Surface Biology & Geology Pathfinder Data Analysis Pipeline

Jenkins, Jon ; Tenenbaum, Peter ; Brosnan, Ian G ; Middleton, Elizabeth ; Campell, Petya K ; Cappelaere, Patrice G ; Townsend, Philip A ; Miller, Charles E ; Dungan, Jennifer

关键词: ALGORITHMS;    ASTROPHYSICS;    DATA ACQUISITION;    DATA PROCESSING;    DATA PROCESSING EQUIPMENT;    EARTH SCIENCES;    GEOLOGY;    IMAGING TECHNIQUES;    INFRARED ASTRONOMY;    INFRARED SPECTRA;    MISSION PLANNING;    SPECTROSCOPY;   

RP-ID  :  ARC-E-DAA-TN76383

学科分类：地球科学(综合)

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

NASA's future global orbital mission, currently in development as the Surface Biology and Geology (SBG) Designated Observable study, will acquire relatively high resolution solar-reflected spectroscopy and thermal infrared observations. Innovative processes must be utilized for handling the high volume of data anticipated to be collected, which is anticipated to exceed 100 terabytes/day, greater than NASA's total extant airborne hyperspectral data collection. Collecting, processing/re-processing, disseminating, and exploiting this volume of data presents new challenges. To begin addressing them, NASA is drawing upon the expertise developed from its astrophysics programs to address Earth science and applications. Specifically, NASA is adapting the science processing operations technology developed for the Kepler and TESS planet-hunting missions for imaging spectroscopy data processing. This technology development has been the foundation for the remarkable scientific successes of Kepler and TESS. The Kepler/TESS data processing technology provides a scalable architecture for robust, repeatable, and replicable science and application products while enabling the Earth science community to develop, test, and implement new algorithms. Our effort to leverage this existing capability has begun by ingesting data and applying workflows from the EO-1/Hyperion 17-year mission archive that provides globally sampled visible through shortwave infrared spectra that are representative of SBG data types and volumes. This pathfinding data processing system will help define the solutions to processing SBG data volumes and will enable the scientific community to interact with the data and processing pipeline to create new science products.