Wang, Sizhe

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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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

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GeoGraphVis: A Knowledge Graph and Geovisualization Empowered Cyberinfrastructure to Support Disaster Response and Humanitarian Aid

Li, W., Wang, S., Chen, X., Tian, Y., Gu, Z., Lopez-Carr, A., Schroeder, A., Currier, K., Schildhauer, M., & Zhu, R. (2023) · ISPRS International Journal of Geo-Information

Disaster Management and ResilienceGeographic Information Systems Studies

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Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features: the case of ice-wedge polygons

Li, W., Hsu, C.-Y., Wang, S., Witharana, C., & Liljedahl, A. (2022) · Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery

Advanced Neural Network ApplicationsRemote-Sensing Image Classification

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