Workshops & Hackathons
We develop tutorials for teaching events that each have their own e-book. The following is a list of past workshops or hackathons we have hosted with links to their respective e-books. 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 the teachings below.
2024 SWOT Data Access Workshop
https://podaac.github.io/2024-SWOT-Hydro-Workshop/
The Surface Water and Ocean Topography (SWOT) satellite, a joint NASA-CNES venture, provides unprecedented measurements of surface water extents and elevations for hydrologic science and applications. This workshop focuses on the SWOT Hydrology datasets including river and lake vector data in shapefiles, and raster, pixel cloud, and pixel vector data in netCDF. In this pre-meeting workshop hosted by the Physical Oceanography Distributed Active Archive Center (PO.DAAC) for the AGU Chapman: Remote Sensing of the Water Cycle Conference, participants are introduced to SWOT and the various ways to access and utilize its data products, including via cloud computing, local download, and data transformation tools.
2023 Cloud Workshop at AGU
https://nasa-openscapes.github.io/2023-Cloud-Workshop-AGU
In this workshop, NASA Openscapes Mentors from NASA’s Earth Observing System Data and Information System (EOSDIS) DAACs (data centers) will teach the foundations of an open science mindset and apply these concepts to work in the cloud with NASA Earthdata. Participants will take part in hands-on tutorials using a JupyterHub managed by 2i2c in AWS. Participants will leave with a better understanding of how to leverage data and services from NASA Earthdata Cloud within their work across a variety of disciplines and data types, as well as how to apply the concepts of open science as a daily practice. The workshop will encourage discussion and reflection on how Earth science is evolving. Tutorials will be taught in Python. The target audience is anyone interested in using NASA Earth Science data within the AWS cloud. Previous experience in the AWS cloud is not necessary. Experience using Python is recommended but not required.
2023 VITALS Workshop at AGU
The International Space Station is a critical asset for the Earth science community – both for advancing critical science and applications priorities, and as a platform for technology demonstrations/pathfinders. These benefits have been particularly significant in recent years, with the installation and operation of instruments such as ECOSTRESS, a multispectral thermal instrument, and EMIT, a visible to short wave infrared imaging spectrometer with best-in-class signal to noise - both acquiring data at field-scale (<70-m). With both sensors mounted on the ISS, there is an unprecedented opportunity to demonstrate the compounded benefits of working with both datasets. In this workshop we highlight the power of these tools when used together, through the use of open source tools and services, cloud compute resources to effectively combine data from ECOSTRESS and EMIT to perform scientific analyses and apply data to real world issues.
This workshop is hosted by NASA Land Processes Distributed Activate Archive Center (LP DAAC) and NASA Jet Propulsion Laboratory (JPL) with support from the NASA Openscapes project. Hands-on exercises will be executed from a Jupyter Hub on the Openscapes 2i2c cloud instance.
2023 GEDI / ICESat-2 Workshop
https://nasa-openscapes.github.io/2023-ssc/
The goal of this workshop, as part of the 2023 Space and Sustainability Colloquium, is to demonstrate how to find, access, and work with GEDI and ICESat-2 data from the Earthdata Cloud. Participants will learn how to search for and download data from NASA’s Earthdata Search Client, a graphical user interface (GUI) for search, discovery, and download application for also EOSDIS data assets. Participants will learn how to perform in-cloud data search, access, and processing routines where no data download is required, and data analysis can take place next to the data in the cloud.
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:
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.
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.
Foster community engagement utilizing Earthdata cloud tools and services in support of open science and open data.