![]() Meanwhile, SBG is headed to Mission Confirmation Review in the spring of 2022.Our standard Photo Prints (ideal for framing) are sent same or next working day, with most other items shipped a few days later. We will then prototype additional workflows to leverage the reflectance data to study terrestrial vegetation traits, aquatic scenes, snow and ice properties, and geology. We plan to reprocess the Hyperion data to obtain surface reflectance as a function of time, position, and wavelength in early 2022. Processing such a large stream of data such as that expected for SBG is no mean feat and while cloud resources will be utilized extensively for processing and distribution of SBG data products, NASA’s HPC resources offer tremendous computational capabilities at no direct cost and can be leveraged to significantly reduce the costs associated with processing such large datasets. These datasets will be distributed to the science community to allow them to prepare their analytic software codes for future SBG data. ![]() A full year of synthetic SBG data has been generated and is available on the NAS data portal. The level 2 data represents the primary global dataset for detailed analysis and study by higher-level algorithms contributed by the science community to investigate various ecosystems, waterways and minerology. Results and ImpactĬurrently, we are processing the Hyperion dataset from raw images to level 1 (top of the atmosphere radiances), and are developing the second stage of processing to correct for atmospheric effects in order to obtain level 2 data (surface reflectance data across the wavelengths observed by Hyperion). These datasets will also be used in prototyping the science data system for SBG and to support the Earth sciences community as they develop algorithms to mine the huge dataset that SBG promises to deliver. ![]() Jon Jenkins, NASA Ames Research CenterĪmes is also participating in the Modeling End-To-End Traceability for SBG (MEET-SBG) Study, and NEX has developed the capabiilty to generate synthetic full-volume hyperspectral datasets. These datasets will be distributed to the science community to help them prepare their analytic software codes for future SBG data. As an added benefit, the reprocessed Hyperion data will be distributed to the Earth sciences community for research use.Ī full year of synthetic SBG data has been generated and is available on the NAS Data Portal. This will help us to understand SBG's needs and develop the science data system. As a first step, we are implementing a science data pipeline to reprocess the 55-TB Hyperion hyperspectral dataset from Earth Observer 1 (EO-1) mission as a proxy for future SBG data. ![]() It’s important to assess the scalability of the candidate science algorithms and the pipeline infrastructure when contemplating the enormous dataset SBG is designed to acquire. Ames' pathfinder pipeline concept is based on the pipeline control infrastructure, called “Ziggy,” which was developed for NASA's Kepler and Transiting Exoplanet Survey Satellite (TESS) missions to detect exoplanets orbiting Sun-like stars in the solar neighborhood. To meet the challenge, researchers the NASA Advanced Supercomputing Division are working with NASA Earth Exchange (NEX) scientists to develop hybrid high performance computing (HPC)-cloud computing frameworks, as part of SBG’s Space-based Imaging Spectroscopy and Thermal pathfindER (SISTER) study, which is led by NASA's Jet Propulsion Laboratory in collaboration with Ames Research Center and Goddard Space Flight Center. Processing this much data to obtain science-ready results requires considerable computational resources.
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