Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 14 Life Below Water -
SDG 15 Life on Land
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Dive into the research topics where Guorui Jia is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Deep Learning-Based Model for Nowcasting of Convective Initiation Using Infrared Observations
Zhao, H., Ma, X., Jia, G., Xu, J., Xie, Y. & Zhao, Y., 2026, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 19, p. 4188-4202 15 p.Research output: Contribution to journal › Article › peer-review
Open Access -
An Integrated Correction Method for Geometric, Atmospheric, and Terrain Effects in Hyperspectral Remote Sensing Images
Jia, G., Zhao, Y., Liu, S., Xiao, C. & Zhao, H., 2026, In: IEEE Transactions on Geoscience and Remote Sensing. 64, 5500123.Research output: Contribution to journal › Article › peer-review
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DeepOE: A physics-informed neural network for atmospheric temperature profile retrieval
Ma, X., Zhao, H., Jia, G., Xu, J. & Zhao, Y., 2026, (Accepted/In press) In: Atmospheric and Oceanic Science Letters. 100784.Research output: Contribution to journal › Article › peer-review
Open Access -
Terrain-Aware Uncertainty Quantification and Cross-Sensor Consistency Analysis of Hyperspectral Surface Reflectance
Zhao, Y., Jia, G. & Zhao, H., 2026, In: IEEE Transactions on Geoscience and Remote Sensing. 64, 5500618.Research output: Contribution to journal › Article › peer-review
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A Physics-embedded Deep Learning Method for Short-term Precipitation Prediction using Infrared Image and Atmospheric Vertical Profile
Xu, J., Jia, G., Zhao, H., Ma, X. & Zhao, Y., 15 Dec 2025, SPIE Future Sensing Technologies 2025. Matoba, O., Shaw, J. A. & Valenta, C. R. (eds.). SPIE, 137100O. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13710).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review