IMPACT's projects improve existing processes and develop best practices that maximize the effectiveness and efficiency of Earth science data management and stewardship. New capabilities are developed, proven, and infused across the Earth Science Data System program.
ADMG
The Airborne Data Management Group (ADMG), which leads the Airborne and Field Data Resource Center (AFDRC), develops systematic approaches to airborne data management and stewardship. The ADMG develops best practices for airborne data management and provides a knowledge base for airborne campaigns, data centers, managers, scientists and users.
ARC
Analysis and Review of CMR (ARC) focuses on improving the discoverability, accessibility, and usability of NASA’s Earth science data holdings by ensuring all NASA collection and granule level metadata records in NASA’s Common Metadata Repository (CMR) meet a minimum standard of quality. The ARC team reviews the metadata for these collections, identifies opportunities for improvement in the records, works with the data providers, develops methods to automate the quality evaluation checks, and develops processes to minimize issues in the future.
DCD
Data Curation for Discovery (DCD) designs and implements a systematic plan to assist other agencies in incorporating NASA Earth observation data into their workflows. The DCD team improves the discoverability of NASA Earth science data and other curated Earth observation data in trusted catalogs and platforms.
HLS
In the Harmonized Landsat and Sentinel-2 (HLS) project, data from the NASA/USGS Landsat 8 and Landsat 9 and the ESA (European Space Agency) Sentinel-2A and Sentinel-2B platforms generate a harmonized, analysis-ready surface reflectance data product. The resulting HLS global land surface reflectance data is generated every 2 to 3 days at 30 meter resolution.
Machine Learning Project
The Machine Learning Project team improves data discovery by building tools and pipelines that apply machine learning algorithms to NASA Earth science datasets.
SNWG
Satellite Needs Working Group (SNWG) is comprised of a team which serves as the data liaison between the U.S. Group on Earth Observations SNWG and ESDIS. Using the biennial surveys of participating agencies conducted by SNWG to assess their needs for U.S. government Earth observing satellite applications, the team creates a profile of agency needs and develops mappings to data that meet those needs.
HDCRS Summer School
In collaboration with the IEEE GRSS Earth Science Informatics Technical Committee, IMPACT held a High Performance and Disruptive Computing in Remote Sensing (HDCRS) machine learning summer school session for 26 global and diverse students.
