About GRSS VEDA
The Geoscience and Remote Sensing Society's (GRSS) Visualization, Exploration, and Data Analysis (VEDA) Platform
GRSS VEDA is an advanced platform designed to streamline the discovery, access, and analysis of Earth observation data for the GRSS community. Deployed and adapted from NASA's open VEDA infrastructure , GRSS VEDA empowers researchers, engineers, and data scientists to leverage large-scale geospatial datasets alongside AI and data-analysis tools, while communicating their findings using data-driven storytelling.
What VEDA Offers
Comprehensive tools and capabilities designed for modern Earth observation research
Data-Centric AI for Machine Learning
Provides users with tools to create standardized, AI-ready metadata and perform comprehensive data quality and reliability assessments. Through its cloud-native environment, users can curate datasets, evaluate bias and consistency, monitor data health, and ensure privacy and responsible AI practices. By integrating these capabilities, the DCAI Toolbox empowers the geoscience community to build trustworthy, high-quality datasets that strengthen downstream GeoAI research and applications.
GeoAI Toolbox
An interactive environment within the GRSS VEDA platform that empowers users to explore, fine-tune, and deploy large geospatial foundation models for their own research and applications. Designed for accessibility, it provides a low-code interface that allows GRSS members to upload their datasets, customize pre-trained models such as NASA's Prithvi Geospatial Model, and run training or inference jobs directly in the cloud. By combining AI-driven tools with VEDA's Earth observation data infrastructure, the GeoAI Toolbox makes it easier for the community to build and share powerful models that support digital twin development, environmental monitoring, and other Earth science innovations.
CoMap Labeling Tool
An open-source, collaborative web application integrated with the GRSS VEDA platform, designed to help users label, visualize, and manage geospatial datasets for AI and Earth observation applications. Users can interactively explore multi-band and time-series remote sensing data, customize visualizations, and layer or reorder imagery to analyze changes over time. The tool supports diverse labeling types—such as points, polygons, and polylines—along with dataset folding for team-based labeling and version-controlled storage of curated outputs. With built-in search and retrieval across geospatial, temporal, and attribute-based queries, and flexible access controls for annotators, reviewers, and administrators, CoMap streamlines collaborative dataset creation while ensuring data quality, traceability, and open-science compliance.
Additional Capabilities
Data Analytics Tools & Environment
Use built-in analytical and visualization tools, powered by modern machine learning and AI methods. Access GRSS VEDA's JupyterHub environment for further data analysis.
Standards Compliance
Built on community best practices, including STAC (SpatioTemporal Asset Catalog), OGC standards, and FAIR (Findable, Accessible, Interoperable, Reusable) principles.
Collaboration & Reproducibility
Share workflows, notebooks, and data pipelines with colleagues to enhance collaborative research and reproducible science.
Who We Serve
GRSS VEDA serves the diverse community of GRSS members, providing tools and resources tailored to support learning, research, collaboration, and innovation in geospatial AI and Earth observation.
Students, Early-Career Researchers & Innovators
Access Earth observation datasets and AI tools in a low-code, cloud environment for hands-on learning, experimentation, and skill-building through workshops and summer schools, connecting with the global community for collaboration and visibility.
Researchers & Scientists
Analyze, fine-tune, and validate models using standardized datasets; enable reproducible research with FAIR-compliant data, version control, and collaborative workspaces.
Professionals & Practitioners
Apply ready-to-use AI tools for geospatial tasks, perform cloud-scale analytics without custom infrastructure, and collaborate across sectors using shared datasets and workflows.
Educators & Trainers
Teach geospatial data processing and AI through interactive visualizations and labeling tools; allow students to access real datasets and contribute to scientific projects.
Technical Committees & Working Groups
Develop, test, and showcase community tools; integrate open-source standards and FAIR-aligned datasets for collaborative innovation.
How to Use GRSS VEDA
To learn more about VEDA and how to use the platform, check out VEDA Docs.
Commitment to Open Science
GRSS VEDA is built on the principles of Open Science, ensuring that Earth observation data, tools, and results are findable, accessible, interoperable, and reusable (FAIR). By fostering transparency, reproducibility, and collaboration, VEDA enables the global community to accelerate discovery and innovation in Earth system science.
Open Source on GitHub
Access GRSS VEDA documentation, code, and more by visiting the IEEE GRSS VEDA Organization on GitHub.
Visit GitHub OrganizationCredits & Acknowledgements
GRSS VEDA is a new instance built upon NASA's VEDA platform, leveraging its architecture, tools, and community standards.
We extend our gratitude to NASA for providing the foundation and inspiration that makes GRSS VEDA possible.
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Join the Conversation
Contribute to our openly maintained repositories and help shape the future of GRSS VEDA.
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