CSDA Quality Assessment Report Evaluates Satellogic NewSat Data

The report adds to the growing documentation on commercial data’s contributions to Earth science research and applications. The institutional report frames the development in practical terms and ties it to the broader mission or observing effort.

This matters because Earth science becomes stronger when local observations can be placed inside a broader physical pattern that spans time and geography. The planet operates as a coupled system in which atmospheric, oceanic, cryospheric and solid-Earth processes interact across timescales from days to millions of years. A measurement that captures one variable at one location and one moment has limited interpretive value until it is embedded in the longer series and wider spatial coverage that allow natural variability to be separated from forced change. About the CSDA Program NASA’s Earth Science Division (ESD) established the CSDA program to identify, evaluate, and acquire commercial remote sensing data that enhances NASA’s. The report adds to the growing documentation on commercial data's contributions to Earth science research and applications.

Article Contents About the CSDA Program Resources Issued March 9, 2026, the Commercial Satellite Data Acquisition Program Satellogic NewSat Radiometric & Geometric Quality. NASA/CSDA A new quality assessment report from NASA’s Commercial Satellite Data Acquisition (CSDA) program approves the use of data from Satellogic’s NewSat constellation, which.

Issued March 9, 2026, the Commercial Satellite Data Acquisition Program Satellogic NewSat Radiometric & Geometric Quality Assessment Report documents the evaluation process of the. The SMEs analyzed 60 top-of-atmosphere reflectance images collected between 2021 and 2025, focusing on radiometric and geometric performance across multiple sites.

Results showed generally strong radiometric accuracy, with the majority of spectral bands performing within 10% of Aqua MODIS reference values and signal-to-noise ratios meeting. NASA’s Earth Science Division (ESD) established the CSDA program to identify, evaluate, and acquire commercial remote sensing data that enhances NASA’s Earth science research and.

The broader interest lies in linking the observation to climatic, geophysical or environmental dynamics that extend well beyond the immediate event or location. Earth science is unusual in that its most important questions operate on timescales that no single research career can observe directly, making the archival record, whether in ice, sediment, rock or satellite data, as important as any new measurement. Results that can be embedded in that record, and that either confirm or challenge the patterns it reveals, carry disproportionate scientific weight.

CSDA provides structured on-ramping opportunities for emerging commercial satellite data vendors, enabling NASA to continuously integrate innovative data sources as the private. By leveraging these partnerships, NASA’s ESD aims to accelerate scientific discovery and expand applications of Earth observation data for the NASA Earth science research and.

Because the account originates with NASA News Releases, it functions best as a primary institutional report that is close to the data and operations, not as independent scientific validation. Institutional communications are produced by organizations with legitimate interests in presenting their work in a favorable light, which does not make them unreliable but does make them partial. Details that complicate the narrative, including instrument limitations, unexpected failures and results below projections, tend to be minimized relative to progress messages. Technical documentation and peer-reviewed publications, where they exist, provide the complementary layer that institutional releases cannot substitute.

The next step is to place the result inside longer time series and to compare it with independent instruments and independent sites. Earth system observations gain most of their interpretive power from network density and temporal depth, not from any single measurement however precise. Model simulations that assimilate the new data will help clarify whether the observation fits comfortably within known natural variability or represents a shift that existing models do not reproduce.

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