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cs.CV2024
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications
Daniela Szwarcman, Sujit Roy, Paolo Fraccaro +33
This 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…
cs.CV2022★ 1 cited
Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations
Nishant Yadav, Meytar Sorek-Hamer, Michael Von Pohle +9
Urban air pollution is a public health challenge in low- and middle-income countries (LMICs). However, LMICs lack adequate air quality (AQ) monitoring infrastructure. A persistent…