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ORCIDDavid B. Lobell
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- affiliation: Stanford University, Department of Earth System Science, Center on Food Security and the Environment, CA, USA
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2020 – today
- 2026
[i35]Yuchi Ma, Yawen Shen, Anu Swatantran, David B. Lobell:
Harvesting AlphaEarth: Benchmarking the Geospatial Foundation Model for Agricultural Downstream Tasks. CoRR abs/2601.00857 (2026)- 2025
- [c29]Angela Tsao, David B. Lobell:
Plantation Bench: A Multiscale, Multimodal Remote Sensing Benchmark for Plantation Mapping Under Distribution Shift. ICCVW 2025: 2965-2975 - [c28]Samar Khanna, Medhanie Irgau, David B. Lobell, Stefano Ermon:
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts. ICML 2025 - [i34]Harrison H. Li, Medhanie Irgau, Nabil Janmohamed, Karen Solveig Rieckmann, David B. Lobell:
Scalable Vision-Guided Crop Yield Estimation. CoRR abs/2511.12999 (2025) - 2024
- [j15]Malte von Bloh, David B. Lobell
, Senthold Asseng:
Knowledge informed hybrid machine learning in agricultural yield prediction. Comput. Electron. Agric. 227: 109606 (2024) - [c27]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: 22438-22446 - [c26]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. CVPR Workshops 2024: 5366-5374 - [c25]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 - [c24]Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon:
GeoLLM: Extracting Geospatial Knowledge from Large Language Models. ICLR 2024 - [c23]Rohin Manvi, Samar Khanna, Marshall Burke, David B. Lobell, Stefano Ermon:
Large Language Models are Geographically Biased. ICML 2024: 34654-34669 - [i33]Rohin Manvi, Samar Khanna, Marshall Burke, David B. Lobell, Stefano Ermon:
Large Language Models are Geographically Biased. CoRR abs/2402.02680 (2024) - [i32]Samar Khanna, Medhanie Irgau, David B. Lobell, Stefano Ermon:
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts. CoRR abs/2406.10973 (2024) - 2023
- [j14]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): 4123 (2023) - [j13]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): 5162 (2023) - [i31]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 abs/2301.01449 (2023) - [i30]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 abs/2308.12061 (2023) - [i29]Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon:
GeoLLM: Extracting Geospatial Knowledge from Large Language Models. CoRR abs/2310.06213 (2023) - [i28]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 abs/2312.03606 (2023) - 2022
- [j12]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): 703 (2022) - [j11]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): 5738 (2022) - [c22]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: 12034-12042 - [c21]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: 89:1-89:4 - [c20]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 - [i27]Sherrie Wang, François Waldner, David B. Lobell:
Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision. CoRR abs/2201.04771 (2022) - [i26]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 abs/2204.01736 (2022) - [i25]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 abs/2207.08051 (2022) - [i24]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 abs/2212.09681 (2022) - 2021
- [j10]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): e2018863118 (2021) - [j9]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): 1870 (2021) - [j8]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): 3160 (2021) - [c19]Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon:
Efficient Poverty Mapping from High Resolution Remote Sensing Images. AAAI 2021: 12-20 - [c18]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: 268-276 - [c17]Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon:
Geography-Aware Self-Supervised Learning. ICCV 2021: 10161-10170 - [c16]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: 27903-27915 - [c15]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 - [i23]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 abs/2106.11485 (2021) - [i22]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 abs/2109.01246 (2021) - [i21]Stefania Di Tommaso, Sherrie Wang, David B. Lobell:
Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops. CoRR abs/2109.06972 (2021) - [i20]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 abs/2110.10275 (2021) - [i19]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 abs/2111.04724 (2021) - [i18]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 abs/2112.09126 (2021) - 2020
- [j7]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): 100 (2020) - [j6]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): 207 (2020) - [j5]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): 2957 (2020) - [j4]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): 3471 (2020) - [c14]Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Farm Parcel Delineation Using Spatio-temporal Convolutional Networks. CVPR Workshops 2020: 340-349 - [c13]Marc Rußwurm, Sherrie Wang, Marco Körner, David B. Lobell:
Meta-Learning for Few-Shot Land Cover Classification. CVPR Workshops 2020: 788-796 - [c12]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: 5179-5182 - [c11]Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. IJCAI 2020: 4410-4416 - [i17]Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. CoRR abs/2002.01612 (2020) - [i16]Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks. CoRR abs/2004.05471 (2020) - [i15]Marc Rußwurm, Sherrie Wang, Marco Körner, David B. Lobell:
Meta-Learning for Few-Shot Land Cover Classification. CoRR abs/2004.13390 (2020) - [i14]Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Efficient Poverty Mapping using Deep Reinforcement Learning. CoRR abs/2006.04224 (2020) - [i13]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 abs/2006.08661 (2020) - [i12]Marshall Burke, Anne Driscoll, David B. Lobell, Stefano Ermon:
Using satellite imagery to understand and promote sustainable development. CoRR abs/2010.06988 (2020) - [i11]Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon:
Geography-Aware Self-Supervised Learning. CoRR abs/2011.09980 (2020)
2010 – 2019
- 2019
- [c10]Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David B. Lobell, Stefano Ermon:
Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data. AAAI 2019: 3967-3974 - [c9]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: 353-359 - [c8]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: 75-82 - [c7]Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon:
Learning to Interpret Satellite Images using Wikipedia. IJCAI 2019: 3620-3626 - [c6]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: 2698-2706 - [i10]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 abs/1902.11110 (2019) - [i9]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 abs/1905.01627 (2019) - [i8]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 abs/1905.02196 (2019) - [i7]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 abs/1905.02506 (2019) - 2018
- [c5]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: 50:1-50:5 - [c4]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: 616-625 - [i6]Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David B. Lobell, Stefano Ermon:
Tile2Vec: Unsupervised representation learning for spatially distributed data. CoRR abs/1805.02855 (2018) - [i5]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 abs/1806.00894 (2018) - [i4]Evan Sheehan, Burak Uzkent, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon:
Learning to Interpret Satellite Images Using Wikipedia. CoRR abs/1809.10236 (2018) - 2017
- [j3]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): 931 (2017) - [c3]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: 4559-4566 - [c2]Reid Pryzant, Stefano Ermon, David B. Lobell:
Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning. CVPR Workshops 2017: 1524-1532 - [i3]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 abs/1711.03654 (2017) - [i2]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 abs/1711.05809 (2017) - 2016
- [j2]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): 860 (2016) - [c1]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: 3929-3935 - 2015
- [i1]Sang Michael Xie, Neal Jean, Marshall Burke, David B. Lobell, Stefano Ermon:
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping. CoRR abs/1510.00098 (2015)
2000 – 2009
- 2003
- [j1]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): 1277-1282 (2003)
Coauthor Index
[c28] [c27] [c26] [c25] [c24] [c23] [i33] [i32] [i31] [i30] [i29] [i28] [c22] [c21] [c20] [i26] [i25] [j10] [c19] [c18] [c17] [c16] [c15] [i23] [i19] [i18] [c14] [c11] [i17] [i16] [i14] [i13] [i12] [i11] [c10] [c9] [c8] [c7] [c6] [i10] [i9] [i8] [i7] [c5] [c4] [i6] [i5] [i4] [c3] [c2] [i3] [i2] [c1] [i1]
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