IN024
From Data to Discovery: Infrastructure Driving Earth Science
Session ID#: 252362
Session Description:
The field of Earth science is experiencing a significant transformation, driven by advancements in computational capabilities, cloud technologies, open data initiatives, and collaborative resources. This session aims to examine the essential function of infrastructure including satellites, in situ sensors, data lakes, APIs, and AI-compatible workflows in facilitating innovative scientific research. We welcome submissions that highlight interoperable, scalable, and sustainable infrastructures that enable next-generation studies, near real-time monitoring, and interdisciplinary collaboration. Special attention will be given to implementations that adhere to FAIR data principles, utilize cloud-native frameworks, and incorporate open-source solutions. This session will bring together researchers, technologists, and data stewards to share innovative strategies that connect raw data with actionable insights. We invite participation in exploring how digital infrastructure is reshaping our methodologies for observing, understanding, and addressing changes in Earth systems.
Index Terms:
1916 Data and information discovery [INFORMATICS]
1920 Emerging informatics technologies [INFORMATICS]
1930 Data and information governance [INFORMATICS]
Primary Convener: Siddharth Chaudhary, University of Alabama in Huntsville, NASA IMPACT, Huntsville, AL, United States
Convener: Brian Freitag, NASA Marshall Space Flight Center, Huntsville, United States
DEEP: DDE Enabling and Empowering Platform (1870883)
Prof. Sensen Wu1, Linshu Hu2 and Zhenhong Du1, (1)Zhejiang University, Hangzhou, China, (2)School of Earth Sciences, Zhejiang University, Hangzhou, Zhejiang Province, China
Moving the EarthScope MUSTANG Quality Assurance System Into the Cloud (1928615)
Laura Keyson, Rowan Gaffney, Dan Stoner, Gillian Sharer, David Chen, Solar Smith, Chad Trabant, David Mencin and Jerry Carter, EarthScope Consortium, Data Services, Washington, DC, United States
Advancing Earth Science through AI: UAV-equipped Wildlife Detection Process using Computer Vision and Large Language Model (1942567)
Ravindra Tripathi1, Nabhya Sharma2, Vikas Tripathi2, Ruchi Badola3 and Syed Ainul Hussain1, (1)Wildlife Institute of India, Dehradun, India, (2)Graphic Era University, Department of Computer Science and Engineering, Dehradun, India, (3)Wildlife Institute of India, Ganga Aqualife Conservation Monitoring Center, Dehradun, India
Enabling Cryo Science at Scale: How ITS_LIVE is Providing a Serverless Analysis Ready Archive of the Future (1973155)
Joseph H Kennedy, Alaska Satellite Facility, Fairbanks, AK, United States, Luis Alberto Lopez, National Snow and Ice Data Center (NSIDC), CIRES, University of Colorado Boulder, Boulder, United States, Alex S Gardner, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Chad Greene, Jet Propulsion Laboratory, Pasadena, United States, Mark A Fahnestock, University of Alaska Fairbanks, Geophysical Institute, Fairbanks, United States, Maria Liukis, NASA Jet Propulsion Laboratory, Pasadena, United States, Andrew Player, Alaska Satellite Facility, Fairbanks, United States, Mario Angarita, Alaska Satellite Facility, Geophysical Institute, University of Alaska Fairbanks, Fairbanks, Alaska, United States and Pete Gadomski, Development Seed, Washington, United States
