- Name: icesat2-boreal-stac
- Package:
icesat2_boreal_stac
- Owner: @hrodmn
- STAC extensions used:
- Browse an example in human-readable form
A short description of the package and its usage.
pip install git+https://github.com/MAAP-project/icesat2-boreal-stac.git@main
Warning
By default, this package will create STAC v1.1.0 collections and items!
Use pystac.set_stac_version
or the PYSTAC_STAC_VERSION_OVERRIDE
environment variable to set it to version 1.0.0 if you need that for your catalog.
To create collections:
from pystac import set_stac_version
from icesat2_boreal_stac.stac import create_collection, Variable
# optional: set STAC version to 1.0.0
# set_stac_version("1.0.0")
agb_collection = create_collection(Variable.AGB)
ht_collection = create_collection(Variable.HT)
To create items, specify the key to the COG asset for this item. The package assumes that the other asset(s) (e.g. train_data.csv) are located alongside the COG asset in a folder in S3.
Note
You need to be authenticated with MAAP SMCE AWS credentials to access the files in these buckets:
from icesat2_boreal_stac.stac import create_item
agb_item = create_item(
cog_key="s3://maap-ops-workspace/aliz237/dps_output/run_boreal_biomass_map/dev_v1.5/AGB_H30_2020/full_run/2024/11/25/09/38/51/560230/boreal_agb_2020_202411251732556086_0000004.tif"
)
ht_item = create_item(
cog_key="s3://maap-ops-workspace/aliz237/dps_output/run_boreal_biomass_map/dev_v1.5/Ht_H30_2020/full_run/2025/01/13/09/01/49/694207/boreal_ht_2020_202501131736787421_0000004.tif"
)
You can also specify an S3 directory into which the assets should be copied before generating the metadata:
from icesat2_boreal_stac.stac import create_item
agb_item_copied = create_item(
cog_key="s3://maap-ops-workspace/aliz237/dps_output/run_boreal_biomass_map/dev_v1.5/AGB_H30_2020/full_run/2024/11/25/09/38/51/560230/boreal_agb_2020_202411251732556086_0000004.tif",
copy_to="s3://nasa-maap-data-store/file-staging/nasa-map/icesat2-boreal-v2.1/0000004/agb",
)
Before generating the metadata, the assets that will be included in the item will be copied from the folder where cog_key
is located into the copy_to
folder.
Files will retain the same basename.
At this time the package is only usable from Python.
We use pre-commit to check any changes. To set up your development environment:
uv sync
uv run pre-commit install
To check all files:
uv run pre-commit run --all-files
To run the tests:
uv run pytest
If you've updated the STAC metadata output, update the examples:
Note
You need to be authenticated with MAAP SMCE credentials to run this
uv run scripts/update-examples