Publications

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  1. 2026
  2. DPA: A One-Stop Metric to Measure Bias Amplification in Classification Datasets
    Bhanu Tokas, Rahul Nair, Hannah Kerner
    NeurIPS 2026
    paper site bibtex
  3. A Woman with a Knife or a Knife with a Woman? Measuring Directional Bias Amplification in Image Captions
    Rahul Nair, Bhanu Tokas, Hannah Kerner
    WACV 2026
    paper bibtex
  4. Multi-Head LatentMoE and Head Parallel: Communication-Efficient and Deterministic MoE Parallelism
    Chenwei Cui, Rockwell Jackson, Benjamin Joseph Herrera, Ana María Tárano, Hannah Kerner
    ICML 2026
    paper bibtex
  5. MOMO: Mars Orbital Model Foundation Model for Mars Orbital Applications
    Mirali Purohit, Bimal Gajera, Irish Mehta, Bhanu Tokas, Jacob Adler, Steven Lu, Scott Dickenshied, Serina Diniega, Brian Bue, Umaa Rebbapragada, et al.
    CVPR 2026
    paper bibtex
  6. PRUE: A Practical Recipe for Field Boundary Segmentation at Scale
    Gedeon Muhawenayo, Caleb Robinson, Subash Khanal, Zhanpei Fang, Isaac Corley, Alexander Wollam, Tianyi Gao, Leonard Strnad, Ryan Avery, Lyndon Estes, et al.
    CVPR 2026
    paper bibtex
  7. OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation
    Henry Herzog, Favyen Bastani, Yawen Zhang, Gabriel Tseng, Joseph Redmon, Hadrien Sablon, Ryan Park, Jacob Morrison, et al.
    CVPR 2026
    paper bibtex
  8. 2025
  9. A Framework for EO-Based National Agricultural Monitoring (EO-NAM) for the African Context
    Catherine Nakalembe, Hannah Kerner, Ivan Zvonkov, Michael Humber, Andres Galvez, Edna Makabe, Stefano Venturini, Inbal Becker-Reshef
    npj Sustainable Agriculture 2025
    paper bibtex
  10. A Novel Deep Learning Algorithm for Broad Scale Seagrass Extent Mapping in Shallow Coastal Environments
    Jiwei Peng, Jiwei Li, Thomas C. Ingalls, Steven R. Schill, Hannah R. Kerner, Gregory P. Asner
    ISPRS Journal of Photogrammetry and Remote Sensing 2025
    paper bibtex
  11. Accelerating Research on SDG2 'Zero Hunger' by Opening Commercial Very-High Resolution Satellite Image Archives
    Philippe Rufin, et al. (Hannah Kerner one of 16 authors)
    PNAS 2025
    paper bibtex
  12. How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?
    Muskaan Purohit, Gedeon Muhawenayo, Esther Rolf, Hannah Kerner
    AAAI Preparing Good Data for Generative AI Workshop 2025
    paper bibtex
  13. Data Augmentation Approaches for Satellite Imagery
    Lauren Hopkins, Wai-Ki Wong, Hannah Kerner, Fei Li, Rebecca Hutchinson
    AAAI 2025
    paper bibtex
  14. Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite Images
    Ashna Mohan, Andrea Gomez-Patron, Matthew Pritchard, Hannah Kerner
    AAAI 2025
    paper bibtex
  15. Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation
    Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Akram Ahmad, Eddie Choi, Nathan Jacobs, Connor Holmes, Michael Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jason Marcus
    AAAI 2025
    paper code site bibtex
  16. Classification Drives Geographic Bias in Street Scene Segmentation
    Rahul Nair, Gabriel Tseng, Esther Rolf, Bhanu Tokas, Hannah Kerner
    CVPR Fair, Data-Efficient, and Trusted CV Workshop 2025
    paper bibtex
  17. Task-Informed Meta-Learning for Remote Sensing
    Gabriel Tseng, Hannah Kerner, David Rolnick
    CVPR EarthVision Workshop 2025
    paper bibtex
  18. DataS3: Dataset Subset Selection for Specialization
    Nikhil Hulkund, Amro Maalouf, Linda Cai, Dennis Yang, Addison O'Neill, Timo Haucke, Soham Mukherjee, Vivek V. Ramaswamy, Junhong Shen, Gabriel Tseng, Mike Walmsley, Tai-Hua Wang, Hannah Kerner, Irene Y. Chen, Yogesh Girdhar, Daniela Rus, Ken Goldberg, Sara Beery
    ICML DataWorld Workshop 2025
    paper bibtex
  19. Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
    Gabriel Tseng, Archie Fuller, Michael Reil, Hannah Herzog, Patrick Beukema, Favyen Bastani, Joseph Redmon Green, Evan Shelhamer, Hannah Kerner, David Rolnick
    ICML Terrabytes Workshop 2025
    paper bibtex
  20. Deploying Geospatial Foundation Models in the Real World
    Cristhian Butsko, Gabriel Tseng, Kristof Van Tricht, Gabriele Milli, David Rolnick, Ruben Cartuyvels, Inbal Becker-Reshef, Zoltan Szantoi, Hannah Kerner
    PMLR 2025 (to appear)
    paper bibtex
  21. Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks
    Mirali Purohit, Bimal Gajera, Vatsal Malaviya, Irish Mehta, Kunal Sunil Kasodekar, Jacob Adler, Steven Lu, Umaa Rebbapragada, Hannah Kerner
    NeurIPS Datasets & Benchmarks 2025
    paper code bibtex
  22. Galileo: Learning Global and Local Features in Pretrained Remote Sensing Models
    Gabriel Tseng, Archie Fuller, Michael Reil, Hannah Herzog, Patrick Beukema, Favyen Bastani, Joseph Redmon Green, Evan Shelhamer, Hannah Kerner, David Rolnick
    ICML 2025
    paper code bibtex
  23. 2024
  24. A 40-Year Remote Sensing Analysis of Spatiotemporal Temperature and Rainfall Patterns in Senegal
    Catherine L. Nakalembe, Doris B. Frimpong, Hannah Kerner, Mouhamadou A. Sarr
    Frontiers in Climate 2024
    paper bibtex
  25. An All-MLP Sequence Modeling Architecture That Excels at Copying
    Chuangchuang Cui, Zihan Yan, Gedeon Muhawenayo, Hannah Kerner
    ICML Next Generation Sequence Modeling Workshop 2024
    paper bibtex
  26. The Promise and Pitfalls of Machine Learning in Ocean Remote Sensing
    Peter C. Gray, Emmanuel Boss, J. Xavier Prochaska, Hannah Kerner, Charley B. Demeaux, Yoav Lehahn
    Oceanography 2024
    paper bibtex
  27. Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images
    Aayush Dhakal, Akram Ahmad, Subash Khanal, Sravan Sastry, Hannah Kerner, Nathan Jacobs
    CVPR EarthVision Workshop 2024 · Best Paper Award
    paper bibtex
  28. How Accurate Are Existing Land Cover Maps for Agriculture in Sub-Saharan Africa?
    Hannah Kerner, Catherine Nakalembe, Anna Yang, Ivan Zvonkov, Ryland McWeeny, Gabriel Tseng, Inbal Becker-Reshef
    Nature Scientific Data 2024
    paper bibtex
  29. Satellite Data Shows Resilience of Tigrayan Farmers in Crop Cultivation During Civil War
    Hannah Kerner, Catherine Nakalembe, Benjamin Yeh, Ivan Zvonkov, Sergii Skakun, Inbal Becker-Reshef, Amy McNally
    Science of Remote Sensing 2024
    paper bibtex
  30. Assessing and Addressing the Global State of Food Production Data Scarcity
    Emebet A. Kebede, Hala Abou Ali, Tyler Clavelle, Halley E. Froehlich, Jessica A. Gephart, Steffanie Hartman, Mario Herrero, Hannah Kerner, Priya Mehta, Catherine Nakalembe, Deepak K. Ray, Stefan Siebert, Philip Thornton, Kyle F. Davis
    Nature Reviews Earth & Environment 2024
    paper bibtex
  31. Application-Driven Innovation in Machine Learning
    David Rolnick, Alan Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White
    ICML 2024
    paper bibtex
  32. Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
    Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
    ICML 2024 · Spotlight (3.5%)
    paper bibtex
  33. 2023
  34. Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labels
    Hannah Kerner, Shreyas Sundar, Muskaan Satish
    AAAI Workshop 2023
    paper bibtex
  35. Automated Multi-class Crater Segmentation in Mars Orbital Images
    Shreyansh Malvi, Heshani Shah, Niyati Chandarana, Muskaan Purohit, Jacob Adler, Hannah Kerner
    ACM SIGSPATIAL GeoAI Workshop 2023
    paper bibtex
  36. Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
    Gabriel Tseng, Ivan Zvonkov, Muskaan Purohit, David Rolnick, Hannah Kerner
    arXiv 2023
    paper bibtex
  37. Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
    Gabriel Tseng, Ivan Zvonkov, Muskaan Purohit, David Rolnick, Hannah Kerner
    NeurIPS Climate Change AI Workshop 2023
    paper bibtex
  38. Considerations for AI-EO for Agriculture in Sub-Saharan Africa
    Catherine Nakalembe, Hannah Kerner
    Environmental Research Letters 2023
    paper bibtex
  39. Automatic Characterization of Boulders on Planetary Surfaces from High-Resolution Satellite Images
    Naomi C. Prieur, Beatriz Amaro, Esteban Gonzalez, Hannah Kerner, Sergei Medvedev, Lior Rubanenko, Stephanie Werner, Zhiyong Xiao, Dmitry Zastrozhnov, Mathieu G. Lapôtre
    JGR: Planets 2023
    paper bibtex
  40. ConeQuest: A Benchmark for Cone Detection on Mars
    Muskaan Purohit, Jacob Adler, Hannah Kerner
    WACV 2023 · Oral (2.5%)
    paper bibtex
  41. OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data
    Ivan Zvonkov, Gabriel Tseng, Catherine Nakalembe, Hannah Kerner
    AAAI 2023
    paper bibtex
  42. GEO-Bench: Toward Foundation Models for Earth Monitoring
    Alexandre Lacoste, Nils Lehmann, Pau Rodriguez, Evan D. Sherwin, Hannah Kerner, Bjorn Lütjens, Jeremy A. Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Hamdi Gunturkun, Gabriel Huang, David Vazquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu
    NeurIPS Datasets & Benchmarks 2023
    paper bibtex
  43. 2022
  44. TIML: Task-Informed Meta-Learning for Crop Type Mapping
    Gabriel Tseng, Hannah Kerner, David Rolnick
    AAAI AI for Agriculture and Food Systems Workshop 2022
    bibtex
  45. Applications and Considerations for AI-EO for Agriculture in Sub-Saharan Africa
    Catherine L. Nakalembe, Hannah R. Kerner
    AAAI Social Impact of AI for Africa Workshop 2022
    bibtex
  46. Geo-Referencing Crop Labels from Street-Level Images Using Structure from Motion
    Srinivasan Manimurugan, Rajesh Singaram, Catherine Nakalembe, Hannah Kerner
    International Astronautical Congress (IAC) 2022
    paper bibtex
  47. Generating Landslide Density Heatmaps for Rapid Detection Using Open-Access Satellite Radar Data in Google Earth Engine
    Alexander L. Handwerger, Mong-Han Huang, Stephanie Y. Jones, Pukar Amatya, Hannah R. Kerner, Dalia B. Kirschbaum
    Natural Hazards and Earth System Sciences 2022
    paper bibtex
  48. High-Resolution Regional Digital Elevation Models and Derived Products from MESSENGER MDIS Images
    Matthew R. Manheim, Mark R. Henriksen, Mark S. Robinson, Hannah R. Kerner, Brett A. Karas, Kris J. Becker, Matthew Chojnacki, Sarah S. Sutton, David T. Blewett
    Remote Sensing 2022
    paper bibtex
  49. Spectral Diversity of Rocks and Soils in Mastcam Observations Along the Curiosity Rover's Traverse in Gale Crater, Mars
    Melissa S. Rice, Christiana Seeger, James Bell, Fred Calef, Marie St Clair, Amanda Eng, Abigail A. Fraeman, Candice Hughes, Briony Horgan, Samantha Jacob, Jeffrey Johnson, Hannah Kerner, Kjartan Kinch, Mark Lemmon, Chase Million, Michelle Starr, Danika Wellington
    JGR: Planets 2022
    paper bibtex
  50. Guiding Field Exploration on Earth and Mars with Outlier Detection
    Hannah R. Kerner, Jacob B. Adler
    IGARSS 2022
    paper bibtex
  51. Domain-Agnostic Outlier Ranking Algorithms — A Configurable Pipeline for Facilitating Outlier Detection in Scientific Datasets
    Hannah R. Kerner, Umaa Rebbapragada, Kiri L. Wagstaff, Steven Lu, Bogdan Dubayah, Emily Huff, Vineeth Raman, Shravya Kulshrestha
    Frontiers in Astronomy and Space Sciences 2022
    paper bibtex
  52. Phenological Normalization Can Improve In-Season Classification of Maize and Soybean: A Case Study in the Central US Corn Belt
    Hannah R. Kerner, Ritvik Sahajpal, Divyani B. Pai, Sergii Skakun, Eduardo Puricelli, Mehdi Hosseini, Seth Meyer, Inbal Becker-Reshef
    Science of Remote Sensing 2022
    paper bibtex
  53. 2021
  54. Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis
    Paige Horton, Hannah Kerner, Samantha Jacobs, Emily Cisneros, Kiri L. Wagstaff, James F. Bell III
    IEEE Aerospace Conference 2021
    paper bibtex
  55. Learning to Predict Crop Type from Heterogeneous Sparse Labels Using Meta-Learning
    Gabriel Tseng, Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef
    CVPR EarthVision Workshop 2021
    paper bibtex
  56. Street2Sat: A Machine Learning Pipeline for Generating Ground-truth Geo-referenced Labeled Datasets from Street-Level Images
    Mahesh Paliyam, Catherine Nakalembe, Hannah Kerner
    ICML Tackling Climate Change with AI Workshop 2021
    paper bibtex
  57. Using Transfer Learning to Study Burned Area Dynamics: A Case Study of Refugee Settlements in West Nile, Northern Uganda
    Remy Huppertz, Catherine Nakalembe, Hannah Kerner
    KDD Humanitarian Mapping Workshop 2021 · Oral
    paper bibtex
  58. Strategies for Landslide Detection Using Open-Access Synthetic Aperture Radar Backscatter Change in Google Earth Engine
    Alexander L. Handwerger, Stephanie Y. Jones, Pukar Amatya, Hannah R. Kerner, Dalia B. Kirschbaum, Mong-Han Huang
    NHESS Discussions 2021
    paper bibtex
  59. Mapping the Location and Extent of 2019 Prevent Planting Acres in South Dakota Using Remote Sensing Techniques
    Abdul Lawal, Hannah Kerner, Inbal Becker-Reshef, Seth Meyer
    Remote Sensing 2021
    paper bibtex
  60. Temporally Generalizable Land Cover Classification: A Recurrent Convolutional Neural Network Unveils Major Coastal Change Through Time
    Peter C. Gray, Diego F. Chamorro, Jason T. Ridge, Hannah R. Kerner, Emily A. Ury, David W. Johnston
    Remote Sensing 2021
    paper bibtex
  61. Persistent Impact of Spring Floods on Crop Loss in U.S. Midwest
    Manoochehr Shirzaei, Mostafa Khoshmanesh, Chandrakanta Ojha, Susanna Werth, Hannah Kerner, Grace Carlson, Suyog Fwa Sherpa, Guang Zhai, Jiyoung Lee
    Weather and Climate Extremes 2021
    paper bibtex
  62. Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark
    Alexandre Lacoste, Evan Sherwin, Hannah Kerner, Hamed Alemohammad, Bjorn Lutjens, Jeremy Irvin, David Dao, Andrew Chang, Mehmet Hamdi Gunturkun, Alexandre Drouin, Pau Rodriguez, David Vazquez
    NeurIPS Tackling Climate Change with AI Workshop 2021
    paper bibtex
  63. CropHarvest: A Global Satellite Dataset for Crop Type Classification
    Gabriel Tseng, Ivan Zvonkov, Catherine Nakalembe, Hannah Kerner
    NeurIPS Datasets & Benchmarks 2021
    paper bibtex
  64. 2020
  65. Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade
    Abigail R. Azari, John B. Biersteker, Ryan M. Dewey, Gary Doran, Eric Forsberg, Christian D.K. Harris, Hannah R. Kerner, Katherine A. Skinner, Ariel W. Smith
    NRC Decadal Survey White Paper 2020
    paper bibtex
  66. Novelty-Driven Onboard Targeting for Mars Rovers
    Kiri L. Wagstaff, Raymond Francis, Hannah Kerner, Steven Lu, Francis Nerrise
    i-SAIRAS 2020
    paper bibtex
  67. Annual and In-Season Mapping of Cropland at Field Scale with Sparse Labels
    Gabriel Tseng, Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef
    NeurIPS Tackling Climate Change with AI Workshop 2020
    paper bibtex
  68. Field-Level Crop Type Classification with k-Nearest Neighbors: A Baseline for a New Kenya Smallholder Dataset
    Hannah R. Kerner, Catherine Nakalembe, Inbal Becker-Reshef
    ICLR Workshop 2020
    paper bibtex
  69. Rapid Response Crop Maps in Data Sparse Regions
    Hannah R. Kerner, Gabriel Tseng, Inbal Becker-Reshef, Brian Barker, Blake Munshell, Mahesh Paliyam, Mehdi Hosseini
    KDD Workshop 2020
    paper bibtex
  70. Resilient In-Season Crop Type Classification in Multispectral Satellite Observations Using Growth Stage Normalization
    Hannah R. Kerner, Ritvik Sahajpal, Sergii Skakun, Inbal Becker-Reshef, Brian Barker, Mehdi Hosseini
    KDD Workshop 2020
    paper bibtex
  71. Evaluating the Impact of the 2020 Iowa Derecho on Corn and Soybean Fields Using Synthetic Aperture Radar
    Mehdi Hosseini, Hannah Kerner, Ritvik Sahajpal, Eduardo Puricelli, Yuan-Hsin Lu, Abdul Lawal, Michael L. Humber, Matthew Mitkish, Seth Meyer, Inbal Becker-Reshef
    Remote Sensing 2020
    paper bibtex
  72. Analysis of Active Neutron Measurements from the Mars Science Laboratory Dynamic Albedo of Neutrons Instrument
    Hannah R. Kerner, Craig Hardgrove, Sean Czarnecki, Travis S.J. Gabriel, Igor Mitrofanov, Maxim Litvak, Anton Sanin, Dmitry Lisov
    JGR: Planets 2020
    paper bibtex
  73. Comparison of Novelty Detection Methods for Multispectral Images in Rover-Based Planetary Exploration Missions
    Hannah R. Kerner, Kiri L. Wagstaff, Brian D. Bue, Danika F. Wellington, Samantha Jacob, Paige Horton, James F. Bell, Chiman Kwan, Heni Ben Amor
    Data Mining and Knowledge Discovery 2020
    paper bibtex
  74. 2019
  75. Deep Learning Methods Toward Generalized Change Detection on Planetary Surfaces
    Hannah R. Kerner, Kiri L. Wagstaff, Brian D. Bue, Peter Gray, James F. Bell III, Heni Ben Amor
    JSTARS 2019
    paper bibtex
  76. Novelty Detection for Multispectral Images with Application to Planetary Exploration
    Hannah R. Kerner, Danika F. Wellington, Kiri L. Wagstaff, James F. Bell III, Chiman Kwan, Heni Ben Amor
    AAAI 2019 · Oral
    paper bibtex
  77. 2018
  78. Context-Dependent Image Quality Assessment of JPEG-Compressed Mars Science Laboratory Mastcam Images Using Convolutional Neural Networks
    Hannah R. Kerner, Heni Ben Amor, James F. Bell III
    Computers and Geosciences 2018
    paper bibtex
  79. 2017
  80. Demosaicing Enhancement Using Pixel-Level Fusion
    Chiman Kwan, Bence Chou, Liyun Kwan, Jude Larkin, Bulent Ayhan, James F. Bell III, Hannah R. Kerner
    Signal, Image and Video Processing 2017
    paper bibtex