Catherine Nakalembe

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 9

Top Topics

Supervised Classification

Automatically Generate

Manually Generated

Top Venues

NeurIPS Datasets and Benchmarks

Publications

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 (2023)
Ivan Zvonkov, Gabriel Tseng, Catherine Nakalembe, Hannah Kerner
OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data. AAAI (2023)
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 (2023)
Gabriel Tseng, Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef
Learning To Predict Crop Type From Heterogeneous Sparse Labels Using Meta-Learning. CVPR Workshops (2021)
Gabriel Tseng, Ivan Zvonkov, Catherine Nakalembe, Hannah Kerner
CropHarvest: A global dataset for crop-type classification. NeurIPS Datasets and Benchmarks (2021)
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 (2021)
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 (2020)
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 (2020)
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) (2017)