TESS-SPOC

TESSERA is a global geospatial foundation model that turns the European Space Agency's raw Sentinel1 (SAR) + Sentinel2 (optical) time series into compact, gap-free, 128dimensional, 10meter embeddings, producing an annual "representation map" for every 10m land pixel worldwide from 2017-2025 (rolling forward each new year) enabling detailed analysis of land cover dynamics, vegetation health, and environmental monitoring over time. Each 10m pixel encodes a full year's spectraltemporal behavior across the two major sensor modalities (optical + radar), enabling downstream tasks (carbon quantification, land cover, canopy height, change detection, hazards, habitat mapping, biodiversity) to start from a compact annual descriptor instead of petabytes of raw scenes. This collapses costs and latency for analysts and builders while enhancing accuracy and enabling indexing.

Spoggle is an AI enabled end-to-end self-service analytics platform that brings together all the analytics capabilities on a single pane of glass.

The Transiting Exoplanet Survey Satellite (TESS) is a multi-year survey that has discovered exoplanets in orbit around bright stars across the entire sky using high-precision photometry. The survey also enables a wide variety of stellar astrophysics, solar system science, and extragalactic variability studies. More information about TESS is available at MAST and the TESS Science Support Center.

TESS-Gaia Light Curve (TGLC) is a PSF-based TESS full-frame image (FFI) light curve product. Using Gaia DR3 as priors, the team forward models the FFIs with the effective point spread function to remove contamination from nearby stars. The resulting light curves show a photometric precision closely tracking the pre-launch prediction of the noise level: TGLC's photometric precision consistently reaches ≲2% at 16th TESS magnitude even in crowded fields, demonstrating excellent decontamination and deblending power.