Hsu, Chia-Yu

GeoAI for Large-Scale Image Analysis and Machine Vision: Recent Progress of Artificial Intelligence in Geography

Li, W., & Hsu, C.-Y. (2022) · ISPRS International Journal of Geo-Information

Remote-Sensing Image ClassificationRemote Sensing and Land Use

Cited by 147

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

Cited by 100

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

Cited by 99

Knowledge-Driven GeoAI: Integrating Spatial Knowledge into Multi-Scale Deep Learning for Mars Crater Detection

Hsu, C.-Y., Li, W., & Wang, S. (2021) · Remote Sensing

Advanced Neural Network ApplicationsPlanetary Science and Exploration

Cited by 53

Assessment of a new GeoAI foundation model for flood inundation mapping

Li, W., Lee, H., Wang, S., Hsu, C.-Y., & Arundel, S. T. (2023) · arXiv

Flood Risk Assessment and ManagementRemote-Sensing Image Classification

Cited by 40

Assessment of a new GeoAI foundation model for flood inundation mapping

Li, W., Lee, H., Wang, S., Hsu, C.-Y., & Arundel, S. T. (2023) · Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery

Flood Risk Assessment and ManagementRemote-Sensing Image Classification

Cited by 39