Member Since 1996
Rahul Ramachandran
Senior Research Scientist, NASA Marshall Space Flight Center
AGU Research
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Leveraging Weather Foundation Models for Exploring the Earth System: 5 New Multi-Modal Datasets for Downstream Tasks
AI MODELS IN EARTH SCIENCE I POSTER
informatics | 15 december 2023
Rajat Shinde, Ankur Kumar, Christopher E. Phillips...
Recently, Foundation Models (FMs) have shown promising results for a wide range of vision-and-language tasks. These FMs harness the rich feature set f...
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Leveraging Large Language Models to Enhance NASA’s Information Search and Discovery
AI MODELS IN EARTH SCIENCE II ORAL
informatics | 15 december 2023
Ashish Acharya, Iksha Gurung, Anish Bhusal, Vishal...
This presentation delves into the challenges and strategies associated with harnessing vast quantities of unstructured data at NASA. One such challeng...
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Foundation Models for Science: An Open Collaborative Initiative
AI MODELS IN EARTH SCIENCE II ORAL
informatics | 15 december 2023
Rahul Ramachandran, Iksha Gurung, Muthukumaran Ram...
Foundation Models (FMs), AI models designed to replace task-specific models, are increasingly being recognized for their versatility across numerous d...
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Foundation Model for Atmospheric Prediction and Analysis
AI MODELS IN EARTH SCIENCE I POSTER
informatics | 15 december 2023
Sujit Roy, Rajat Shinde, Ankur Kumar, Christopher ...
Transformers have been extensively studied in the domain of language and vision models, aiming to comprehend lengthy sequences and find applications i...
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Burn Scar Detection Leveraging a Harmonized Landsat and Sentinel-2 Foundation Model
AI MODELS IN EARTH SCIENCE I POSTER
informatics | 15 december 2023
Christopher E. Phillips, Sujit Roy, Johannes Jakub...
The Earth sciences are data-rich, and machine learning is a powerful tool for processing this information. Training a machine learning model, however,...
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Exploring Effectiveness of Foundation Models for Downstream Applications on Satellite Data
ADVANCES IN EARTH AND SPACE SCIENCE INFORMATICS II ORAL
informatics | 15 december 2023
Hamed Alemohammad, Hanxi Li, Michael Cecil, Sam Kh...
Foundation Models (FM) are revolutionizing how machine learning (ML) models are developed. FMs are trained using self-supervised techniques on a large...
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An Update on NASA's Harmonized Landsat and Sentinel-2 Project
MAXIMIZING THE UTILITY AND EFFICIENCY OF SCIENTIFIC RESEARCH THROUGH ANALYSIS-READY DATA AND DATA HARMONIZATION II POSTER
informatics | 14 december 2023
John Mandel, Brian Freitag, Madhu Sridhar, Junchan...
Landsat and Sentinel-2 provide the most widely accessible global coverage moderate resolution multispectral satellite observations. The Harmonized Lan...
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Analyzing Federal Agency Earth Observation Needs: NASA’s 2022 Satellite Needs Working Group Assessment
UNDERSTANDING THE SOCIETAL VALUE AND USE OF EARTH SCIENCE INFORMATION II POSTER
science and society | 14 december 2023
Katrina Virts, Jenny Wood, Gerald W. Bawden, Pontu...
Every two years, the National Aeronautics and Space Administration (NASA) leads an assessment of Federal civilian agency Earth observation needs submi...
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