Logo
2.2.1

Getting Started

  • Overview
  • Installation
  • Settings
  • Examples
  • AWS Integration

Topics

  • Why PODPAC?
  • Design
  • Dependencies
  • Nodes
  • Coordinates
  • Cache
  • Supported Datasets
  • Interpolation
  • NASA Earth Data Login
  • AWS Development

References

  • API Reference
  • Wrapping Datasets

Support

  • References
    • Papers
    • Presentations
    • Posters
  • Contributing
  • Documentation
  • Development Roadmap
  • Changelog
PODPAC
  • »
  • References
  • View page source

References¶

Papers¶

In development

Presentations¶

  • Scipy 2020: Geospatial Analysis in the Cloud Using PODPAC and JupyterLab

  • AGU 2019: Building Web Browser Apps for On-Demand Retrieval and Processing of Cloud-Optimized Earth Science Data using the Open-Source WebESD Toolkit

  • AMS 2018: A RESTful API for Python-Based Server-Side Analysis of High-Resolution Soil Moisture Downscaling Data

Posters¶

  • AMS 2020: PODPAC: The Easy Way to Analyze Earth Science Data in the Cloud

  • AMS 2019: PODPAC: A Python Library for Automatic Geospatial Data Harmonization and Seamless Transition to Cloud-Based Processing

  • AGU 2018: Seamless Transition of Data Analyses and Analytics from a Local Workstation to Scalable, Massively Distributed Processing on the Cloud Using the Open Source PODPAC Library

Next Previous

© Copyright 2017-2020, Creare

Built with Sphinx using a theme provided by Read the Docs.