NASA's Pioneering Platform for Earth Observation Data. This cloud-native, open-source platform revolutionizes open science by offering highly reusable tools in your browser for data interaction, analysis, and collaboration. Designed to meet the diverse needs of the Earth Observation community, VEDA facilitates accessible, user-friendly data exploration, enabling scientists and stakeholders to drive forward their research and missions together.
Overview
VEDA's primary goal is to accelerate open science by enabling scientists to collaborate with each other and to connect with stakeholders, all in on platform.
Challenge
NASA has vast data resources, but the data isn't always readily accessible or in user-friendly formats. The Earth Observation community needed a versatile, open-source platform that could cater to diverse user needs, from data access to analysis and sharing.
Outcome
A set of highly reusable components that, when combined, form an open-source platform for scientists and stakeholders to engage on the future of their work. These capabilities are drawing attention from other science teams eager to accelerate their own missions.
Open Science lifecycle using VEDA
Data Services
The method for transforming, ingesting, and accessing Analysis-Ready, Cloud-Optimized (ARCO) data is the VEDA Data Services. The ARCO datasets get published to a Spatio-Temporal Asset Catalog (STAC), which is a community-driven open-source standard and enables us to leverage other community-developed tools such as TiTiler and pySTAC. Using ARCO data formats and open source tools is vital to VEDA because, once ingested, this data must be accessed by a variety of tools for many different purposes.
Dashboard
The VEDA Dashboard reveals the utility of the data. The dashboard lets users browse, analyze, and explore earth observation data online. This dashboard is highly configurable and is used by scientists to share their work, explore other scientists’ work, and perform basic spatial analyses.
Analytics Platform
Once a scientist decides to perform a deeper, more complex analysis, they can navigate to a JupyterHub where they can access and analyze VEDA data. This is the VEDA Analytics Platform. Over the past several years, this architecture has been prototyped, tested, and improved to ensure it is beneficial for users and stakeholders.
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