David B. Lobell

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 70

Top Topics

Satellite Imagery

Top Venues

Publications

Jonathan Xu, Amna Elmustafa, Liya Weldegebriel, Emnet Negash, Richard Lee, Chenlin Meng, Stefano Ermon, David B. Lobell
HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing. AAAI (2024)
Rohin Manvi, Samar Khanna, Marshall Burke, David B. Lobell, Stefano Ermon
Large Language Models are Geographically Biased. CoRR (2024)
Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon
GeoLLM: Extracting Geospatial Knowledge from Large Language Models. ICLR (2024)
Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon
DiffusionSat: A Generative Foundation Model for Satellite Imagery. ICLR (2024)
Samar Khanna, Medhanie Irgau, David B. Lobell, Stefano Ermon
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts. CoRR (2024)
Enci Liu, Chenlin Meng, Matthew Kolodner, Eun Jee Sung, Sihang Chen, Marshall Burke, David B. Lobell, Stefano Ermon
Building Coverage Estimation with Low-resolution Remote Sensing Imagery. CoRR (2023)
Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon
DiffusionSat: A Generative Foundation Model for Satellite Imagery. CoRR (2023)
Stefania Di Tommaso, Sherrie Wang, Vivek Vajipey, Noel Gorelick, Rob Strey, David B. Lobell
Annual Field-Scale Maps of Tall and Short Crops at the Global Scale Using GEDI and Sentinel-2. Remote. Sens. 15 (17) (2023)
Jonathan Xu, Amna Elmustafa, Liya Weldegebriel, Emnet Negash, Richard Lee, Chenlin Meng, Stefano Ermon, David B. Lobell
HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing. CoRR (2023)
Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon
GeoLLM: Extracting Geospatial Knowledge from Large Language Models. CoRR (2023)
Angela Tsao, Ikenna Nzewi, Ayodeji Jayeoba, Uzoma Ayogu, David B. Lobell
Canopy Height Mapping for Plantations in Nigeria Using GEDI, Landsat, and Sentinel-2. Remote. Sens. 15 (21) (2023)
Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David B. Lobell, Stefano Ermon
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery. CoRR (2022)
Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David B. Lobell, Stefano Ermon
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery. NeurIPS (2022)
Sherrie Wang, François Waldner, David B. Lobell
Unlocking Large-Scale Crop Field Delineation in Smallholder Farming Systems with Transfer Learning and Weak Supervision. Remote. Sens. 14 (22) (2022)
Yutong He, William Zhang, Chenlin Meng, Marshall Burke, David B. Lobell, Stefano Ermon
Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution. CoRR (2022)
Amna Elmustafa, Erik Rozi, Yutong He, Gengchen Mai, Stefano Ermon, Marshall Burke, David B. Lobell
Understanding economic development in rural Africa using satellite imagery, building footprints and deep models. SIGSPATIAL/GIS (2022)
Stefania Di Tommaso, Sherrie Wang, Vivek Vajipey, Noel Gorelick, Rob Strey, David B. Lobell
Annual field-scale maps of tall and short crops at the global scale using GEDI and Sentinel-2. CoRR (2022)
Sherrie Wang, François Waldner, David B. Lobell
Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision. CoRR (2022)
Ju Young Lee, Sherrie Wang, Anjuli Jain Figueroa, Rob Strey, David B. Lobell, Rosamond L. Naylor, Steven M. Gorelick
Mapping Sugarcane in Central India with Smartphone Crowdsourcing. Remote. Sens. 14 (3) (2022)
Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David B. Lobell, Stefano Ermon
IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling. AAAI (2022)
Jihyeon Janel Lee, Nina R. Brooks, Fahim Tajwar, Marshall Burke, Stefano Ermon, David B. Lobell, Debashish Biswas, Stephen P. Luby
Scalable deep learning to identify brick kilns and aid regulatory capacity. Proc. Natl. Acad. Sci. USA 118 (17) (2021)
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
Geography-Aware Self-Supervised Learning. ICCV (2021)
Dan M. Kluger, Sherrie Wang, David B. Lobell
Two Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions. CoRR (2021)
Preeti Rao, Weiqi Zhou, Nishan Bhattarai, Amit K. Srivastava, Balwinder Singh, Shishpal Poonia, David B. Lobell, Meha Jain
Using Sentinel-1, Sentinel-2, and Planet Imagery to Map Crop Type of Smallholder Farms. Remote. Sens. 13 (10) (2021)
Chenxi Lin, Liheng Zhong, Xiao-Peng Song, Jinwei Dong, David B. Lobell, Zhenong Jin
Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach. CoRR (2021)
Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. NeurIPS Datasets and Benchmarks (2021)
Yutong He, Dingjie Wang, Nicholas Lai, William Zhang, Chenlin Meng, Marshall Burke, David B. Lobell, Stefano Ermon
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis. CoRR (2021)
David B. Lobell, Stefania Di Tommaso, Marshall Burke, Talip Kilic
Twice Is Nice: The Benefits of Two Ground Measures for Evaluating the Accuracy of Satellite-Based Sustainability Estimates. Remote. Sens. 13 (16) (2021)
Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. CoRR (2021)
Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David B. Lobell, Stefano Ermon
IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling. CoRR (2021)
Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
Efficient Poverty Mapping from High Resolution Remote Sensing Images. AAAI (2021)
Stefania Di Tommaso, Sherrie Wang, David B. Lobell
Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops. CoRR (2021)
Jihyeon Janel Lee, Dylan Grosz, Burak Uzkent, Sicheng Zeng, Marshall Burke, David B. Lobell, Stefano Ermon
Predicting Livelihood Indicators from Community-Generated Street-Level Imagery. AAAI (2021)
Yutong He, Dingjie Wang, Nicholas Lai, William Zhang, Chenlin Meng, Marshall Burke, David B. Lobell, Stefano Ermon
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis. NeurIPS (2021)
Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. CoRR (2020)
Sherrie Wang, William Chen, Sang Michael Xie, George Azzari, David B. Lobell
Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery. Remote. Sens. 12 (2) (2020)
Marc Rußwurm, Sherrie Wang, Marco Körner, David B. Lobell
Meta-Learning for Few-Shot Land Cover Classification. CVPR Workshops (2020)
Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks. CoRR (2020)
Walter T. Dado, Jillian M. Deines, Rinkal Patel, Sang-Zi Liang, David B. Lobell
High-Resolution Soybean Yield Mapping Across the US Midwest Using Subfield Harvester Data. Remote. Sens. 12 (21) (2020)
Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Farm Parcel Delineation Using Spatio-temporal Convolutional Networks. CVPR Workshops (2020)
Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Efficient Poverty Mapping using Deep Reinforcement Learning. CoRR (2020)
David B. Lobell, Stefania Di Tommaso, Calum You, Ismael Yacoubou Djima, Marshall Burke, Talip Kilic
Sight for Sorghums: Comparisons of Satellite- and Ground-Based Sorghum Yield Estimates in Mali. Remote. Sens. 12 (1) (2020)
Jihyeon Janel Lee, Dylan Grosz, Sicheng Zeng, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Predicting Livelihood Indicators from Crowdsourced Street Level Images. CoRR (2020)
Marshall Burke, Anne Driscoll, David B. Lobell, Stefano Ermon
Using satellite imagery to understand and promote sustainable development. CoRR (2020)
Marc Rußwurm, Sherrie Wang, Marco Körner, David B. Lobell
Meta-Learning for Few-Shot Land Cover Classification. CoRR (2020)
Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. IJCAI (2020)
David B. Lobell, Walter T. Dado, Jillian M. Deines, Stefania Di Tommaso, Sherrie Wang
Landsat-Based Reconstruction of Corn and Soybean Yield Histories in the United States Since 1999. IGARSS (2020)
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
Geography-Aware Self-Supervised Learning. CoRR (2020)
Sherrie Wang, Stefania Di Tommaso, Joey Faulkner, Thomas Friedel, Alexander Kennepohl, Rob Strey, David B. Lobell
Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning. Remote. Sens. 12 (18) (2020)
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon
Learning to Interpret Satellite Images using Wikipedia. IJCAI (2019)
Evan Sheehan, Chenlin Meng, Matthew Tan, Burak Uzkent, Neal Jean, Marshall Burke, David B. Lobell, Stefano Ermon
Predicting Economic Development using Geolocated Wikipedia Articles. KDD (2019)
Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David B. Lobell, Stefano Ermon
Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data. AAAI (2019)
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon
Learning to Interpret Satellite Images in Global Scale Using Wikipedia. CoRR (2019)
Evan Sheehan, Chenlin Meng, Matthew Tan, Burak Uzkent, Neal Jean, David B. Lobell, Marshall Burke, Stefano Ermon
Predicting Economic Development using Geolocated Wikipedia Articles. CoRR (2019)
Rose M. Rustowicz, Robin Cheong, Lijing Wang, Stefano Ermon, Marshall Burke, David B. Lobell
Semantic Segmentation of Crop Type in Africa: A Novel Dataset and Analysis of Deep Learning Methods. CVPR Workshops (2019)
Wenjie Hu, Jay Harshadbhai Patel, Zoe-Alanah Robert, Paul Novosad, Samuel Asher, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon
Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery. CoRR (2019)
Wenjie Hu, Jay Harshadbhai Patel, Zoe-Alanah Robert, Paul Novosad, Samuel Asher, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon
Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery. AIES (2019)
Anthony Perez, Swetava Ganguli, Stefano Ermon, George Azzari, Marshall Burke, David B. Lobell
Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty. CoRR (2019)
Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David B. Lobell, Stefano Ermon
Tile2Vec: Unsupervised representation learning for spatially distributed data. CoRR (2018)
Barak Oshri, Annie Hu, Peter Adelson, Xiao Chen, Pascaline Dupas, Jeremy Weinstein, Marshall Burke, David B. Lobell, Stefano Ermon
Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning. CoRR (2018)
Evan Sheehan, Burak Uzkent, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon
Learning to Interpret Satellite Images Using Wikipedia. CoRR (2018)
Barak Oshri, Annie Hu, Peter Adelson, Xiao Chen, Pascaline Dupas, Jeremy Weinstein, Marshall Burke, David B. Lobell, Stefano Ermon
Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning. KDD (2018)
Anna X. Wang, Caelin Tran, Nikhil Desai, David B. Lobell, Stefano Ermon
Deep Transfer Learning for Crop Yield Prediction with Remote Sensing Data. COMPASS (2018)
Zhenong Jin, George Azzari, Marshall Burke, Stephen Aston, David B. Lobell
Mapping Smallholder Yield Heterogeneity at Multiple Scales in Eastern Africa. Remote. Sens. 9 (9) (2017)
Jiaxuan You, Xiaocheng Li, Melvin Low, David B. Lobell, Stefano Ermon
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data. AAAI (2017)
Anthony Perez, Christopher Yeh, George Azzari, Marshall Burke, David B. Lobell, Stefano Ermon
Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning. CoRR (2017)
Huaiyang Zhong, Xiaocheng Li, David B. Lobell, Stefano Ermon, Margaret L. Brandeau
Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans. CoRR (2017)
Reid Pryzant, Stefano Ermon, David B. Lobell
Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning. CVPR Workshops (2017)
Sang Michael Xie, Neal Jean, Marshall Burke, David B. Lobell, Stefano Ermon
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping. AAAI (2016)
Meha Jain, Amit K. Srivastava, Balwinder Singh, Rajiv K. Joon, Andrew McDonald, Keitasha Royal, Madeline C. Lisaius, David B. Lobell
Mapping Smallholder Wheat Yields and Sowing Dates Using Micro-Satellite Data. Remote. Sens. 8 (10) (2016)
Sang Michael Xie, Neal Jean, Marshall Burke, David B. Lobell, Stefano Ermon
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping. CoRR (2015)
David B. Lobell, Gregory Asner
Comparison of Earth Observing-1 ALI and Landsat ETM+ for crop identification and yield prediction in Mexico. IEEE Trans. Geosci. Remote. Sens. 41 (6) (2003)