Citation Information

References

This software is developed with the goal of supporting science applications for the NASA ICESat-2 mission. This work was initially supported by an appointment to the NASA Postdoctoral Program at NASA Goddard Space Flight Center, administered by Universities Space Research Association under contract with NASA. This work is developed in conjunction with other ICESat-2 projects.

Please consider citing our library:

T. C. Sutterley and B. E. Smith, “IS2view: Interactive visualization and data extraction tool for ICESat-2 ATL14/15 Gridded Land Ice Height Products”, (2023). doi: 10.5281/zenodo.8015463

Dependencies

This software is also dependent on other commonly used Python packages:

• dask: Parallel computing with task scheduling

• geopandas: Python tools for geographic data

• ipyleaflet: Interactive maps in the Jupyter notebook

• matplotlib: Python 2D plotting library

• h5netcdf: Pythonic interface to netCDF4 via h5py

• numpy: Scientific Computing Tools For Python

• rasterio: Access to geospatial raster data

• rioxarray: geospatial xarray extension powered by rasterio

• xarray: N-D labeled arrays and datasets in Python

Optional Dependencies

• boto3: Amazon Web Services (AWS) SDK for Python

• bottleneck: Fast NumPy array functions written in C

• obstore: Simple, high-throughput Python interface for object storage

• OWSLib: Pythonic interface for Open Geospatial Consortium (OGC) web services

• s3fs: Pythonic file interface to S3 built on top of botocore

• zarr: Chunked, compressed, N-dimensional arrays in Python

Disclaimer

This package includes software developed at NASA Goddard Space Flight Center (GSFC) and the University of Washington Applied Physics Laboratory (UW-APL). It is not sponsored or maintained by the Universities Space Research Association (USRA) or NASA.