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2020 – today
- 2024
[c4]Isha Asalla, Diana Botchway Frimpong, Catherine Nakalembe:
Field-Scale Yield Estimation Using Remote Sensing Time-Aggregate Variables. IGARSS 2024: 9716-9720- 2023
- [c3]Ivan Zvonkov, Gabriel Tseng, Catherine Nakalembe, Hannah Kerner:
OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data. AAAI 2023: 14655-14663 - [i5]Hannah Kerner, Catherine Nakalembe, Adam Yang, Ivan Zvonkov, Ryan McWeeny, Gabriel Tseng, Inbal Becker-Reshef:
How accurate are existing land cover maps for agriculture in Sub-Saharan Africa? CoRR abs/2307.02575 (2023) - [i4]Hannah Kerner, Catherine Nakalembe
, Benjamin Yeh, Ivan Zvonkov, Sergii Skakun, Inbal Becker-Reshef, Amy McNally:
Satellite Data Shows Resilience of Tigrayan Farmers in Crop Cultivation During Civil War. CoRR abs/2312.10819 (2023) - 2021
- [c2]Gabriel Tseng, Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef:
Learning To Predict Crop Type From Heterogeneous Sparse Labels Using Meta-Learning. CVPR Workshops 2021: 1111-1120 - [c1]Gabriel Tseng, Ivan Zvonkov, Catherine Nakalembe, Hannah Kerner:
CropHarvest: A global dataset for crop-type classification. NeurIPS Datasets and Benchmarks 2021 - [i3]Robert Huppertz, Catherine Nakalembe, Hannah Kerner, Ramani Lachyan, Maxime Rischard:
Using transfer learning to study burned area dynamics: A case study of refugee settlements in West Nile, Northern Uganda. CoRR abs/2107.14372 (2021) - 2020
- [i2]Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef:
Field-Level Crop Type Classification with k Nearest Neighbors: A Baseline for a New Kenya Smallholder Dataset. CoRR abs/2004.03023 (2020) - [i1]Hannah Kerner, Gabriel Tseng, Inbal Becker-Reshef, Catherine Nakalembe, Brian Barker, Blake Munshell, Madhava Paliyam, Mehdi Hosseini:
Rapid Response Crop Maps in Data Sparse Regions. CoRR abs/2006.16866 (2020)
2010 – 2019
- 2017
- [j1]Juan Carlos Laso Bayas, Linda See, Christoph Perger, Christina Justice, Catherine Nakalembe, Jan Dempewolf, Steffen Fritz:
Validation of Automatically Generated Global and Regional Cropland Data Sets: The Case of Tanzania. Remote. Sens. 9(8): 815 (2017)
Coauthor Index
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