Fix handling for HTTPFileSystem URIs

[alexgleith]

In order to load EMIT data over HTTP, it's best to use a token to authenticate using fsspec as documented in this comment.

This below is working code, but it requires this attached fix.

s3_url = "s3://lp-prod-protected/EMITL2ARFL.001/EMIT_L2A_RFL_001_20230123T004529_2302216_003/EMIT_L2A_RFL_001_20230123T004529_2302216_003.nc"
s3_url = s3_url.replace("s3://", "https://data.lpdaac.earthdatacloud.nasa.gov/")

fs = HTTPFileSystem(headers={
    "Authorization": f"bearer {token}"
})
# ds = xr.open_dataset(fs.open(s3_url))
ds = emit_xarray(fs.open(s3_url))
ds

[ebolch]

Thanks @alexgleith

Glad you were able to get HTTPS access working. We are planning add some instructions for HTTPS access to a future notebook. For other users in the meantime, the easiest way to access and work with an EMIT granule via HTTPS would be something similar to what you posted above:

# Use earthaccess library to login and retrieve a token
earthaccess.login()

# Provide granule URL
url = 'https://data.lpdaac.earthdatacloud.nasa.gov/lp-prod-protected/EMITL2ARFL.001/EMIT_L2A_RFL_001_20220903T163129_2224611_012/EMIT_L2A_RFL_001_20220903T163129_2224611_012.nc'

# Get an https fsspec session
fs = earthaccess.get_fsspec_https_session()

# open granule using xarray or emit_xarray function from emit_tools.py
with fs.open(url) as file:

    # Using xarray (only reads root group)
    dataset = xarray.open_dataset(file)

    # Or using the emit_xarray function
    dataset = emit_xarray(file, ortho=False)