| Cropharvest: A global dataset for crop-type classification G Tseng, I Zvonkov, CL Nakalembe, H Kerner Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 43* | 2021 |
| Lightweight, pre-trained transformers for remote sensing timeseries G Tseng, R Cartuyvels, I Zvonkov, M Purohit, D Rolnick, H Kerner arXiv preprint arXiv:2304.14065, 2023 | 22 | 2023 |
| How accurate are existing land cover maps for agriculture in Sub-Saharan Africa? H Kerner, C Nakalembe, A Yang, I Zvonkov, R McWeeny, G Tseng, ... arXiv preprint arXiv:2307.02575, 2023 | 5 | 2023 |
| OpenMapFlow: a library for rapid map creation with machine learning and remote sensing data I Zvonkov, G Tseng, C Nakalembe, H Kerner Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14655 …, 2023 | 2 | 2023 |
| Satellite Data Shows Resilience of Tigrayan Farmers in Crop Cultivation During Civil War H Kerner, C Nakalembe, B Yeh, I Zvonkov, S Skakun, I Becker-Reshef, ... arXiv preprint arXiv:2312.10819, 2023 | | 2023 |
| Usable Machine Learning for Remote Sensing Data I Zvonkov University of Maryland, College Park, 2023 | | 2023 |
| Towards accurate cropland area estimation with Earth observations and machine learning in Sub-Saharan Africa AD Adebayo, HR Kerner, I Zvonkov, G Tseng, CL Nakalembe AGU Fall Meeting Abstracts 2022, GC42I-0810, 2022 | | 2022 |
| Scalable Cropland and Crop Type Mapping with Machine Learning and Earth Observations for Field-scale Agriculture and Food Security Monitoring HR Kerner, CL Nakalembe, I Zvonkov, G Tseng, A Yang, I Becker-Reshef AGU Fall Meeting Abstracts 2022, GC13A-04, 2022 | | 2022 |
| Towards Scalable Crop-type mapping with EO and ML for Decision-making CL Nakalembe, HR Kerner, I Zvonkov, K Mwangi AGU Fall Meeting Abstracts 2022, GC46A-03, 2022 | | 2022 |
| OpenMapFlow: A Machine Learning Workflow for Rapid Map Creation using Earth Observation Data I Zvonkov, HR Kerner, G Tseng, CL Nakalembe, I Becker-Reshef AGU Fall Meeting Abstracts 2022, IN56A-07, 2022 | | 2022 |
| The Maui County Food Security Data Visualization Project: Progress and Lessons Learned from Year 1 HR Kerner, G Tseng, I Zvonkov, CL Nakalembe, AK Whitcraft AGU23, 0 | | |
Hannah Rae KernerAssistant Professor, Arizona State UniversityVerified email at umd.edu
