Getting Started
Topics
References
Support
In development
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
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