Context-dependent image quality assessment of JPEG compressed Mars Science Laboratory Mastcam images using convolutional neural networks. - Hannah Kerner; James F. Bell III; Heni Ben Amor (Comput. Geosci., 2018)

Demosaicing enhancement using pixel-level fusion. - Chiman Kwan; Bryan Chou; Li-Yun Martin Kwan; Jude Larkin; Bulent Ayhan; James F. Bell III; Hannah Kerner (Signal Image Video Process., 2018)

Novelty Detection for Multispectral Images with Application to Planetary Exploration. - Hannah Rae Kerner; Danika F. Wellington; Kiri L. Wagstaff; James F. Bell; Chiman Kwan; Heni Ben Amor (AAAI, 2019)

Toward Generalized Change Detection on Planetary Surfaces With Convolutional Autoencoders and Transfer Learning. - Hannah Rae Kerner; Kiri L. Wagstaff; Brian D. Bue; Patrick C. Gray; James F. Bell III; Heni Ben Amor (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Machine Learning on Mars: A New Lens on Data from Planetary Exploration Missions. - Hannah Rae Kerner (2019)

Field-Level Crop Type Classification with k Nearest Neighbors: A Baseline for a New Kenya Smallholder Dataset. - Hannah Kerner; Catherine Nakalembe; Inbal Becker-Reshef (CoRR, 2020)

Rapid Response Crop Maps in Data Sparse Regions. - Hannah Kerner; Gabriel Tseng; Inbal Becker-Reshef; Catherine Nakalembe; Brian Barker; Blake Munshell; Madhava Paliyam; Mehdi Hosseini (CoRR, 2020)

Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization. - Hannah Kerner; Ritvik Sahajpal; Sergii Skakun; Inbal Becker-Reshef; Brian Barker; Mehdi Hosseini; Estefania Puricelli; Patrick C. Gray (CoRR, 2020)

Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions. - Hannah Rae Kerner; Kiri L. Wagstaff; Brian D. Bue; Danika F. Wellington; Samantha Jacob; Paul Horton; James F. Bell; Chiman Kwan; Heni Ben Amor (Data Min. Knowl. Discov., 2020)

Evaluating the Impact of the 2020 Iowa Derecho on Corn and Soybean Fields Using Synthetic Aperture Radar. - Mehdi Hosseini; Hannah Rae Kerner; Ritvik Sahajpal; Estefania Puricelli; Yu-Hsiang Lu; Afolarin Fahd Lawal; Michael L. Humber; Mary Mitkish; Seth Meyer; Inbal Becker-Reshef (Remote. Sens., 2020)

Learning To Predict Crop Type From Heterogeneous Sparse Labels Using Meta-Learning. - Gabriel Tseng; Hannah Kerner; Catherine Nakalembe; Inbal Becker-Reshef (CVPR Workshops, 2021)

COIVD-19 Impact Monitoring for Agriculutre. - Benjamin Koetz; Bradley Doorn; Shin-ichi Sobue; Inbal Becker-Reshef; Pierre Defourny; Sophie Bontemps; Philippe Malcorps; Pierre Houdmont; Brian Barker; Christina Justice; Hannah Kerner; Gabriel Tseng; et al. (IGARSS, 2021)

CropHarvest: A global dataset for crop-type classification. - Gabriel Tseng; Ivan Zvonkov; Catherine Nakalembe; Hannah Kerner (NeurIPS Datasets and Benchmarks, 2021)

Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis. - Paul Horton; Hannah Rae Kerner; Samantha Jacob; Ernest Cisneros; Kiri L. Wagstaff; James F. Bell (CoRR, 2021)

Using transfer learning to study burned area dynamics: A case study of refugee settlements in West Nile, Northern Uganda. - Robert Huppertz; Catherine Nakalembe; Hannah Kerner; Ramani Lachyan; Maxime Rischard (CoRR, 2021)

Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark. - Alexandre Lacoste; Evan David Sherwin; Hannah Kerner; Hamed Alemohammad; Björn Lütjens; Jeremy Irvin; David Dao; Alex Chang; Mehmet Gunturkun; Alexandre Drouin; Pau Rodríguez; David Vázquez 001 (CoRR, 2021)

Temporally Generalizable Land Cover Classification: A Recurrent Convolutional Neural Network Unveils Major Coastal Change through Time. - Patrick C. Gray; Diego F. Chamorro; Justin T. Ridge; Hannah Rae Kerner; Emily A. Ury; David W. Johnston 001 (Remote. Sens., 2021)

Mapping the Location and Extent of 2019 Prevent Planting Acres in South Dakota Using Remote Sensing Techniques. - Afolarin Fahd Lawal; Hannah Kerner; Inbal Becker-Reshef; Seth Meyer (Remote. Sens., 2021)

Guiding Field Exploration on Earth and Mars with Outlier Detection. - Hannah Rae Kerner; Jacob B. Adler (IGARSS, 2022)

TIML: Task-Informed Meta-Learning for Agriculture. - Gabriel Tseng; Hannah Kerner; David Rolnick (CoRR, 2022)

High-Resolution Regional Digital Elevation Models and Derived Products from MESSENGER MDIS Images. - Madeleine R. Manheim; Megan R. Henriksen; Mark S. Robinson; Hannah Rae Kerner; Bradley A. Karas; Kris J. Becker; Matthew Chojnacki; Sarah S. Sutton; David T. Blewett (Remote. Sens., 2022)

OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data. - Ivan Zvonkov; Gabriel Tseng; Catherine Nakalembe; Hannah Kerner (AAAI, 2023)

Automated Multi-class Crater Segmentation in Mars Orbital Images. - Shrey Malvi; Hitansh Shah; Niketan Chandarana; Mirali Purohit; Jacob B. Adler; Hannah Kerner (GeoAI@SIGSPATIAL, 2023)

GEO-Bench: Toward Foundation Models for Earth Monitoring. - Alexandre Lacoste; Nils Lehmann; Pau Rodríguez; Evan D. Sherwin; Hannah Kerner; Björn Lütjens; Jeremy Irvin; David Dao; Hamed Alemohammad; Alexandre Drouin; Mehmet Gunturkun; Gabriel Huang; et al. (NeurIPS, 2023)

Lightweight, Pre-trained Transformers for Remote Sensing Timeseries. - Gabriel Tseng; Ivan Zvonkov; Mirali Purohit; David Rolnick; Hannah Kerner (CoRR, 2023)

How accurate are existing land cover maps for agriculture in Sub-Saharan Africa? - Hannah Kerner; Catherine Nakalembe; Adam Yang 003; Ivan Zvonkov; Ryan McWeeny; Gabriel Tseng; Inbal Becker-Reshef (CoRR, 2023)

Reflections from the Workshop on AI-Assisted Decision Making for Conservation. - Lily Xu; Esther Rolf; Sara Beery; Joseph R. Bennett; Tanya Y. Berger-Wolf; Tanya Birch; Elizabeth Bondi-Kelly; Justin Brashares; Melissa S. Chapman; Anthony Corso 001; Andrew Davies; Nikhil Garg; et al. (CoRR, 2023)

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 (CoRR, 2023)

Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images. - Aayush Dhakal; Adeel Ahmad; Subash Khanal; Srikumar Sastry; Hannah Kerner; Nathan Jacobs (CVPR Workshops, 2024)

Position: Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. - Esther Rolf; Konstantin Klemmer; Caleb Robinson; Hannah Kerner (ICML, 2024)

Position: Application-Driven Innovation in Machine Learning. - David Rolnick; Alán Aspuru-Guzik; Sara Beery; Bistra Dilkina; Priya L. Donti; Marzyeh Ghassemi; Hannah Kerner; Claire Monteleoni; Esther Rolf; Milind Tambe; Adam White (ICML, 2024)

ConeQuest: A Benchmark for Cone Segmentation on Mars. - Mirali Purohit; Jacob B. Adler; Hannah Kerner (WACV, 2024)

Automatic characterization of boulders on planetary surfaces from high-resolution satellite images. - Nils C. Prieur; Brian Amaro; Emiliano Gonzalez; Hannah Kerner; Sergei Medvedev; Lior Rubanenko; Stephanie C. Werner; Zhiyong Xiao; Dmitry Zastrozhnov; Mathieu G. A. Lapôtre (CoRR, 2024)

Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. - Esther Rolf; Konstantin Klemmer; Caleb Robinson; Hannah Kerner (CoRR, 2024)

Application-Driven Innovation in Machine Learning. - David Rolnick; Alán Aspuru-Guzik; Sara Beery; Bistra Dilkina; Priya L. Donti; Marzyeh Ghassemi; Hannah Kerner; Claire Monteleoni; Esther Rolf; Milind Tambe; Adam White (CoRR, 2024)

Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labels. - Hannah Kerner; Saketh Sundar; Mathan Satish (CoRR, 2024)

An All-MLP Sequence Modeling Architecture That Excels at Copying. - Chenwei Cui 001; Zehao Yan; Gedeon Muhawenayo; Hannah Kerner (CoRR, 2024)

Causal machine learning for sustainable agroecosystems. - Vasileios Sitokonstantinou; Emiliano Díaz Salas Porras; Jordi Cerdà-Bautista; Maria Piles; Ioannis Athanasiadis; Hannah Kerner; Giulia Martini; Lily-belle Sweet; Ilias Tsoumas; Jakob Zscheischler; Gustau Camps-Valls (CoRR, 2024)

Making Bias Amplification in Balanced Datasets Directional and Interpretable. - Bhanu Tokas; Rahul Nair; Hannah Kerner (CoRR, 2024)

Data Augmentation Approaches for Satellite Imagery. - Laurel M. Hopkins; Weng-Keen Wong; Hannah Kerner; Fuxin Li; Rebecca A. Hutchinson (AAAI, 2025)

Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation. - Hannah Kerner; Snehal Chaudhari; Aninda Ghosh; Caleb Robinson; Adeel Ahmad; Eddie Choi; Nathan Jacobs; Chris Holmes; Matthias Mohr; Rahul Dodhia; Juan M. Lavista Ferres; Jennifer Marcus (AAAI, 2025)

Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite Images. - Aditya Mohan; Andie Gomez-Patron; Matthew Pritchard; Hannah Kerner (AAAI, 2025)

Classification Drives Geographic Bias in Street Scene Segmentation. - Rahul Nair; Bhanu Tokas; Gabriel Tseng; Esther Rolf; Hannah Kerner (CVPR Workshops, 2025)

Task-Informed Meta-Learning for Remote Sensing. - Gabriel Tseng; Hannah Kerner; David Rolnick (CVPR Workshops, 2025)

How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models? - Mirali Purohit; Gedeon Muhawenayo; Esther Rolf; Hannah Kerner (CoRR, 2025)

Galileo: Learning Global and Local Features in Pretrained Remote Sensing Models. - Gabriel Tseng; Anthony Fuller; Marlena Reil; Henry Herzog; Patrick Beukema; Favyen Bastani; James R. Green; Evan Shelhamer; Hannah Kerner; David Rolnick (CoRR, 2025)

Measuring directional bias amplification in image captions using predictability. - Rahul Nair; Bhanu Tokas; Neel Shah; Hannah Kerner (CoRR, 2025)

DataS^3: Dataset Subset Selection for Specialization. - Neha Hulkund; Alaa Maalouf; Levi Cai; Daniel Yang; Tsun-Hsuan Wang; Abigail O'Neil; Timm Haucke; Sandeep Mukherjee; Vikram Ramaswamy; Judy Hansen Shen; Gabriel Tseng; Mike Walmsley; et al. (CoRR, 2025)

Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal. - Christina Butsko; Kristof Van Tricht; Gabriel Tseng; Giorgia Milli; David Rolnick; Ruben Cartuyvels; Inbal Becker-Reshef; Zoltan Szantoi; Hannah Kerner (CoRR, 2025)