Paper ID: 2412.02732 • Published Dec 3, 2024
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications
Daniela Szwarcman, Sujit Roy, Paolo Fraccaro, Þorsteinn Elí Gíslason, Benedikt Blumenstiel, Rinki Ghosal, Pedro Henrique de Oliveira...
TL;DR
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This technical report presents Prithvi-EO-2.0, a new geospatial foundation
model that offers significant improvements over its predecessor,
Prithvi-EO-1.0. Trained on 4.2M global time series samples from NASA's
Harmonized Landsat and Sentinel-2 data archive at 30m resolution, the new 300M
and 600M parameter models incorporate temporal and location embeddings for
enhanced performance across various geospatial tasks. Through extensive
benchmarking with GEO-Bench, the 600M version outperforms the previous
Prithvi-EO model by 8\% across a range of tasks. It also outperforms six other
geospatial foundation models when benchmarked on remote sensing tasks from
different domains and resolutions (i.e. from 0.1m to 15m). The results
demonstrate the versatility of the model in both classical earth observation
and high-resolution applications. Early involvement of end-users and subject
matter experts (SMEs) are among the key factors that contributed to the
project's success. In particular, SME involvement allowed for constant feedback
on model and dataset design, as well as successful customization for diverse
SME-led applications in disaster response, land use and crop mapping, and
ecosystem dynamics monitoring. Prithvi-EO-2.0 is available on Hugging Face and
IBM terratorch, with additional resources on GitHub. The project exemplifies
the Trusted Open Science approach embraced by all involved organizations.