Tutorials

We develop tutorials for teaching events that each has its own e-book. Tutorials are developed to teach open science and Cloud workflows for specific audiences. They are a snapshot in time as workflows with NASA Earthdata Cloud emerge and evolve. We will be updating How-To Guides as more stable (“source”) instruction as we develop and learn from teaching the tutorials below.

2022 ECOSTRESS Cloud Workshop

https://nasa-openscapes.github.io/2022-ECOSTRESS-Cloud-Workshop/

The goal of the workshop is expose ECOSTRESS data users to ECOSTRESS version 2 (v2) data products in the cloud. Learning objectives focus on how to find and access ECOSTRESS v2 data from Earthdata Cloud either by downloading or accessing the data on the cloud. The LP DAAC is the NASA archive for ECOSTRESS data products. ECOSTRESS v2 data products will hosted in the NASA Earthdata Cloud, hosted in AWS.

2022 SWOT Ocean Cloud Workshop

https://podaac.github.io/2022-SWOT-Ocean-Cloud-Workshop/

The goal of the workshop is to get ready for Surface Water and Ocean Topography (SWOT) and enable the (oceanography) science team to be ready for processing and handling the large volumes of SWOT SSH data in the cloud. Learning objectives focus on how to access the simulated SWOT L2 SSH data from Earthdata Cloud either by downloading or accessing the data on the cloud. PO.DAAC is the NASA archive for the SWOT mission, and once launched will be making data available via the NASA Earthdata Cloud, hosted in AWS.

2021 Cloud AGU Workshop

https://nasa-openscapes.github.io/2021-Cloud-Workshop-AGU

The 2021 Cloud Workshop at AGU: Enabling Analysis in the Cloud Using NASA Earth Science Data is a virtual half-day collaborative open science learning experience aimed at exploring, learning, and promoting effective cloud-based science and applications workflows using NASA Earthdata Cloud data, tools, and services (among others), in support of Earth science data processing and analysis in the era of big data.

2021 Cloud Hackathon

https://nasa-openscapes.github.io/2021-Cloud-Hackathon

The Cloud Hackathon: Transitioning Earthdata Workflows to the Cloud is a virtual 5-day (4 hours per day) collaborative open science learning experience aimed at exploring, creating, and promoting effective cloud-based science and applications workflows using NASA Earthdata Cloud data, tools, and services (among others), in support of Earth science data processing and analysis in the era of big data. Its goals are to:

  1. Introduce Earth science data users to NASA Earthdata cloud-based data products, tools and services in order to increase awareness and support transition to cloud-based science and applications workflows.

  2. Enable science and applications workflows in the cloud that leverage NASA Earth Observations and capabilities (services) from within the NASA Earthdata Cloud, hosted in Amazon Web Services (AWS) cloud, thus increasing NASA Earthdata data utility and meaningfulness for science and applications use cases.

  3. Foster community engagement utilizing Earthdata cloud tools and services in support of open science and open data.

Pairing Cloud and non-Cloud Data

Pairing Cloud and non-Cloud Data

Accessing and harmonizing data located within and outside of the NASA Earthdata Cloud

This tutorial will combine several workflow steps and components from the previous days, demonstrating the process of using the geolocation of data available outside of the Earthdata Cloud to then access coincident variables of cloud-accessible data. This may be a common use case as NASA Earthdata continues to migrate to the cloud, producing a “hybrid” data archive across Amazon Web Services (AWS) and original on-premise data storage systems. Additionally, you may also want to combine field measurements with remote sensing data available on the Earthdata Cloud.