Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data

1 code implementation • 12 Apr 2024 • Nils Lehmann, Nina Maria Gottschling, Stefan Depeweg, Eric Nalisnick

We provide a detailed evaluation of predictive uncertainty estimates from state-of-the-art uncertainty quantification (UQ) methods for DNNs.

Decision Making Earth Observation +1

SSL4EO-L: Datasets and Foundation Models for Landsat Imagery

2 code implementations • NeurIPS 2023 • Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee

The Landsat program is the longest-running Earth observation program in history, with 50+ years of data acquisition by 8 satellites.

Cloud Detection Earth Observation +2

GEO-Bench: Toward Foundation Models for Earth Monitoring

1 code implementation • NeurIPS 2023 • Alexandre Lacoste, Nils Lehmann, Pau Rodriguez, Evan David Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Andrew Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vazquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiao Xiang Zhu

Recent progress in self-supervision has shown that pre-training large neural networks on vast amounts of unsupervised data can lead to substantial increases in generalization to downstream tasks.