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ESIP Recognizes Outstanding Achievements in Earth Science Data Management


Known as the “brain-trust” of Earth science data professionals, Earth Science Information Partners (ESIP) recently elected a new board of directors and recognized outstanding accomplishments in the field of Earth science data management and stewardship at their winter meeting.

More than 360 of the world’s leading scientific-data experts attended the virtual meeting from January 26-29, 2021, which focused on “Leading Innovation in Earth Science Data Frontiers.” The group explored the latest innovations in Artificial Intelligence and Machine Learning to help better understand the health of the planet and assess agricultural production challenges. Attendees also examined collaborative tools to empower more effective cross sector emergency response to crises like wildfires and associated landslides and explored the latest tools for dataset search with experts from Google Research and Schema.org.

“The goal of our work is to bring together experts from academia, the private sector, and government agencies to collaborate and overcome the barriers to making Earth science data available and discoverable. Earth science data is a critical asset in our global infrastructure. Maximizing its use and reuse is essential in our quest to tackle some of the world’s greatest challenges, including Climate Change,” ESIP Executive Director Susan Shingledecker said.

ESIP celebrated the contributions of the community with the following awards:

The Martha Maiden Lifetime Achievement Award was awarded to Dr. Hampapuram “Rama” Ramapriyan. Currently with Science Systems and Applications, Inc. (SSAI), he has spent more than 40 years with the NASA Earth Science Data Information System (ESDIS) project with experience in science data systems development, image processing, remote sensing, parallel processing, and algorithm development. Rama is known for bringing together diverse groups of people to create, solidify, and endorse standards and best practices in Earth science data quality, data stewardship, and preservation. He is a mentor in the field and always finds time to work with junior and senior members of a team.

The Martha Maiden Lifetime Achievement Award recognizes outstanding service to the Earth science information community, honoring individuals who have demonstrated leadership, dedication, and a collaborative spirit in advancing the field of Earth science information.

ESIP’s Partner of the Year was awarded to NASA’s Jet Propulsion Laboratory (JPL). JPL exhibits the depth and breadth of partnership valued by ESIP. More than a dozen JPL staff engage actively in the ESIP Community with contributions ranging from meeting participation, chairing committees and clusters, and proposing and leading interactive meeting sessions. Their participation and contributions include those of ESIP Community Fellows and early career staff to top senior employees who have many years of experience. The JPL team brings their challenges to the ESIP community and in turn, contributes to solving the challenges of others. ESIP is a place where JPL staff have found an opportunity to contribute and learn in equal portions. JPL’s commitment to and tradition of connecting science, data, and users sits at the very heart of ESIP’s mission, vision, and values, which is why this organizational relationship continues to be so strong.

The ESIP Catalyst Award was awarded to rising star Dr. Ziheng Sun. This award honors those who have brought positive change and inspired others to take action. Dr. Ziheng Sun is a research professor at the Center for Spatial Information Science and Systems (CSISS) at George Mason University. Ziheng is known for his work on Geoweaver a web-based system to easily compose and execute full-stack workflows. This work, incubated in the ESIP Lab, won a National Geospatial Intelligence Agency (NGA) Innovation Challenge and was recently selected as a NASA ACCESS project.

The ESIP President’s Award was given…



Read More: ESIP Recognizes Outstanding Achievements in Earth Science Data Management

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