Catherine Nakalembe

According to our database, Catherine Nakalembe authored at least 10 papers between 2017 and 2024.

Collaborative distances:

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

2024

Field-Scale Yield Estimation Using Remote Sensing Time-Aggregate Variables.

Isha Asalla, Diana Botchway Frimpong, Catherine Nakalembe

Proceedings of the IGARSS 2024, 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

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

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

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

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

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

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

2017

Validation of Automatically Generated Global and Regional Cropland Data Sets: The Case of Tanzania.

Juan Carlos Laso Bayas, Linda See, Christoph Perger, Christina Justice, Catherine Nakalembe, Jan Dempewolf, Steffen Fritz

Remote. Sens., 2017