Error with not guessing the Resolution

[ngducphu]

Anyone has any idea how to fix this solution, I attached the code in the attachment for reference.

---

ValueError Traceback (most recent call last)
~\AppData\Local\Temp\ipykernel_32040\1725835586.py in
1 ## Get Sentinel-1-RTC Data
2 assests = ['vh','vv']
----> 3 train_band_values=crop_yield_data.progress_apply(lambda x: get_sentinel_data(x['Longitude'], x['Latitude'],x['Season(SA = Summer Autumn, WS = Winter Spring)'],assests), axis=1)
4 vh = [x[0] for x in train_band_values]
5 vv = [x[1] for x in train_band_values]

~\Anaconda3\lib\site-packages\tqdm\std.py in inner(df, func, *args, **kwargs)
812 # on the df using our wrapper (which provides bar updating)
813 try:
--> 814 return getattr(df, df_function)(wrapper, **kwargs)
815 finally:
816 t.close()

~\Anaconda3\lib\site-packages\pandas\core\frame.py in apply(self, func, axis, raw, result_type, args, **kwargs)
8846 kwargs=kwargs,
8847 )
-> 8848 return op.apply().finalize(self, method="apply")
8849
8850 def applymap(

~\Anaconda3\lib\site-packages\pandas\core\apply.py in apply(self)
731 return self.apply_raw()
732
--> 733 return self.apply_standard()
734
735 def agg(self):

~\Anaconda3\lib\site-packages\pandas\core\apply.py in apply_standard(self)
855
856 def apply_standard(self):
--> 857 results, res_index = self.apply_series_generator()
858
859 # wrap results

~\Anaconda3\lib\site-packages\pandas\core\apply.py in apply_series_generator(self)
871 for i, v in enumerate(series_gen):
872 # ignore SettingWithCopy here in case the user mutates
--> 873 results[i] = self.f(v)
874 if isinstance(results[i], ABCSeries):
875 # If we have a view on v, we need to make a copy because

~\Anaconda3\lib\site-packages\tqdm\std.py in wrapper(*args, **kwargs)
807 # take a fast or slow code path; so stop when t.total==t.n
808 t.update(n=1 if not t.total or t.n < t.total else 0)
--> 809 return func(*args, **kwargs)
810
811 # Apply the provided function (in **kwargs)

~\AppData\Local\Temp\ipykernel_32040\1725835586.py in (x)
1 ## Get Sentinel-1-RTC Data
2 assests = ['vh','vv']
----> 3 train_band_values=crop_yield_data.progress_apply(lambda x: get_sentinel_data(x['Longitude'], x['Latitude'],x['Season(SA = Summer Autumn, WS = Winter Spring)'],assests), axis=1)
4 vh = [x[0] for x in train_band_values]
5 vv = [x[1] for x in train_band_values]

~\AppData\Local\Temp\ipykernel_32040\270945426.py in get_sentinel_data(longitude, latitude, season, assests)
30 items.reverse()
31
---> 32 data = stac_load([items[1]],bands=bands_of_interest, patch_url=pc.sign, bbox=bbox_of_interest).isel(time=0)
33
34 for item in items:

~\Anaconda3\lib\site-packages\odc\stac_load.py in load(items, bands, groupby, resampling, dtype, chunks, pool, crs, resolution, anchor, geobox, bbox, lon, lat, x, y, like, geopolygon, progress, fail_on_error, stac_cfg, patch_url, preserve_original_order, **kw)
492
493 if gbox is None:
--> 494 raise ValueError("Failed to auto-guess CRS/resolution.")
495
496 if chunks is not None:

ValueError: Failed to auto-guess CRS/resolution.

`
Script using odc-stac module.docx
Crop_Yield_Data.csv

[SpacemanPaul]

odc-stac is no longer part of the odc-tools repository. Moving this to the odc-stac repo.

[Kirill888]

@ngducphu please provide more information

1. what version of the odc-stac library you are using and how it was installed (conda/pip)
2. what data are you trying to access (from what STAC catalog, which collection, sample query)
3. what versions of other libraries are installed, most likely this is a duplicate of Add work-around for projection extension version bump #106 and is related to mismatch of versions of projection extension between the data and software developed outside of this repository, see Handling STAC extension version upgrades stac-utils/pystac#448

[Kirill888]

pretty sure this was due to projection extension version mismatch between software and data. This has been fixed upstream in pystac.