Hannah Kerner

According to our database, Hannah Kerner authored at least 32 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Mission Critical - Satellite Data is a Distinct Modality in Machine Learning.

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

CoRR, 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

ConeQuest: A Benchmark for Cone Segmentation on Mars.

Mirali Purohit, Jacob B. Adler, Hannah Kerner

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

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

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, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe

CoRR, 2023

How accurate are existing land cover maps for agriculture in Sub-Saharan Africa?

Hannah Kerner, Catherine Nakalembe, Adam Yang, Ivan Zvonkov, Ryan McWeeny, Gabriel Tseng, Inbal Becker-Reshef

CoRR, 2023

Lightweight, Pre-trained Transformers for Remote Sensing Timeseries.

Gabriel Tseng, Ivan Zvonkov, Mirali Purohit, David Rolnick, Hannah Kerner

CoRR, 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, David Vázquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Automated Multi-class Crater Segmentation in Mars Orbital Images.

Shrey Malvi, Hitansh Shah, Niketan Chandarana, Mirali Purohit, Jacob B. Adler, Hannah Kerner

Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2023

OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data.

Ivan Zvonkov, Gabriel Tseng, Catherine Nakalembe, Hannah Kerner

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

TIML: Task-Informed Meta-Learning for Agriculture.

Gabriel Tseng, Hannah Kerner, David Rolnick

CoRR, 2022

Guiding Field Exploration on Earth and Mars with Outlier Detection.

Hannah Rae Kerner, Jacob B. Adler

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

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

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

Remote. Sens., 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

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

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

CropHarvest: A global dataset for crop-type classification.

Gabriel Tseng, Ivan Zvonkov, Catherine Nakalembe, Hannah Kerner

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 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, Kei Oyoshi, Yoshinobu Sasaki, Keishiro Nakamoto, Olaf Veerman

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Learning To Predict Crop Type From Heterogeneous Sparse Labels Using Meta-Learning.

Gabriel Tseng, Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

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

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

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

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

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

2019

Machine Learning on Mars: A New Lens on Data from Planetary Exploration Missions.

Hannah Rae Kerner

PhD thesis, 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

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

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