The code in jupyter environment so I am able to run it in jupyter notebook in local env. and its taking ages to do but still showing in progress, when i try to do the same in colab or sage-maker its throwing issue like
ValueError: Failed to auto-guess CRS/resolution.Below is the error
ValueError
Cell In[20], line 3
1 ## Get Sentinel-1-RTC Data
Traceback (most recent call last)
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]
---> 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[e] for x in train_band_values] 5 vv = [x[1] for x in train_band_values]
Cell In[19], line 32, in get_sentinel_data(longitude, latitude, season, assests)
29 item items[0] =
30 items.reverse()
---> 32 data = stac_load([items [1]], bands-bands_of_interest, patch_url=pc.sign, bbox-bbox_of_interest).isel (time=0)
34 for item in items:
35 data = stac_load( [item], bands-bands_of_interest, patch_url=pc.sign, bbox=bbox_of_interest).isel (time=0)
File/anaconda3/envs/python3/lib/python3.18/site-packages/odc/stac/_load.py:494, 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)
476 gbox = output_geobox(
477 _parsed,
478 bands=bands,
(...)
490 y=y,
491 )
493 if gbox is None:
--> 494 raise ValueError("Failed to auto-guess CRS/resolution.")
496 if chunks is not None:
497 chunk_shape = resolve_chunk_shape(gbox, chunks)
ValueError: Failed to auto-guess CRS/resolution.
I already tried running in local but its taking ages
