StackSTAC 0.5.1-foss-2023a

Turn a list of STAC items into a 4D xarray DataArray (dims: time, band, y, x), including reprojection to a common grid. The array is a lazy Dask array, so loading and processing the data in parallel—locally or on a cluster—is just a compute() call away.

Accessing StackSTAC 0.5.1-foss-2023a

To load the module for StackSTAC 0.5.1-foss-2023a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2023a
module load StackSTAC/0.5.1-foss-2023a

BEAR Apps Version

2023a

Architectures

EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two parts: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

• branca 0.8.1
• cachetools 4.2.4
• ipyleaflet 0.19.2
• ipywidgets 8.1.1
• jupyter_leaflet 0.19.2
• jupyterlab_widgets 3.0.9
• mercantile 1.2.1
• stackstac 0.5.1
• traittypes 0.2.1
• widgetsnbextension 4.0.9

More Information

For more information visit the StackSTAC website.

Dependencies

This version of StackSTAC has a direct dependency on: aiohttp/3.8.5-GCCcore-12.3.0 dask/2023.9.2-foss-2023a foss/2023a JupyterLab/4.0.5-GCCcore-12.3.0 JupyterNotebook/7.0.2-GCCcore-12.3.0 jupyter-server-proxy/4.0.0-GCCcore-12.3.0 matplotlib/3.7.2-gfbf-2023a nodejs/18.17.1-GCCcore-12.3.0 Pillow/10.0.0-GCCcore-12.3.0 pyproj/3.6.0-GCCcore-12.3.0 Python/3.11.3-GCCcore-12.3.0 Python-bundle-PyPI/2023.06-GCCcore-12.3.0 rasterio/1.3.9-foss-2023a SciPy-bundle/2023.07-gfbf-2023a xarray/2023.9.0-gfbf-2023a

Last modified on 3rd April 2025