Canopy Tree Height Estimation using Quantile Regression: Modeling and Evaluating Uncertainty in Remote Sensing
Cite as
Schrödter, K., Pauls, J., & Gieseke, F. (2026). Canopy Tree Height Estimation using Quantile Regression: Modeling and Evaluating Uncertainty in Remote Sensing. In Proceedings of the Twenty-Ninth Annual Conference on Artificial Intelligence and Statistics (AISTATS), Tangier. (accepted / in press (not yet published))Details
Publication type
Research article in proceedings (conference)
Peer reviewed
Yes
Publication status
accepted / in press (not yet published)
Year
2026
Conference
Twenty-Ninth Annual Conference on Artificial Intelligence and Statistics (AISTATS)
Venue
Tangier
Journal
Proceedings of Machine Learning Research
Book title
Proceedings of the 29th Annual Conference on Artificial Intelligence and Statistics (AISTATS)
ISSN
2640-3498