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001050065 1001_ $$0P:(DE-HGF)0$$aSzwarcman, Daniela$$b0
001050065 245__ $$aPrithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications
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001050065 520__ $$aThis paper presents Prithvi-EO-2.0, a new geospatial foundation model that offers significant improvements over its predecessor, Prithvi-EO-1.0. Trained on 4.2 million global time series samples from NASA’s Harmonized Landsat and Sentinel-2 data archive at 30-m resolution, the new model incorporates temporal and location embeddings for enhanced performance across various geospatial tasks. Through extensive benchmarking with GEO-Bench, the model outperforms the previous Prithvi-EO model by 8% across a range of tasks. It also outperforms six other geospatial foundation models when benchmarked on remote sensing tasks from different domains and resolutions (i.e. from 0.1 m to 15 m). The results demonstrate the versatility of the model in both classical Earth observation and high-resolution applications. Early involvement of end-users and subject matter experts (SMEs) allowed constant feedback on model and dataset design, enabling customization across diverse SME-led applications in disaster response, land cover and crop mapping, and ecosystem dynamics monitoring. Prithvi-EO-2.0 is available as an open-source model on Hugging Face and IBM TerraTorch, with additional resources on GitHub. The project exemplifies the Trusted Open Science approach embraced by all involved organizations.
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001050065 7001_ $$00000-0002-8186-6361$$aRoy, Sujit$$b1$$eCorresponding author
001050065 7001_ $$0P:(DE-HGF)0$$aFraccaro, Paolo$$b2$$eCorresponding author
001050065 7001_ $$0P:(DE-HGF)0$$aGíslason, Orsteinn Elí$$b3
001050065 7001_ $$0P:(DE-HGF)0$$aBlumenstiel, Benedikt$$b4
001050065 7001_ $$0P:(DE-HGF)0$$aGhosal, Rinki$$b5
001050065 7001_ $$0P:(DE-HGF)0$$aDe Oliveira, Pedro Henrique$$b6
001050065 7001_ $$0P:(DE-HGF)0$$aAlmeida, Joao Lucas de Sousa$$b7
001050065 7001_ $$0P:(DE-Juel1)178695$$aSedona, Rocco$$b8
001050065 7001_ $$00000-0001-8563-1503$$aKang, Yanghui$$b9
001050065 7001_ $$00000-0002-5701-760X$$aChakraborty, Srija$$b10
001050065 7001_ $$0P:(DE-HGF)0$$aWang, Sizhe$$b11
001050065 7001_ $$0P:(DE-HGF)0$$aGomes, Carlos$$b12
001050065 7001_ $$0P:(DE-HGF)0$$aKumar, Ankur$$b13
001050065 7001_ $$0P:(DE-HGF)0$$aGaur, Vishal$$b14
001050065 7001_ $$0P:(DE-HGF)0$$aTruong, Myscon$$b15
001050065 7001_ $$0P:(DE-HGF)0$$aGodwin, Denys$$b16
001050065 7001_ $$0P:(DE-HGF)0$$aKhallaghi, Sam$$b17
001050065 7001_ $$00009-0000-3172-996X$$aLee, Hyunho$$b18
001050065 7001_ $$00000-0002-8923-1213$$aHsu, Chia-Yu$$b19
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001050065 7001_ $$0P:(DE-HGF)0$$aKolluru, Venkatesh$$b24
001050065 7001_ $$0P:(DE-HGF)0$$aKeenan, Trevor$$b25
001050065 7001_ $$00000-0001-7566-7561$$aArevalo, Paulo$$b26
001050065 7001_ $$00000-0003-2237-9499$$aLi, Wenwen$$b27
001050065 7001_ $$00000-0001-5662-3643$$aAlemohammad, Hamed$$b28
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001050065 7001_ $$0P:(DE-Juel1)171343$$aCavallaro, Gabriele$$b35
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001050065 7001_ $$00000-0002-5087-6903$$aMaskey, Manil$$b37
001050065 7001_ $$00000-0002-0647-1941$$aRamachandran, Rahul$$b38
001050065 7001_ $$0P:(DE-HGF)0$$aMoreno, Juan Bernabe$$b39
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