Alemohammad, Hamed

Foundation Models for Generalist Geospatial Artificial Intelligence

Jakubik, J., Roy, S., Phillips, C. E., Fraccaro, P., Godwin, D., Zadrozny, B., Szwarcman, D., Gomes, C., Nyirjesy, G., Edwards, B., et al. (2023) · arXiv

Remote-Sensing Image ClassificationAdvanced Neural Network Applications

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Prithvi-EO-2.0: A Versatile Multitemporal Foundation Model for Earth Observation Applications

Szwarcman, D., Roy, S., Fraccaro, P., Gislason, T. E., Blumenstiel, B., Ghosal, R., de Oliveira, P. H., de Sousa Almeida, J. L., Sedona, R., Kang, Y., et al. (2026) · IEEE Transactions on Geoscience and Remote Sensing

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

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Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications

Szwarcman, D., Roy, S., Fraccaro, P., Gíslason, Þ. E., Blumenstiel, B., Ghosal, R., de Oliveira, P. H., Almeida, J. L. D. S., Sedona, R., Kang, Y., et al. (2024) · arXiv

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

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GEO-Bench: Toward Foundation Models for Earth Monitoring

Lacoste, A., Lehmann, N., Rodriguez, P., Sherwin, E., Kerner, H., Lütjens, B., Irvin, J., Dao, D., Alemohammad, H., Drouin, A., et al. (2023) · Advances in Neural Information Processing Systems 36

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

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