142 research outputs found
SMD Artificial Intelligence (AI) Workshop
The purpose of the workshop was to bring together NASA science community, academic partners, and industry experts to discuss ways to accelerate the adoption of AI across NASA science divisions and foster cross-disciplinary science enabled by AI utilizing large science data archives and computing platforms. This report is a summary of the three day workshop, which consisted of keynote addresses, panel sessions, and breakout sessions that discussed various focus areas addressing the purpose of the workshop. This report has been reviewed by individuals with diverse perspectives and technical expertise
Measuring and evaluating directional textures and using them in visual discovery
This dissertation focuses on three aspects of directional textures. The first aspect is the development of a new directional texture-based visualization technique to address challenges in visualizing multivariate data in a single display. The technique uses a multi level Markov Random Field-based texture synthesis to progressively generate a visualization that encodes data variables using various texture features, especially texture direction. Since texture directionality has not been used extensively in visualization, this technique provides a new visual cue to display additional data variable in a single display. Evaluations of the new texture-based visualization technique are also presented. The second aspect is the development of a new texture directionality measure to determine directional status of textures. The new texture directionality measure considers both local and global characteristics of textures. A comprehensive comparison study of the new measure with existing measures is also presented. The comparison is the first such study that considers all textures from the Brodatz texture database. The third aspect is applications of the new texture directionality measure to several classification problems
Hydrological drought forecasting in Africa at different spatial and temporal scales
Water ManagementCivil Engineering and Geoscience
High Performance and Disruptive Computing in Remote Sensing: The Third Edition of the School Organized by the HDCRS Working Group of the GRSS Earth Science Informatics Technical Committee
From May 29 to June 1, 2023, the University of Iceland in Reykjavik hosted the third "High Performance and Disruptive Computing in Remote Sensing" school. Organized by the HDCRS Working Group of the GRSS Earth Science Informatics Technical Committee (ESI TC), the event aimed to educate attendees on the latest advancements in parallel and scalable computing algorithms and technologies as they pertain to remote sensing. The curriculum spanned four key topics and integrated theoretical knowledge with practical exercises. With over 100 global registrations, 30 individuals were chosen for the in-person event in Reykjavik, based on a rigorous selection process emphasizing diversity, experience, and skills. All sessions have been made accessible on the GRSS YouTube channel, and the event saw participants from 15 countries across 4 continents
Mining Dark Information Resources to Develop New Informatics Capabilities to Support Science
No abstract availabl
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