
nd – A Framework for the Analysis of n-dimensional Earth Observation Data
Abstract
nd is a software framework for the analysis of n-dimensional datacubes. Such data structures are common in Earth observation where the data are often multivariate on a spatio-temporal grid. The Python library xarray already exists to represent such data sets. This software builds on xarray by providing an interface with other parts of the Python ecosystem, such as scikit-learn and rasterio. Most of the functionality is accessible through an added accessor xarray.Dataset.nd. The software is maintained on GitHub and releases are published on the Python Package Index (PyPI) and Zenodo.
DOI: https://doi.org/10.5334/jors.377 | Journal eISSN: 2049-9647
Language: English
Submitted on: Apr 15, 2021
Accepted on: Mar 3, 2022
Published on: Mar 11, 2022
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
© 2022 Johannes N. Hansen, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.