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to add to this - it looks like when you search the landsat and the sentinel collections separately, it does work, and then you can just combine the item collections (see attached pdf with a minimal example)

Following!

Hi @dakini , I believe this could be because GEDI provides height about the WGS84 reference ellipsoid and the ESA DEM provides the height above the EGM2008 geoid. I think the accepted reply in this link: https://gis.stackexchange.com/questions/442454/is-egm2008-different-to-wgs84-ellipsoid has a fig...

Thanks! it being in the known issues would be grand

Hey @afriesz, thanks for your reply! The workaround does indeed work. Thanks for pointing me in the right direction. Interestingly enough, it seems like that warning is no longer appearing without the `add_conforms_to('COLLECTIONS')` bit, and a lot more datasets are listed, including the HLS product...

Hello, thank you very much for your reply, this definitely solves the mystery! I remember thinking about this as a potential cause back in the day, but I didn't see anything in the user guide, on a quick look again, I don't think it's there. Is there plans for updating it in the future? If so, it wo...

Hi! In my experience - some assets are corrupted or hold no data - you can verify this by download that specific asset and try to open it with gdal, or loading it into QGIS. An option is to find these assets and remove the items from your search (and probably notifying the data provider so they can ...

Hi Mitch, thanks for your help, the `limit` parameter is an absolute game changer, and thanks for the pointer for the other tutorial. I just wanted to bring attention back to the stac catalogue doesn't seem to properly index the HLS data (e.g. not appearing when you .get_collections()) Is this inten...

Hi all, I'm having a very similar issue in a ~equator area, missing tiles from the STAC collection for december 2020. Code to reproduce it follows: [code] import pystac_client hls_collections = ["HLSS30.v2.0"] cmr_catalog = pystac_client.Client.open("https://cmr.earthdata.nasa.gov/sta...

Definitely, doing smaller tiles helps, it also helps by having less nans in the time dimension when you ingest as an xarray. However for some workflows it feels a bit cumbersome to have to loop through the fishnet. Ultimately, I don't think these searches should take that long (as is evidenced by th...