tessera
PulseAugur coverage of tessera — every cluster mentioning tessera across labs, papers, and developer communities, ranked by signal.
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Geospatial foundation models show promise in tree species mapping
Researchers have developed a new method for mapping tree species in Denmark by comparing traditional spectral-temporal features with embeddings from geospatial foundation models like TESSERA and AlphaEarth. The study fo…
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Foundation models show promise in mapping Danish tree species
Researchers have developed a method to map tree species across Denmark using satellite data and machine learning. The study compared manually engineered spectral-temporal features (STF) with embeddings from foundation m…
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New BEACON framework enhances geospatial AI with human behavior data
Researchers have developed BEACON, a novel tri-modal contrastive learning framework designed to enhance geospatial foundation models like AlphaEarth. Unlike existing models that primarily focus on Earth-observation imag…
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Tessera embeddings show task-dependent value for land-cover mapping
Researchers have conducted a temporal sensitivity analysis of the Tessera foundation model, specifically examining its embeddings for land-use/land-cover mapping applications. The study found that while Tessera embeddin…
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Deep embeddings boost tree species classification accuracy in Dutch forest inventory
A new research paper explores the use of deep embeddings from pre-trained remote sensing models to improve tree species classification in the Netherlands' National Forest Inventory. The study found that these deep embed…
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Earth observation embeddings enhance weather downscaling accuracy
Researchers have demonstrated that Earth observation embeddings can serve as effective descriptors for probabilistic weather downscaling. By integrating these embeddings, derived from TESSERA data at 10m resolution, int…
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Geospatial Foundation Models Benchmark for Biomass Estimation
A new research paper explores the effectiveness of Geospatial Foundation Models (GFMs) for estimating above-ground biomass (AGB) from satellite imagery. The study benchmarks 11 GFMs using the AGBD dataset, comparing mod…
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Tessera system unlocks heterogeneous GPUs for AI workloads
A new system called Tessera has been developed to improve the performance and cost-efficiency of running large AI models on heterogeneous GPU clusters. Unlike previous methods that operated at a coarse granularity, Tess…
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Sub-meter resolution imagery proves crucial for accurate cocoa mapping in Cote d'Ivoire
A new research paper evaluates the necessity of sub-meter resolution imagery for accurate cocoa mapping in Cote d'Ivoire. The study found that very high resolution (VHR) imagery, specifically 0.5 m Pleiades, achieved th…
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AlphaEarth and TESSERA embeddings show promise for fine-scale climate zone mapping
A new study published on arXiv explores the use of AlphaEarth and TESSERA embeddings for fine-scale Local Climate Zone (LCZ) mapping in Switzerland. Researchers compared these embeddings with traditional Sentinel-1/2 co…
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Earth embedding models show performance gains when fused
Researchers have developed a new method to evaluate Earth embedding models by assessing their complementarity, which measures the performance gain achieved by fusing multiple embeddings. This approach contrasts with tra…
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Tessera offers secure, near-line-rate weight streaming for edge AI accelerators
Researchers have developed Tessera, a new architecture designed to securely stream model weights to edge accelerators in Unified Memory Architecture (UMA) systems. This approach addresses the challenge of protecting pro…