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Anthony Gidudu

Biographic Data

ID6467567
NAMEAnthony Gidudu
GIVEN NAMESAnthony
FAMILY NAMEGidudu
SIGNATUREGIDUDU A
AFFILIATIONSMakerere University
ORCID0000-0002-3294-2612
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS4
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Dimensions and drivers of social vulnerability to flood risk in Manafwa catchment, Eastern Uganda

    Open Access•Godwin Erima, Yazidhi Bamutaze et al.•ARTICLE•Cogent Social Sciences•2025

    Over the past decade, Uganda has experienced a notable increase in extreme meteorological hazards, yet the country lacks a comprehensive disaster management strategy. Despite the critical role it plays in disaster risk reduction, there is a shortage of approaches that contribute to our understanding of social vulnerability within dynamic contextual conditions. This study therefore offers a comprehensive assessment of both flood exposure and socia…

  • Quantifying forest above ground biomass

    Open Access•Fortunate Kemigyisha, Evet Naturinda et al.•ARTICLE•Trees Forests and People•2025

    This review compares traditional and remote sensing methods for biomass estimation. • Traditional methods are more accurate but arduous, costly on a large-scale. • Remote sensing techniques are suitable for large-scale forest analysis. • Artificial Neural Networks performed best with coefficient of determination of 0.8. • Further exploration of artificial and convolutional neural networks is recommended. Forests are important in sequestering carb…

  • Spatiotemporal Analysis of the Hydrological Responses to Land-Use Land-Cover Changes in the Manafwa Catchment, Eastern Uganda

    Godwin Erima, Anthony Gidudu et al.•ARTICLE•The Professional Geographer•2024

    This study evaluated the impact of land-use land-cover (LULC) change (LULCC) on the hydrologic processes of the Manafwa Basin in eastern Uganda using the Soil and Water Assessment Tool (SWAT) model. Model inputs included the 1995, 2008, and 2017 LULC maps; digital elevation model; and soil, climatological, and hydrologic data. The Calibration and Uncertainty Program Sequential Uncertainty Fitting algorithm was used to calibrate and validate the S…

  • Determinants of households' flood risk coping strategies in a high exposure system of the Manafwa catchment and Lake Kyoga Basin

    Open Access•Godwin Erima, Anthony Egeru et al.•ARTICLE•Water Policy•2023

    The impact of floods on households in Uganda is becoming increasingly severe. It is often assumed that people who reside in a riverine area have adapted to flood pulses. However, in most cases, household-level risk reduction strategies are inadequate for ensuring a livelihood resilient to floods. The objective of this study was to investigate the determinants of households' decisions on coping strategies in the Manafwa catchment, Eastern Uganda. …

  • Implementation of Fair Principles for Ontologies in the Disaster Domain

    Open Access•Allan Mazimwe, Imed Hammouda et al.•ARTICLE•ISPRS International Journal of…•2021

    The success of disaster management efforts demands meaningful integration of data that is geographically dispersed and owned by stakeholders in various sectors. However, the difficulty in finding, accessing and reusing interoperable vocabularies to organise disaster management data creates a challenge for collaboration among stakeholders in the disaster management cycle on data integration tasks. Thus the need to implement FAIR principles that de…

  • Lockdown lessons

    Justine I Blanford, Forrest J Bowlick et al.•ARTICLE•Journal of Geography in Higher…•2021•Cited by: 4•References: 2

    We report the findings from two global panel “conversations” that, stimulated by the exceptional coronavirus pandemic of 2020/21, explored the concept of resilience in geographic science teaching and learning. Characteristics of resilient teaching, both in general and with reference to GISc, are listed and shown to be essentially what might in the past have been called good teaching. Similarly, barriers to resilient teaching are explored and stra…

  • Lockdown lessons

    Justine I Blanford, Forrest J Bowlick et al.•ARTICLE•Journal of Geography in Higher…•2021•Cited by: 4•References: 2

    We report the findings from two global panel “conversations” that, stimulated by the exceptional coronavirus pandemic of 2020/21, explored the concept of resilience in geographic science teaching and learning. Characteristics of resilient teaching, both in general and with reference to GISc, are listed and shown to be essentially what might in the past have been called good teaching. Similarly, barriers to resilient teaching are explored and stra…

  • Implementation of Fair Principles for Ontologies in the Disaster Domain

    Open Access•Allan Mazimwe, Imed Hammouda et al.•ARTICLE•ISPRS International Journal of…•2021

    The success of disaster management efforts demands meaningful integration of data that is geographically dispersed and owned by stakeholders in various sectors. However, the difficulty in finding, accessing and reusing interoperable vocabularies to organise disaster management data creates a challenge for collaboration among stakeholders in the disaster management cycle on data integration tasks. Thus the need to implement FAIR principles that de…

  • Lockdown lessons

    Justine I Blanford, Forrest J Bowlick et al.•ARTICLE•Journal of Geography in Higher…•2021•Cited by: 4•References: 2

    We report the findings from two global panel “conversations” that, stimulated by the exceptional coronavirus pandemic of 2020/21, explored the concept of resilience in geographic science teaching and learning. Characteristics of resilient teaching, both in general and with reference to GISc, are listed and shown to be essentially what might in the past have been called good teaching. Similarly, barriers to resilient teaching are explored and stra…

  • Determinants of households' flood risk coping strategies in a high exposure system of the Manafwa catchment and Lake Kyoga Basin

    Open Access•Godwin Erima, Anthony Egeru et al.•ARTICLE•Water Policy•2023

    The impact of floods on households in Uganda is becoming increasingly severe. It is often assumed that people who reside in a riverine area have adapted to flood pulses. However, in most cases, household-level risk reduction strategies are inadequate for ensuring a livelihood resilient to floods. The objective of this study was to investigate the determinants of households' decisions on coping strategies in the Manafwa catchment, Eastern Uganda. …

  • Spatiotemporal Analysis of the Hydrological Responses to Land-Use Land-Cover Changes in the Manafwa Catchment, Eastern Uganda

    Godwin Erima, Anthony Gidudu et al.•ARTICLE•The Professional Geographer•2024

    This study evaluated the impact of land-use land-cover (LULC) change (LULCC) on the hydrologic processes of the Manafwa Basin in eastern Uganda using the Soil and Water Assessment Tool (SWAT) model. Model inputs included the 1995, 2008, and 2017 LULC maps; digital elevation model; and soil, climatological, and hydrologic data. The Calibration and Uncertainty Program Sequential Uncertainty Fitting algorithm was used to calibrate and validate the S…

  • Dimensions and drivers of social vulnerability to flood risk in Manafwa catchment, Eastern Uganda

    Open Access•Godwin Erima, Yazidhi Bamutaze et al.•ARTICLE•Cogent Social Sciences•2025

    Over the past decade, Uganda has experienced a notable increase in extreme meteorological hazards, yet the country lacks a comprehensive disaster management strategy. Despite the critical role it plays in disaster risk reduction, there is a shortage of approaches that contribute to our understanding of social vulnerability within dynamic contextual conditions. This study therefore offers a comprehensive assessment of both flood exposure and socia…

  • Quantifying forest above ground biomass

    Open Access•Fortunate Kemigyisha, Evet Naturinda et al.•ARTICLE•Trees Forests and People•2025

    This review compares traditional and remote sensing methods for biomass estimation. • Traditional methods are more accurate but arduous, costly on a large-scale. • Remote sensing techniques are suitable for large-scale forest analysis. • Artificial Neural Networks performed best with coefficient of determination of 0.8. • Further exploration of artificial and convolutional neural networks is recommended. Forests are important in sequestering carb…

Environmental Science (3 works) · Flood Risk Assessment and Management (3 works) · Geography (3 works) · Psychology (3 works) · Computer Science (2 works) · Drainage basin (2 works) · Environmental planning (2 works) · Environmental resource management (2 works) · Flood myth (2 works) · Medicine (2 works)

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