David B. Lobell

Full Professor, Earth System Science, Stanford University

Joined

July 2019

Names

David B. Lobell

Emails

****@stanford.edu (Confirmed)

Personal Links

Career & Education History

Full Professor

Earth System Science, Stanford University (stanford.edu)

2009 – Present

Advisors, Relations & Conflicts

Coauthor

2015 – Present

Expertise

poverty mapping

2015 – 2024

remote sensing

2010 – 2024

climate impacts

2010 – 2024

Publications

Building coverage estimation with low-resolution remote sensing imagery
Enci Liu, Chenlin Meng, Matthew Kolodner, Eun Jee Sung, Sihang Chen, Marshall Burke, David B. Lobell, Stefano Ermon
- arXiv preprint arXiv:2301.01449
- Readers: Everyone
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
Samar Khanna, Medhanie Irgau, David B. Lobell, Stefano Ermon
- ICML 2025 poster
- Readers: Everyone
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
Samar Khanna, Medhanie Irgau, David B. Lobell, Stefano Ermon
- Submitted to ICLR 2025
- Readers: Everyone
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
Samar Khanna, Medhanie Irgau, David B. Lobell, Stefano Ermon
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
Large Language Models are Geographically Biased
Rohin Manvi, Samar Khanna, Marshall Burke, David B. Lobell, Stefano Ermon
- ICML 2024 Poster
- Readers: Everyone
DiffusionSat: A Generative Foundation Model for Satellite Imagery
Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon
- ICLR 2024 poster
- Readers: Everyone
GeoLLM: Extracting Geospatial Knowledge from Large Language Models
Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon
- ICLR 2024 poster
- Readers: Everyone
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David B. Lobell, Stefano Ermon
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning
Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Lee, Marshall Burke, David B. Lobell, Stefano Ermon
- Published: 11 Oct 2021, Last Modified: 12 Oct 2025
- NeurIPS 2021 Datasets and Benchmarks Track (Round 2)
- Readers: Everyone
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis
Yutong He, Dingjie Wang, Nicholas Lai, William Zhang, Chenlin Meng, Marshall Burke, David B. Lobell, Stefano Ermon
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone

View all 16 publications

Co-Authors

View all 41 co-authors