Pangaea
PulseAugur coverage of Pangaea — every cluster mentioning Pangaea across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
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…
-
New method probes geospatial SSL representations using environmental signals
Researchers have developed a new method to evaluate self-supervised learning (SSL) representations in geospatial satellite imagery. Instead of relying solely on downstream tasks, this approach probes the representations…
-
New method probes geospatial SSL representations with environmental signals
Researchers have developed a new method to evaluate self-supervised learning (SSL) representations in geospatial data by probing them with environmental signals. This approach uses co-located ERA5 reanalysis variables, …
-
Pangaea investigates new AI for Science startups
Pangaea is investigating startups focused on "AI for Science," noting a new trend distinct from traditional AI drug discovery models. This emerging area is being closely watched by Nikkei Biotech ONLINE.
-
TerraMind: First Any-to-Any Multimodal Foundation Model for Earth Observation
Researchers have introduced TerraMind, a novel multimodal foundation model designed for Earth observation tasks. This model uniquely combines token-level and pixel-level data representations, allowing it to capture both…
-
New RAMEN encoder adapts to diverse Earth observation data resolutions
Researchers have introduced RAMEN, a novel multimodal encoder designed for Earth observation data. This encoder is unique in its ability to handle diverse spatial, spectral, and temporal resolutions across various senso…
-
FLORO: New multimodal geospatial model for ecological remote sensing unveiled
Researchers have introduced FLORO, a multimodal geospatial foundation model designed for ecological remote sensing applications. Unlike many existing models that require massive datasets and fixed sensor configurations,…