New Landsat Science Team Holds First In-Person Meeting

From May 5 to 7, the Landsat Science Team meeting convened at the Earth Resources Observation and Science Center in Sioux Falls, SD. The institutional report frames the development in practical terms and ties it to the broader mission or observing effort.

That 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. Explore More New Landsat Science Team Holds First In-Person Meeting 3 min read From May 5 to 7, the Landsat Science Team meeting convened at the Earth Resources Observation and. NASA Goddard Issues Draft Request for Proposal for the Landsat 10 Spacecraft 2 min read The Landsat 10 Spacecraft Draft Request for Proposal (DRFP) is available for review via SAM.

From May 5 to 7, the Landsat Science Team meeting convened at the Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD. Co-moderated by Landsat 8, 9, and 10 Project Scientist Chris Neigh, the three-day event officially introduced the new 2026, 2030 Science Team members.

USGS From May 5 to 7, the 2026, 2030 Landsat Science Team met for their first in-person meeting at the Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD. The three-day event, co-moderated by Landsat 8, 9, and 10 Project Scientist Chris Neigh, allowed leaders from USGS and NASA to begin work on a vision for the upcoming five-year.

Key recommendations included incorporating CMIX2 cloud masking results into future collections and mapping out C3 toolkit dependencies for user-applied corrections. The team recommended either maintaining native resolution or standardizing to 60 meters, with additional testing specifically for volcano studies.

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.

They also strongly advised against pixelwise algorithm switching to prevent data discontinuities and emphasized the need for strict compliance with CEOS Aquatic Reflectance V2. However, they recommended further trade analysis to optimize pixel replication errors, manage storage costs, and ensure proper coordination with Sentinel-2 Next Generation.

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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