A Study of Two Impactful Heavy Rainfall Events in the Southern Appalachian Mountains during Early 2020, Part II; Regional Overview, Rainfall Evolution, and Satellite QPE Utility. - Douglas Miller; Malarvizhi Arulraj; Ralph Ferraro; Christopher Grassotti; Bob Kuligowski; Shuyan Liu; Veljko Petkovic; Shaorong Wu; Pingping Xie (Remote. Sens., 2021)

Bayesian Deep Learning for Passive Microwave Precipitation Type Detection. - Marko Orescanin; Veljko Petkovic; Scott W. Powell; Benjamin R. Marsh; Sean C. Heslin (IEEE Geosci. Remote. Sens. Lett., 2022)

Decomposing Satellite-Based Classification Uncertainties in Large Earth Science Datasets. - Pedro Ortiz; Marko Orescanin; Veljko Petkovic; Scott W. Powell; Benjamin R. Marsh (IEEE Trans. Geosci. Remote. Sens., 2022)

Utilizing Quantified Uncertainty in Synthetic Microwave Brightness Temperatures to Reveal Hidden Tropical Cyclone Structures. - Eleanor Casas; Pedro Ortiz; Marko Orescanin; Scott W. Powell; Malarvizhi Arulaj; Veljko Petkovic (IGARSS, 2023)

Improving Deep Learning for Remote Sensing Research through a Bayesian Approach with Uncertainty Decomposition. - Pedro Ortiz; Eleanor Casas; Marko Orescanin; Scott W. Powell; Veljko Petkovic (IGARSS, 2023)

Beyond Mean Squared Error: Alternative Loss Functions for Geoscience Image Regression with Neural Networks. - Stephen Steckler; Marko Orescanin; Pedro Ortiz; Veljko Petkovic (IGARSS, 2024)

Scaling Uncertainty Quantification From Patches to Scenes Through Discontinuity-Aware Stitching. - Stephen Steckler; Marko Orescanin; Scott W. Powell; Pedro Ortiz; Veljko Petkovic (IEEE Geosci. Remote. Sens. Lett., 2024)