME=2018-12-15T00%3A00%3A00%2F2020-01-08T23%3A59%3A59&MAXCC=100.0&MAXFEATURES=100&FEATURE_OFFSET=0
with HTTPError:
400 Client Error: Bad Request for url: https://services.sentinel-hub.com/ogc/wfs/2c14d0df-74cd-477e-88e1-da5e711c6c48?SERVICE=wfs&REQUEST=GetFeature&TYPENAMES=S5p_L2.TILE&BBOX=-16.15%2C46.16%2C-15.58%2C46.51&OUTPUTFORMAT=application%2Fjson&SRSNAME=EPSG%3A4326&TIME=2018-12-15T00%3A00%3A00%2F2020-01-08T23%3A59%3A59&MAXCC=100.0&MAXFEATURES=100&FEATURE_OFFSET=0
Server response: "TYPENAME=S5p_L2.TILE is invalid!"

Hi,

I have been trying to fetch data using WMS, however, I get 503 status every time. Can someone help?

EDIT 1: The image returned in a blank white image. Also, server still returns a 503 status

Hi, I'm installing your model using pip in a Conda environment, like I did about a month ago where it worked. However, today it failed with this error.

λ pip install sentinelhub --upgrade
Collecting sentinelhub
  Using cached sentinelhub-1.1.1.tar.gz
Requirement already up-to-date: click in c:\users\user\appdata\local\continuum\anaconda3\envs\data_science\lib\site-packages (from sentinelhub)
Collecting cython (from sentinelhub)
  Using cached Cython-0.28.1-cp36-cp36m-win_amd64.whl
Collecting matplotlib (from sentinelhub)
  Using cached matplotlib-2.2.2-cp36-cp36m-win_amd64.whl
Collecting numpy (from sentinelhub)
  Using cached numpy-1.14.2-cp36-none-win_amd64.whl
Collecting opencv-python (from sentinelhub)
  Using cached opencv_python-3.4.0.12-cp36-cp36m-win_amd64.whl
Collecting pip==9.0.1 (from sentinelhub)
  Using cached pip-9.0.1-py2.py3-none-any.whl
Collecting pyproj (from sentinelhub)
  Using cached pyproj-1.9.5.1.tar.gz
    Complete output from command python setup.py egg_info:
    nad2bin.c
    nad2bin.c(129): warning C4244: '=': conversion from 'double' to 'float', possible loss of data
    nad2bin.c(130): warning C4244: '=': conversion from 'double' to 'float', possible loss of data
    nad2bin.c(137): warning C4244: '=': conversion from 'double' to 'float', possible loss of data
    nad2bin.c(138): warning C4244: '=': conversion from 'double' to 'float', possible loss of data
    nad2bin.c(352): warning C4244: '=': conversion from 'double' to 'float', possible loss of data
    nad2bin.c(353): warning C4244: '=': conversion from 'double' to 'float', possible loss of data
    pj_malloc.c
    Generating code
    Finished generating code
    LINK : fatal error LNK1158: cannot run 'rc.exe'
    using bundled proj4..
    Traceback (most recent call last):
      File "C:\Users\user\AppData\Local\Continuum\anaconda3\envs\data_science\lib\distutils\_msvccompiler.py", line 519, in link
        self.spawn([self.linker] + ld_args)
      File "C:\Users\user\AppData\Local\Continuum\anaconda3\envs\data_science\lib\distutils\_msvccompiler.py", line 542, in spawn
        return super().spawn(cmd)
      File "C:\Users\user\AppData\Local\Continuum\anaconda3\envs\data_science\lib\distutils\ccompiler.py", line 909, in spawn
        spawn(cmd, dry_run=self.dry_run)
      File "C:\Users\user\AppData\Local\Continuum\anaconda3\envs\data_science\lib\distutils\spawn.py", line 38, in spawn
        _spawn_nt(cmd, search_path, dry_run=dry_run)
      File "C:\Users\user\AppData\Local\Continuum\anaconda3\envs\data_science\lib\distutils\spawn.py", line 81, in _spawn_nt
        "command %r failed with exit status %d" % (cmd, rc))
    distutils.errors.DistutilsExecError: command 'C:\\Program Files (x86)\\Microsoft Visual Studio 14.0\\VC\\BIN\\x86_amd64\\link.exe' failed with exit status 1158

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "C:\Users\user\AppData\Local\Temp\pip-build-opj49wbm\pyproj\setup.py", line 74, in <module>
        cc.link_executable(objects, execname, extra_postargs = [ '/MANIFEST' ] if os.name == 'nt' else  None)
      File "C:\Users\user\AppData\Local\Continuum\anaconda3\envs\data_science\lib\distutils\ccompiler.py", line 734, in link_executable
        debug, extra_preargs, extra_postargs, None, target_lang)
      File "C:\Users\user\AppData\Local\Continuum\anaconda3\envs\data_science\lib\distutils\_msvccompiler.py", line 522, in link
        raise LinkError(msg)
    distutils.errors.LinkError: command 'C:\\Program Files (x86)\\Microsoft Visual Studio 14.0\\VC\\BIN\\x86_amd64\\link.exe' failed with exit status 1158

    ----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in C:\Users\user\AppData\Local\Temp\pip-build-opj49wbm\pyproj\

I asked Google about the error and found this fix, https://stackoverflow.com/a/44563421/7796217, which lets me install the model without any errors. However, this requires that I'm running the installation in a terminal with administrator permissions, else I get the following error:

Exception:
Traceback (most recent call last):
  File "c:\users\user\appdata\local\continuum\anaconda3\envs\data_science\lib\shutil.py", line 387, in _rmtree_unsafe
    os.unlink(fullname)
PermissionError: [WinError 5] Access is denied: 'C:\\Users\\user\\AppData\\Local\\Temp\\pip-ba9_depc-uninstall\\users\\user\\appdata\\local\\continuum\\anaconda3\\envs\\data_science\\lib\\site-packages\\matplotlib\\backends\\_backend_agg.cp36-win_amd64.pyd
'```

I hope you can find a solution such that the installation only requires to run `pip install sentinelhub --upgrade`.

Describe the bug

Unable to download Sentinel images from aws S3 that are earlier than 2018 as the productInfo.json url is invalid on roda.sentinel-hub.com

To Reproduce

Steps to reproduce the behavior:

1. Setup the aws credentials
2. Run sentinelhub.aws --product S2A_MSIL1C_20151125T095332_N0204_R079_T33TXL_20151125T095500
3. Check the error message on the terminal output

Expected behavior

A product with name: S2A_MSIL1C_20151125T095332_N0204_R079_T33TXL_20151125T095500.SAFE should have been downloaded on the current working directory.

Environment

Python 3.6.9 Dependencies:

aenum==3.1.0
asn1crypto==0.24.0
boto3==1.18.62
botocore==1.21.62
certifi==2021.10.8
chardet==4.0.0
click==7.1.2
cryptography==2.1.4
dataclasses==0.8
dataclasses-json==0.5.6
GDAL==2.2.2
geojson==2.5.0
geomet==0.3.0
html2text==2020.1.16
idna==2.6
jmespath==0.10.0
keyring==10.6.0
keyrings.alt==3.0
marshmallow==3.14.0
marshmallow-enum==1.5.1
mypy-extensions==0.4.3
numpy==1.19.5
oauthlib==3.1.1
Pillow==8.4.0
psycopg2==2.8.6
pycrypto==2.6.1
PyGObject==3.26.1
pyproj==3.0.1
python-apt==1.6.5+ubuntu0.7
python-dateutil==2.8.2
pyxdg==0.25
requests==2.25.1
requests-oauthlib==1.3.0
s3transfer==0.5.0
SecretStorage==2.3.1
sentinelhub==3.4.0
sentinelsat==0.13
Shapely==1.7.0
six==1.11.0
tifffile==2020.9.3
tqdm==4.62.3
typing-extensions==3.10.0.2
typing-inspect==0.7.1
unattended-upgrades==0.1
urllib3==1.26.7
utm==0.7.0

Stack trace or screenshots

[email protected]:/eo-tools/downloader/sentinelhub-downloader# sentinelhub.aws --product S2A_MSIL1C_20151125T095332_N0204_R079_T33TXL_20151125T095500
Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/sentinelhub/download/handlers.py", line 22, in new_download_func
    return download_func(self, request)
  File "/usr/local/lib/python3.6/dist-packages/sentinelhub/download/client.py", line 152, in _execute_download
    response.raise_for_status()
  File "/usr/local/lib/python3.6/dist-packages/requests/models.py", line 943, in raise_for_status
    raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://roda.sentinel-hub.com/sentinel-s2-l1c/products/2015/11/25/S2A_MSIL1C_20151125T095332_N0204_R079_T33TXL_20151125T095500/productInfo.json

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/usr/local/bin/sentinelhub.aws", line 8, in <module>
    sys.exit(aws())
  File "/usr/local/lib/python3.6/dist-packages/click/core.py", line 829, in __call__
    return self.main(*args, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/click/core.py", line 782, in main
    rv = self.invoke(ctx)
  File "/usr/local/lib/python3.6/dist-packages/click/core.py", line 1066, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/usr/local/lib/python3.6/dist-packages/click/core.py", line 610, in invoke
    return callback(*args, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/sentinelhub/commands.py", line 67, in aws
    download_safe_format(product_id=product, folder=folder, redownload=redownload, bands=band_list)
  File "/usr/local/lib/python3.6/dist-packages/sentinelhub/data_request.py", line 945, in download_safe_format
    AwsProductRequest(product_id, data_folder=folder, bands=bands, safe_format=True)
  File "/usr/local/lib/python3.6/dist-packages/sentinelhub/data_request.py", line 802, in __init__
    super().__init__(**kwargs)
  File "/usr/local/lib/python3.6/dist-packages/sentinelhub/data_request.py", line 758, in __init__
    super().__init__(AwsDownloadClient, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/sentinelhub/data_request.py", line 47, in __init__
    self.create_request()
  File "/usr/local/lib/python3.6/dist-packages/sentinelhub/data_request.py", line 807, in create_request
    metafiles=self.metafiles, config=self.config)
  File "/usr/local/lib/python3.6/dist-packages/sentinelhub/aws.py", line 338, in __init__
    self.product_info = client.get_json(self.get_url(AwsConstants.PRODUCT_INFO))
  File "/usr/local/lib/python3.6/dist-packages/sentinelhub/download/client.py", line 209, in get_json
    return self._single_download(request, decode_data=True)
  File "/usr/local/lib/python3.6/dist-packages/sentinelhub/download/client.py", line 119, in _single_download
    response_content = self._execute_download(request)
  File "/usr/local/lib/python3.6/dist-packages/sentinelhub/download/handlers.py", line 72, in new_download_func
    return download_func(self, request)
  File "/usr/local/lib/python3.6/dist-packages/sentinelhub/download/aws_client.py", line 29, in _execute_download
    return super()._execute_download(request)
  File "/usr/local/lib/python3.6/dist-packages/sentinelhub/download/handlers.py", line 44, in new_download_func
    return download_func(self, request)
  File "/usr/local/lib/python3.6/dist-packages/sentinelhub/download/handlers.py", line 27, in new_download_func
    raise DownloadFailedException(_create_download_failed_message(exception, request.url)) from exception
sentinelhub.exceptions.DownloadFailedException: Failed to download from:
https://roda.sentinel-hub.com/sentinel-s2-l1c/products/2015/11/25/S2A_MSIL1C_20151125T095332_N0204_R079_T33TXL_20151125T095500/productInfo.json
with HTTPError:
404 Client Error: Not Found for url: https://roda.sentinel-hub.com/sentinel-s2-l1c/products/2015/11/25/S2A_MSIL1C_20151125T095332_N0204_R079_T33TXL_20151125T095500/productInfo.json
Server response: ""

Desktop (please complete the following information):

• OS: Linux b745121c67a8 4.14.246-187.474.amzn2.x86_64 #1 SMP Tue Sep 7 21:48:11 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux

Additional context The same happens for all these products :

• S2A_MSIL2A_20160327T100012_N0201_R122_T33TWL_20160327T100012
• S2A_MSIL2A_20160426T100032_N0213_R122_T33TWL_20210121T125921
• S2A_MSIL2A_20170227T095021_N0204_R079_T33TWL_20170227T095613
• S2B_MSIL2A_20170804T100029_N0213_R122_T33TWL_20210107T074849

What is the problem? Please describe.

I want to explicitly specify the tile identifiers (tile id) instead of setting the region geometry in the Python Batch Processing API (as I understand it in the REST API the same thing) to setup the region for data processing.

What i tried to do

I want to download raw Senitnel1 (orthirectified, sigma0) & Sentinel2 (L1C) timed data. For this I am using a grid to slice the data. Since the data for Sentinel-Hub is prepared according to one of the GRIDs (tiling-grids), I decided to use the grid from sentinelhub.

Since I want to download data sliced by dates, I first select those tiles for which there is data for a certain date. Then I would like to download the tiles after selecting them. However, all selected tiles combined into one multipolygon cannot be given as geometry for downloading (geometry parameter in SeninelHubRequest) due to the constraint on geometry complexity. I would like to explicitly pass the Tiles IDs of the tiles to which I want to crawl the data (and independently control their selection), instead of implicitly specifying them through geometry.

Hello! Docker + Ubuntu 18.04 + Python 3.7:

FROM ubuntu:18.04 RUN apt-get update && apt-get install -y software-properties-common python3.7 python3-pip RUN pip3 install sentinelhub --upgrade

produces error:
imagecodecs/_aec.c:602:10: fatal error: libaec.h: No such file or directory #include "libaec.h" compilation terminated.

Will be grateful for the help. Sergey

What is the problem? Please describe.

Opposed to the UTM splitters, the BBoxSplitter does not accept a parameter bbox_size, but only a split_shape, splitting the AOI into n x m equally sized boxes. This limitation makes obtaining boxes of a certain pixel size unnecessarily complicated.

Here's the solution Below sample solution is basically a copy of the existing BBoxSplitter, the only change being the call

self.area_bbox.get_partition(size_x=size_x, size_y=size_y)

instead of

bbox_partition = self.area_bbox.get_partition(num_x=columns, num_y=rows)

as get_partition() already implements the necessary functionality to realize this feature request.

Sample solution:

class BBoxSplitterSize(AreaSplitter):
    """A tool that splits the given area into smaller parts. Given the area it calculates its bounding box and splits
    it into smaller bounding boxes of equal size. Then it filters out the bounding boxes that do not intersect the
    area. If specified by user it can also reduce the sizes of the remaining bounding boxes to best fit the area.
    """

    def __init__(
        self,
        shape_list: Iterable[Union[Polygon, MultiPolygon, _BaseGeometry]],
        crs: CRS,
        split_shape: Union[int, Tuple[int, int]],
        **kwargs: Any,
    ):
        """
        :param shape_list: A list of geometrical shapes describing the area of interest
        :param crs: Coordinate reference system of the shapes in `shape_list`
        :param split_shape: Parameter that describes the size of patches (in meters) into which the area bounding box will be split.
            It can be a tuple of the form `(width, height)` which means the area bounding box will be split into patches
            of size (width, height). It can also be a single integer `size` which is the same as `(size, size)`.
        :param reduce_bbox_sizes: If `True` it will reduce the sizes of bounding boxes so that they will tightly fit
            the given area geometry from `shape_list`.
        """
        self.split_shape = _parse_to_pair(split_shape, allowed_types=(int,), param_name="split_shape")
        super().__init__(shape_list, crs, **kwargs)

    def _make_split(self) -> Tuple[List[BBox], List[Dict[str, object]]]:
        size_x, size_y = self.split_shape
        bbox_partition = self.area_bbox.get_partition(size_x=size_x, size_y=size_y)

        columns = len(bbox_partition)
        rows = len(bbox_partition[0])

        bbox_list, info_list = [], []
        for i, j in itertools.product(range(columns), range(rows)):
            if self._intersects_area(bbox_partition[i][j]):
                bbox_list.append(bbox_partition[i][j])

                info = {"parent_bbox": self.area_bbox, "index_x": i, "index_y": j}
                info_list.append(info)

        return bbox_list, info_list

Alternatively, this behavior can of course be integrated into the existing BBoxSplitter.

Best, Colin

Describe the bug

The above happens if a batch request is defined with the bbox parameter and not the geometry parameter. This causes issues with the following code.

from sentinelhub import BatchSplitter
from matplotlib.patches import Patch

splitter = BatchSplitter(batch_request=batch_request, config=config)
splitter.get_bbox_list()

the error

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/var/folders/f7/wf5f4ngj0mxd5xrdjzqz7vyr0000gn/T/ipykernel_57279/4253228497.py in <module>
      2 from matplotlib.patches import Patch
      3 
----> 4 splitter = BatchSplitter(batch_request=batch_request, config=config)
      5 splitter.get_bbox_list()

~/.pyenv/versions/3.8.7/envs/am/lib/python3.8/site-packages/sentinelhub/areas.py in __init__(self, request_id, batch_request, config)
    714         self.batch_request = batch_request
    715 
--> 716         batch_geometry = batch_request.geometry
    717         super().__init__([batch_geometry.geometry], batch_geometry.crs)
    718 

~/.pyenv/versions/3.8.7/envs/am/lib/python3.8/site-packages/sentinelhub/sentinelhub_batch.py in geometry(self)
    648         _, geometry, crs = self._parse_bounds_payload()
    649         if geometry is None:
--> 650             raise ValueError('Geometry is not defined for this batch request')
    651         return Geometry(geometry, crs)
    652 

ValueError: Geometry is not defined for this batch request

The issue is in the assumption made in https://github.com/sentinel-hub/sentinelhub-py/blob/develop/sentinelhub/areas.py#L647

To Reproduce

Steps to reproduce the behavior:

1. define request with bbox
2. define batch request
3. use batch splitter

Expected behavior

no crash

Environment

• Python 3.8.7
• latest develop of sentinelhub-py

Stack trace or screenshots

Desktop (please complete the following information):

• macOS Monterey 12.6
• VSCode

A QGIS Python environment doesn't have all dependencies of sentinelhub-py and some are too complicated to be shipped with the plugin. Therefore, this solution handles missing dependencies with a warning instead of an error. Therefore the package can work without them.

What is the problem? Please describe.

Sometimes we're working with multiple SH credentials on multiple projects. In order not to have multiple files or repos cloned, it would be beneficial to have a profiles file, like in AWS case, and just provide the profile name.

What is the problem? Please describe.

I tried to follow the first example provided in the documentation https://sentinelhub-py.readthedocs.io/en/latest/examples/process_request.html#Imports and got stuck when trying to render the downloaded image - the example notebook references utils.plot_image which I have no idea how to get to.

Here's the solution ?

Alternatives

• Provide the utility function on each example page.
• provide the plot_image as part of the sentinelhub-py package
• make some other mention (e.g. in the imports section) to help the user get to this function (e.g. link to https://github.com/sentinel-hub/sentinelhub-py/blob/master/examples/utils.py)

What is the problem? Please describe.

It would be really cool if the batch status plotting functionality would be available officially, and perhaps even possible to use it in the monitor_batch_job, which already regularly updates the progress bar (it could also regularly produce plots). They are sometimes more intuitive in cases where things go wrong (or just nice to look at/create a timelapse/..)

Here's the solution

I can help once the updates start happening to the repo