Publications

Most recent first. Also on Google Scholar for citations.

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  1. 2027
  2. Rooted in embeddings: Evaluating geospatial foundation model representations for forest canopy height estimation
    Doerksen, K., Kerner, H., Ferraz, A., Lu, S., Tseng, G., Berndt, S.
    WACV 2027 Workshops
    bibtex
  3. Deer AI: Supporting Invasive Axis Deer Mitigation with Automated Detection from Aerial Videos in Maui County, Hawaii
    Hess-Dunlop, A., Zvonkov, I., Tárano, A. M., Latimer, M., Loque, C., Wirth, M., DeSilva, L., Chan Hodges, S., Whitcraft, A., Beery, S., Kerner, H.
    IAAI 2027 · Oral presentation
    bibtex
  4. Beyond the Generative Trilemma: Bias Amplification in Diffusion-GAN Hybrids
    Perasso, B., Ciranni, M., Tokas, B., Nair, R., Kerner, H., Pastore, V. P.
    WACV 2027
    bibtex
  5. Fields of the Planet: Field Boundary Mapping Beyond 10m
    Corley, I., Robinson, C., Marcus, J., and Kerner, H.
    WACV 2027
    paper bibtex
  6. 2026
  7. MIND the Gap: A Geographic Implicit Neural Representation with Adjustable Spatial Scale
    Corley, I., Rao, A., Rolf, E., Klemmer, K., Shelhamer, E., Lehmann, N., Russwurm, M., Mai, G., Jacobs, N., Kerner, H.
    arXiv preprint
    paper bibtex
  8. Hide and Seek: HIDE Concepts to SEEK explanations for black box models
    Tokas, B., Nair, R., Jackson, R., Kerner, H.
    arXiv preprint
    paper bibtex
  9. EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation
    Doerksen, K. and Kerner, H.
    arXiv preprint
    paper site bibtex
  10. No One Knows the State of the Art in Geospatial Foundation Models
    Corley, I. and Lehmann, N. and Robinson, C. and Tseng, G. and Fuller, A. and Alemohammad, H. and Shelhamer, E. and Marcus, J. and Kerner, H.
    NeurIPS 2026 Position Paper Track
    paper bibtex
  11. A Large-scale Evaluation of Text-guided Models for Facial Editing
    Nair, R., Kumar, S., Kerner, H.
    ACM Multimedia 2026 · Oral presentation
    paper bibtex
  12. Pretrain Where? Investigating How Pretraining Data Diversity Impacts Geospatial Foundation Model Performance
    Kaur, A., Purohit, M., Muhawenayo, G., Rolf, E., Kerner, H.
    CVPR 2026 Workshops (EarthVision)
    paper bibtex
  13. Multi-Head LatentMoE and Head Parallel: Communication-Efficient and Deterministic MoE Parallelism
    Cui, C., Jackson, R., Herrera, B., Tárano, A. M., Kerner, H.
    ICML 2026
    paper bibtex
  14. PRUE: A Practical Recipe for Field Boundary Segmentation at Scale
    Muhawenayo, G., Robinson, C., Khanal, S., Fang, Z., Corley, I., Wollam, A., Gao, T., Strnad, L., Avery, R., Estes, L., Tárano, A. M., Jacobs, N., and Kerner, H.
    CVPR 2026
    paper bibtex
  15. MOMO: Mars Orbital MOdel Foundation Model for Mars Orbital Applications
    Purohit, M., Gajera, B., Mehta, I., Tokas, B., Adler, J., Lu, S., Dickenshied, S., Diniega, S., Bue, B., Rebbapragada, U., and Kerner, H.
    CVPR 2026
    paper bibtex
  16. OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation
    Herzog, H., Bastani, F., Zhang, Y., Tseng, G., Redmon, J., Sablon, H., Park, R., Morrison, J., Buraczynski, A., Farley, K., Hansen, J., Howe, A., Johnson, P. A., Otterlee, M., Schmitt, T., Pitelka, H., Daspit, S., Ratner, R., Wilhelm, C., Wood, S., Jacobi, M., Kerner, H., Shelhamer, E., Farhadi, A., Krishna, R., and Beukema, P.
    CVPR 2026
    paper bibtex
  17. A Woman with a Knife or A Knife with a Woman? Measuring Directional Bias Amplification in Image Captions
    Nair, R., Tokas, B., and Kerner, H.
    WACV 2026
    paper bibtex
  18. Earth Embeddings: Towards AI-centric Representations of our Planet
    Klemmer, K., Rolf, E., Russwurm, M., Camps-Valls, G., Czerkawski, M., Ermon, S., Francis, A., Jacobs, N., Kerner, H. R., Mackey, L., Mai, G., Mac Aodha, O., Reichstein, M., Robinson, C., Rolnick, D., Shelhamer, E., Sitzmann, V., Tuia, D., Zhu, X.
    IEEE Geoscience and Remote Sensing Magazine 2026
    paper bibtex
  19. Optimizing Satellite-Based Cropland Area Estimation Through Integrated Map Accuracy Assessment and Stratified Sampling Design Across Six African Countries
    Adebayo, A., Nakalembe, C., Skakun, S., Botchway, D., Ginsburg, A., Gadhiya, Y. G., Adjei, M., Kerner, H., Becker-Reshef, I.
    International Journal of Applied Earth Observation and Geoinformation 2026
    paper bibtex
  20. torchgeo-bench: An Evaluation Harness for Geospatial Foundation Models
    Corley, I., Lehmann, N., Robinson, C., Kerner, H.
    NeurIPS 2026 Workshops · Oral presentation
    bibtex
  21. The Impact of Systematic Razing of Agricultural Communities around El-Fasher: A Remote Sensing Study
    Chausse, R., Andersen, D., Howarth, C. N., Mooney, O., Poole, D. N., Raymond, N. A., Kerner, H., Tárano, A. M., Becker-Reshef, I.
    Humanitarian Research Lab at Yale School of Public Health 2026
    paper bibtex
  22. 2025
  23. Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks
    Purohit, M., Gajera, B., Malaviya, V., Mehta, I., Kasodekar, K., Adler, J., Lu, S., Rebbapragada, U., and Kerner, H.
    NeurIPS 2025 Datasets & Benchmarks
    paper code bibtex
  24. DPA: A one-stop metric to measure bias amplification in classification datasets
    Tokas, B., Nair, R., Kerner, H.
    NeurIPS 2025
    paper site bibtex
  25. Deploying geospatial foundation models in the real world
    Butsko, C., Tseng, G., Van Tricht, K., Milli, G., Rolnick, D., Cartuyvels, R., Becker Reshef, I., Szantoi, Z., Kerner, H.
    ICML 2025 TerraBytes Workshop (PMLR)
    paper bibtex
  26. Galileo: Learning Global and Local Features in Pretrained Remote Sensing Models
    Tseng, G., Fuller, A., Reil, M., Herzog, H., Beukema, P., Bastani, F., Green, J. R., Shelhamer, E., Kerner, H., and Rolnick, D.
    ICML 2025
    paper code bibtex
  27. Classification Drives Geographic Bias in Street Scene Segmentation
    Nair, R., Tseng, G., Rolf, E., Tokas, B., and Kerner, H.
    CVPR 2025 Workshops
    paper bibtex
  28. Task-Informed Meta-Learning for Remote Sensing
    Tseng, G., Kerner, H., and Rolnick, D.
    CVPR 2025 Workshops (EarthVision)
    paper bibtex
  29. Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite Images
    Mohan, A., Gomez-Patron, A., Pritchard, M., Kerner, H.
    AAAI 2025
    paper bibtex
  30. Data Augmentation Approaches for Satellite Imagery
    Hopkins, L., Wong, W-K., Kerner, H., Li, F., Hutchinson, R.
    AAAI 2025
    paper bibtex
  31. Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
    Kerner, H., Chaudhari, S., Ghosh, A., Robinson, C., Ahmad, A., Choi, E., Jacobs, N., Holmes, C., Mohr, M., Dodhia, R., Lavista Ferres, J. M., Marcus, J.
    AAAI 2025
    paper code site bibtex
  32. GEO-Bench-2: From Performance to Capability, Rethinking Evaluation in Geospatial AI
    Simumba, N., Lehmann, N., Fraccaro, P., Alemohammad, H., De Mel, G., Khan, S., Maskey, M., Longepe, N., Zhu, X. X., Kerner, H., Bernabe-Moreno, J., and Lacoste, A.
    Transactions on Machine Learning Research 2025
    paper bibtex
  33. Remote sensing for crop mapping: A perspective on current and future crop-specific land cover data products
    Zhang, C., Kerner, H., Wang, S., Hao, P., Li, Z., Hunt, K.A., Abernethy, J., Zhao, H., Gao, F., Di, L. and Guo, C.
    Remote Sensing of Environment 2025
    paper bibtex
  34. Helmets Labeling Crops: Kenya Crop Type Dataset Created via Helmet-Mounted Cameras and Deep Learning
    Nakalembe, C., Zvonkov, I., Kerner, H., Frimpong, D. B., Mwangi, K., Kioko, J., Tokas, B., Jawanjal, K., Smith, I. A., Paliyam, A., Wakhanala, C. A., Tárano, A. M., Jha, S., and Loh, P. M.
    Scientific Data 2025
    paper bibtex
  35. A Framework for EO-Based National Agricultural Monitoring (EO-NAM)- For the African Context
    Nakalembe, C., Kerner, H., Zvonkov, I., Humber, M., Galvez, A., Makabe, E., Venturini, S., Becker-Reshef, I.
    npj Sustainable Agriculture 2025
    paper bibtex
  36. Accelerating research on SDG2 ’Zero Hunger’ by opening commercial very-high resolution satellite image archives
    Rufin, P., et al. ( Kerner, H. one of 16 authors)
    Proceedings of the National Academy of Sciences 2025
    paper bibtex
  37. A 40-Year Remote Sensing Analysis of Spatiotemporal Temperature and Rainfall Patterns in Senegal
    Nakalembe, C. L., Frimpong, D. B., Kerner, H. R., Sarr, M. A.
    Frontiers in Climate 2025
    paper bibtex
  38. A novel deep learning algorithm for broad scale seagrass extent mapping in shallow coastal environments
    Peng, J., Li, J., Ingalls, T. C., Schill, S. R., Kerner, H. R., and Asner, G. P.
    ISPRS Journal of Photogrammetry and Remote Sensing 2025
    paper bibtex
  39. Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks
    Purohit, M., Gajera, B., Malaviya, V., Mehta, I., Kasodekar, K., Adler, J., Lu, S., Rebbapragada, U., and Kerner, H.
    NeurIPS 2025 Workshops (ML for the Physical Sciences) · Best Poster Award
    bibtex
  40. DataS3: Dataset Subset Selection for Specialization
    Hulkund, N., Maalouf, A., Cai, L., Yang, D., O’Neill, A., Haucke, T., Mukherjee, S., Ramaswamy, V. V., Shen, J. H., Tseng, G., Walmsley, M., Wang, T., Kerner, H., Chen, I. Y., Girdhar, Y., Rus, D., Goldberg, K., Beery, S.
    ICML 2025 Workshops (DataWorld)
    paper bibtex
  41. Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
    Tseng, G., Fuller, A., Reil, M., Herzog, H., Beukema, P., Bastani, F., Green, J. R., Shelhamer, E., Kerner, H., and Rolnick, D.
    ICML 2025 Workshops (TerraBytes)
    paper bibtex
  42. How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?
    Purohit, M., Muhawenayo, G., Rolf, E., and Kerner, H.
    AAAI 2025 Workshops
    paper bibtex
  43. 2024
  44. An All-MLP Sequence Modeling Architecture That Excels at Copying
    Cui, C., Yan, Z., Muhawenayo, G., and Kerner, H.
    ICML 2024 Workshops
    paper bibtex
  45. Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images
    Dhakal, A., Ahmad, A., Khanal, S., Sastry, S., Kerner, H., and Jacobs, N.
    CVPR 2024 Workshops (EarthVision) · Best Paper Award
    paper bibtex
  46. Position Paper: Application-Driven Innovation in Machine Learning
    Rolnick, D., Aspuru-Guzik, A., Beery, S., Dilkina, B., Donti, P. L., Ghassemi, M., Kerner, H., Monteleoni, C., Rolf, E., Tambe, M., White, A.
    ICML 2024
    paper bibtex
  47. Position Paper: Mission Critical–Satellite Data is a Distinct Modality in Machine Learning
    Rolf, E., Klemmer, K., Robinson, C., and Kerner, H.
    ICML 2024 · Spotlight (3.5% acceptance rate)
    paper bibtex
  48. ConeQuest: A Benchmark for Cone Detection on Mars
    Purohit, M., Adler, J., and Kerner, H.
    WACV 2024 · Oral presentation (2.5% acceptance rate)
    paper bibtex
  49. The Promise and Pitfalls of Machine Learning in Ocean Remote Sensing
    Gray, P. C., Boss, E., Prochaska, J. X., Kerner, H., Demeaux, C. B., and Lehahn, Y.
    Oceanography 2024
    paper bibtex
  50. Satellite Data Shows Resilience of Tigrayan Farmers in Crop Cultivation During Civil War
    Kerner, H., Nakalembe, C., Yeh, B., Zvonkov, I., Skakun, S., Becker-Reshef, I., and McNally, A.
    Science of Remote Sensing 2024
    paper bibtex
  51. How accurate are existing land cover maps for agriculture in Sub-Saharan Africa?
    Kerner, H., Nakalembe, C., Yang, A., Zvonkov, I., McWeeny, R., Tseng, G., and Becker-Reshef, I.
    Nature Scientific Data 2024
    paper bibtex
  52. Assessing and addressing the global state of food production data scarcity
    Kebede, E. A., Abou Ali, H., Clavelle, T., Froehlich, H. E., Gephart, J. A., Hartman, S., Herrero, M., Kerner, H., Mehta, P., Nakalembe, C., Ray, D. K., Siebert, S., Thornton, P., Davis, K. F.
    Nature Reviews Earth & Environment 2024
    paper bibtex
  53. 2023
  54. Automated Multi-class Crater Segmentation in Mars Orbital Images
    Malvi, S., Shah, H., Chandarana, N., Purohit, M., Adler, J., and Kerner, H.
    ACM SIGSPATIAL 2023
    paper bibtex
  55. GEO-Bench: Toward Foundation Models for Earth Monitoring
    Lacoste, A., Lehmann, N., Rodriguez, P., Sherwin, E. D., Kerner, H., Lütjens, B., Irvin, J. A., Dao, D., Alemohammad, H., Drouin, A., Gunturkun, M., Huang, G., Vazquez, D., Newman, D., Bengio, Y., Ermon, S., Zhu, X.
    NeurIPS 2023 Datasets & Benchmarks
    paper bibtex
  56. OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data
    Zvonkov, I., Tseng, G., Nakalembe, C., and Kerner, H.
    AAAI 2023
    paper bibtex
  57. Automatic Characterization of Boulders on Planetary Surfaces From High‐Resolution Satellite Images
    Prieur, N. C., Amaro, B., Gonzalez, E., Kerner, H., Medvedev, S., Rubanenko, L., Werner, S., Xiao, Z., Zastrozhnov, D., and Lapôtre, M. G.
    Journal of Geophysical Research: Planets 2023 · Top 10% Viewed Article in 2023
    paper bibtex
  58. Considerations for AI-EO for agriculture in Sub-Saharan Africa
    Nakalembe, C. and Kerner, H.
    Environmental Research Letters 2023
    paper bibtex
  59. Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
    Tseng, G., Zvonkov, I., Purohit, M., Rolnick, D., and Kerner, H.
    NeurIPS 2023 Workshops (Climate Change AI)
    paper bibtex
  60. Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labels
    Kerner, H., Sundar, S., and Satish, M.
    AAAI 2023 Workshops
    paper bibtex
  61. Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
    Tseng, G., Zvonkov, I., Purohit, M., Rolnick, D., and Kerner, H.
    arXiv 2023
    paper bibtex
  62. Reflections from the Workshop on AI-Assisted Decision Making for Conservation
    Xu, L., Rolf, E., Beery, S., Bennett, J. R., Berger-Wolf, T., Birch, T., Bondi-Kelly, E., Brashares, J., Chapman, M., Corso, A., Davies, A., Garg, N., Gaylard, A., Heilmayr, R., Kerner, H., Klemmer, K., Kumar, V., Mackey, L., Monteleoni, C., Moorcroft, P., Palmer, J., Perrault, A., Thau, D., Tambe, M.
    arXiv 2023
    paper bibtex
  63. 2022
  64. Geo-referencing crop labels from street-level images using Structure from Motion
    Manimurugan, S., Singaram, R., Nakalembe, C., and Kerner, H.
    IAC 2022
    bibtex
  65. Guiding Field Exploration on Earth and Mars with Outlier Detection
    Kerner, H. R. and Adler, J. B.
    IGARSS 2022
    paper bibtex
  66. High-Resolution Regional Digital Elevation Models and Derived Products from MESSENGER MDIS Images
    Manheim, M. R., Henriksen, M. R., Robinson, M. S., Kerner, H. R., Karas, B. A., Becker, K. J., Chojnacki, M., Sutton, S. S., Blewett, D. T.
    Remote Sensing 2022
    paper bibtex
  67. Spectral diversity of rocks and soils in Mastcam observations along the Curiosity rover’s traverse in Gale crater, Mars
    Rice, M.S., Seeger, C., Bell, J., Calef, F., St Clair, M., Eng, A., Fraeman, A.A., Hughes, C., Horgan, B., Jacob, S., Johnson, J., Kerner, H., Kinch, K., Lemmon, M., Million, C., Starr, M., and Wellington, D.
    Journal of Geophysical Research: Planets 2022
    paper bibtex
  68. Phenological normalization can improve in-season classification of maize and soybean: A case study in the central US Corn Belt
    Kerner, H. R., Sahajpal, R., Pai, D. B., Skakun, S., Puricelli, E., Hosseini, M., Meyer, S., and Becker-Reshef, I.
    Science of Remote Sensing 2022
    paper bibtex
  69. Domain-Agnostic Outlier Ranking Algorithms—A Configurable Pipeline for Facilitating Outlier Detection in Scientific Datasets
    Kerner, H. R., Rebbapragada, U., Wagstaff, K. L., Lu, S., Dubayah, B., Huff, E., Raman, V., and Kulshrestha, S.
    Frontiers in Astronomy and Space Sciences 2022
    paper bibtex
  70. Applications and Considerations for AI-EO for Agriculture in Sub-Saharan Africa
    Nakalembe, C. L. and Kerner, H. R.
    AAAI 2022 Workshops
    bibtex
  71. TIML: Task-Informed Meta-Learning for crop type mapping
    Tseng, G., Kerner, H., Rolnick, D.
    AAAI 2022 Workshops (AIAFS)
    bibtex
  72. The NASA Harvest Program on Agriculture and Food Security
    Becker-Reshef, I., Bandaru, V., Barker, B., Coutu, S., Deines, J. M., Doorn, B., Eilerts, G., Franch, B., Galvez, A. S., Hosseini, M., Humber, M., Husak, G., Guan, K., Justice, C., Keniston, J., Kerner, H., Mitkish, M., Mobley, K., Munshell, B., Nakalembe, C., Puricelli, E., Sahajpal, R., Skakun, S., Vermote, E., Whitcraft, A., Hansen, M., Salas, B., and Justice, C.
    Book chapter, Springer 2022
    paper bibtex
  73. Machine Learning for Planetary Science
    Aye, K. M., D’Amore, M., Helbert, J., Kerner, H. R.
    Book, Elsevier 2022
    paper bibtex
  74. Chapter 1 - Introduction to machine learning
    Kerner, H., Campbell, J., and Strickland, M.
    Book chapter, Machine Learning for Planetary Science 2022
    paper bibtex
  75. 2021
  76. CropHarvest: a global satellite dataset for crop type classification
    Tseng, G., Zvonkov, I., Nakalembe, C., Kerner, H.
    NeurIPS 2021 Datasets & Benchmarks
    paper bibtex
  77. Learning to predict crop type from heterogeneous sparse labels using meta-learning
    Tseng, G., Kerner, H., Nakalembe, C., and Becker-Reshef, I.
    CVPR 2021 Workshops (EarthVision)
    paper bibtex
  78. Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis
    Horton, P., Kerner, H., Jacobs, S., Cisneros, E., Wagstaff, K. L., and Bell III, J. F.
    IEEE Aerospace Conference 2021
    paper bibtex
  79. Strategies for landslide detection using open-access synthetic aperture radar backscatter change in Google Earth Engine
    Handwerger, A. L., Jones, S. Y., Amatya, P., Kerner, H. R., Kirschbaum, D. B., and Huang, M. H.
    Natural Hazards and Earth System Sciences Discussions 2021
    paper bibtex
  80. Persistent impact of spring floods on crop loss in U.S. Midwest
    Shirzaei, M., Khoshmanesh, M., Ojha, C., Werth, S., Kerner, H., Carlson, G., Sherpa, S. F., Zhai, G., and Lee, J.
    Weather and Climate Extremes 2021
    paper bibtex
  81. Temporally Generalizable Land Cover Classification: A Recurrent Convolutional Neural Network Unveils Major Coastal Change through Time
    Gray, P. C., Chamorro, D. F., Ridge, J. T., Kerner, H. R., Ury, E. A., and Johnston, D. W.
    Remote Sensing 2021
    paper bibtex
  82. Mapping the Location and Extent of 2019 Prevent Planting Acres in South Dakota Using Remote Sensing Techniques
    Lawal, A., Kerner, H., Becker-Reshef, I., Meyer, S.
    Remote Sensing 2021
    paper bibtex
  83. Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark
    Lacoste, A., Sherwin, E., Kerner, H., Alemohammad, H., Lutjens, B., Irvin, J., Dao, D., Chang, A., Gunturkun, M., Drouin, A., Rodriguez, P., Vazquez, D.
    NeurIPS 2021 Workshops (Tackling Climate Change with AI)
    paper bibtex
  84. Using transfer learning to study burned area dynamics: A case study of Refugee settlements in West Nile, Northern Uganda
    Huppertz, R., Nakalembe, C., Kerner, H.
    KDD 2021 Workshops (Humanitarian Mapping)
    paper bibtex
  85. Street2Sat: A Machine Learning Pipeline for Generating Ground-truth Geo-referenced Labeled Datasets from Street-Level Images
    Paliyam, M., Nakalembe, C., Kerner, H.
    ICML 2021 Workshops (Tackling Climate Change with AI)
    paper bibtex
  86. Sowing seeds of food security in Africa
    Nakalembe, C., Justice, C., Kerner, H., Justice, C., and Becker-Reshef, I.
    Eos 2021
    paper bibtex
  87. 2020
  88. Novelty-Driven Onboard Targeting for Mars Rovers
    Wagstaff, K. L., Francis, R., Kerner, H., Lu, S., Nerrise, F.
    i-SAIRAS 2020
    paper bibtex
  89. Evaluating the Impact of the 2020 Iowa Derecho on Corn and Soybean Fields Using Synthetic Aperture Radar
    Hosseini, M., Kerner, H., Sahajpal, R., Puricelli, E., Lu, Y-H., Lawal, A., Humber, M. L., Mitkish, M., Meyer, S., Becker-Reshef, I.
    Remote Sensing 2020
    paper bibtex
  90. Comparison of Novelty Detection Methods for Multispectral Images in Rover-Based Planetary Exploration Missions
    Kerner, H. R., Wagstaff, K. L., Bue, B. D., Wellington, D. F., Jacob, S., Horton, P., Bell, J. F., Kwan, C., Ben Amor, H.
    Data Mining and Knowledge Discovery 2020
    paper bibtex
  91. Analysis of Active Neutron Measurements from the Mars Science Laboratory Dynamic Albedo of Neutrons Instrument: Intrinsic Variability, Outliers, and Implications for Future Investigations
    Kerner, H. R., Hardgrove, C., Czarnecki, S., Gabriel, T. S. J., Mitrofanov, I., Litvak, M., Sanin, A., Lisov, D.
    Journal of Geophysical Research: Planets 2020
    paper bibtex
  92. Annual and in-season mapping of cropland at field scale with sparse labels
    Tseng, G., Kerner, H., Nakalembe, C., and Becker-Reshef, I.
    NeurIPS 2020 Workshops (Tackling Climate Change with AI)
    paper bibtex
  93. Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization
    Kerner, H. R., Sahajpal, R., Skakun, S., Becker-Reshef, I., Barker, B., Hosseini, M.
    KDD 2020 Workshops
    paper bibtex
  94. Rapid Response Crop Maps in Data Sparse Regions
    Kerner, H. R., Tseng, G., Becker-Reshef, I., Barker, B., Munshell, B., Paliyam, M., Hosseini, M.
    KDD 2020 Workshops · Oral presentation
    paper bibtex
  95. Field-Level Crop Type Classification with k-Nearest Neighbors: A Baseline for a New Kenya Smallholder Dataset
    Kerner, H. R., Nakalembe, C., Becker-Reshef, I.
    ICLR 2020 Workshops
    paper bibtex
  96. Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade
    Azari, A. R., Biersteker, J. B., Dewey, R. M., Doran, G., Forsberg, E., Harris, C. D. K., Kerner, H. R., Skinner, K. A., Smith, A. W.
    Planetary Science Decadal Survey White Paper 2020
    paper bibtex
  97. 2019
  98. Novelty Detection for Multispectral Images with Application to Planetary Exploration
    Kerner, H. R., Wellington, D. F., Wagstaff, K. L., Bell III, J. F., Kwan, C., Ben Amor, H.
    AAAI 2019 · Oral presentation
    paper bibtex
  99. Deep Learning Methods Toward Generalized Change Detection on Planetary Surfaces
    Kerner, H. R., Wagstaff, K. L., Bue, B. D., Gray, P., Bell III, J. F., Ben Amor, H
    Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2019
    paper bibtex
  100. Machine Learning on Mars: A New Lens on Data from Planetary Exploration Missions
    Kerner, H. R.
    Ph.D. Dissertation, Arizona State University 2019
    bibtex
  101. 2018
  102. Context-Dependent Image Quality Assessment of JPEG-Compressed Mars Science Laboratory Mastcam Images using Convolutional Neural Networks
    Kerner, H. R., Ben Amor, H., Bell III, J. F.
    Computers and Geosciences 2018
    paper bibtex
  103. 2017
  104. Demosaicing Enhancement using Pixel-Level Fusion
    Kwan, C., Chou, B., Kwan, L., Larkin, J., Ayhan, B., Bell III, J. F., Kerner, H. R.
    Signal 2017
    paper bibtex