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Catherine Nakalembe

Biographic Data

ID6314504
NAMECatherine Nakalembe
GIVEN NAMESCatherine
FAMILY NAMENakalembe
SIGNATURENAKALEMBE C
AFFILIATIONSUniversity of Maryland, College Park
ORCID0000-0002-2213-593X
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS3
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Considerations for AI-EO for agriculture in Sub-Saharan Africa

    Open Access•Catherine Nakalembe, Hannah Kerner•ARTICLE•Environmental Research Letters•2023

    With the ever-growing urgency of food insecurity and the threat of climate change, there is increasing interest in using artificial intelligence for Earth observations (AI-EO) for agriculture, particularly in Sub-Saharan Africa (SSA). This paper provides an overview of the primary research areas within AI-EO for agriculture in SSA. %(cropland and crop type classification, field boundary delineation, yield estimation, and pest/disease monitoring).…

  • Earth observations into action: The systemic integration of earth observation applications into national risk reduction decision structures

    Open Access•David Eley Borges, Steven Ramage et al.•ARTICLE•Disaster Prevention and…•2023

    Purpose As stated in the United Nations Global Assessment Report 2022 Concept Note, decision-makers everywhere need data and statistics that are accurate, timely, sufficiently disaggregated, relevant, accessible and easy to use. The purpose of this paper is to demonstrate scalable and replicable methods to advance and integrate the use of earth observation (EO), specifically ongoing efforts within the Group on Earth Observations (GEO) Work Progra…

  • Impacts of large-scale refugee resettlement on LCLUC: Bidi Bidi refugee settlement, Uganda case study

    Open Access•Catherine Nakalembe, Maria Zubkova et al.•ARTICLE•Environmental Research Letters•2022

    Uganda is the third-largest refugee-hosting country partly due to its open-door policy—deemed one of the most progressive. When new refugees arrive, refugee settlements are established rapidly, and irreversible changes to the landscape are inevitable. We utilize satellite data to map land cover (LC), land use, and burned area (BA) to assess their relationship in the context of large-scale refugee resettlement in Bidi Bidi—Uganda’s largest refugee…

  • Urgent and critical need for sub-Saharan African countries to invest in Earth observation-based agricultural early warning and monitoring systems

    Open Access•Catherine Nakalembe•ARTICLE•Environmental Research Letters•2020

  • Agricultural land use change in Karamoja Region, Uganda

    Open Access•Catherine Nakalembe, Jan Dempewolf et al.•ARTICLE•Land Use Policy•2017•Cited by: 3•References: 13

  • Agricultural land use change in Karamoja Region, Uganda

    Open Access•Catherine Nakalembe, Jan Dempewolf et al.•ARTICLE•Land Use Policy•2017•Cited by: 3•References: 13

  • Agricultural land use change in Karamoja Region, Uganda

    Open Access•Catherine Nakalembe, Jan Dempewolf et al.•ARTICLE•Land Use Policy•2017•Cited by: 3•References: 13

  • Urgent and critical need for sub-Saharan African countries to invest in Earth observation-based agricultural early warning and monitoring systems

    Open Access•Catherine Nakalembe•ARTICLE•Environmental Research Letters•2020

  • Impacts of large-scale refugee resettlement on LCLUC: Bidi Bidi refugee settlement, Uganda case study

    Open Access•Catherine Nakalembe, Maria Zubkova et al.•ARTICLE•Environmental Research Letters•2022

    Uganda is the third-largest refugee-hosting country partly due to its open-door policy—deemed one of the most progressive. When new refugees arrive, refugee settlements are established rapidly, and irreversible changes to the landscape are inevitable. We utilize satellite data to map land cover (LC), land use, and burned area (BA) to assess their relationship in the context of large-scale refugee resettlement in Bidi Bidi—Uganda’s largest refugee…

  • Considerations for AI-EO for agriculture in Sub-Saharan Africa

    Open Access•Catherine Nakalembe, Hannah Kerner•ARTICLE•Environmental Research Letters•2023

    With the ever-growing urgency of food insecurity and the threat of climate change, there is increasing interest in using artificial intelligence for Earth observations (AI-EO) for agriculture, particularly in Sub-Saharan Africa (SSA). This paper provides an overview of the primary research areas within AI-EO for agriculture in SSA. %(cropland and crop type classification, field boundary delineation, yield estimation, and pest/disease monitoring).…

  • Earth observations into action: The systemic integration of earth observation applications into national risk reduction decision structures

    Open Access•David Eley Borges, Steven Ramage et al.•ARTICLE•Disaster Prevention and…•2023

    Purpose As stated in the United Nations Global Assessment Report 2022 Concept Note, decision-makers everywhere need data and statistics that are accurate, timely, sufficiently disaggregated, relevant, accessible and easy to use. The purpose of this paper is to demonstrate scalable and replicable methods to advance and integrate the use of earth observation (EO), specifically ongoing efforts within the Group on Earth Observations (GEO) Work Progra…

Geography (5 works) · Business (4 works) · Agriculture (3 works) · Economics (3 works) · Engineering (3 works) · Environmental resource management (3 works) · Environmental Science (3 works) · Agroforestry (2 works) · Climate change (2 works) · Computer Science (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae