Browsing by Author "Nedala, Shafiq"

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    Assessment of Landslide susceptibility and risk to road network in Mt Elgon, Uganda
    (Natural Hazards, 2019) Nakileza, Bob Roga; Mugagga, Frank; Musali, Paul; Nedala, Shafiq
    Globally landslides occurrence is reportedly frequent particularly in the mountainous regions causing both direct and indirect effects to various sectors including the road transport. Landslides directly cause physical impact on the road network such as deposition of debris and impartial or total erosion of road segments. This leads to increased damage costs. Indirectly landslides cause disruption of the trade and movement whenever roads are blocked and alternative routes are resorted to. Existing literature reveals limited assessment of road vulnerability to landslides in the mountain regions in Africa. This study aimed at closing this information gap by investigating the risk to different segments of the road network in the Mt Elgon region. A fuzzy logic model was used to assess and map the landslide susceptibility into low, moderate, high and very high categories. The results reveal that mid to high altitude steep and rugged areas are more susceptible to landslides. The model performance was good as revealed by high AUC of 83%. Hotspot segments, which are high risk sections of the road network need to be prioritized for monitoring and risk mitigation.
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    Land Cover Change Detection and Subsistence Farming Dynamics in the Fringes of Mount Elgon National Park, Uganda from 1978–2020
    (Remote Sens, 2022) Opedes, Hosea; Mücher, Sander; Baartman, Jantiene E. M.; Nedala, Shafiq; Mugagga, Frank
    Analyzing the dominant forms and extent of land cover changes in the Mount Elgon region is important for tracking conservation efforts and sustainable land management. Mount Elgon’s rugged terrain limits the monitoring of these changes over large areas. This study used multitemporal satellite imagery to analyze and quantify the land cover changes in the upper Manafwa watershed of Mount Elgon, for 42 years covering an area of 320 km2. The study employed remote sensing techniques, geographic information systems, and software to map land cover changes over four decades (1978, 1988, 2001, 2010, and 2020). The maximum likelihood classifier and post-classification comparison technique were used in land cover classification and change detection analysis. The results showed a positive percentage change (gain) in planted forest (3966%), built-up (890%), agriculture (186%), and tropical high forest low-stocked (119%) and a negative percentage change (loss) in shrubs (􀀀81%), bushland (􀀀68%), tropical high forest well-stocked (􀀀50%), grassland (􀀀44%), and bare and sparsely vegetated surfaces (􀀀14%) in the period of 1978–2020. The observed changes were concentrated mainly at the peripheries of the Mount Elgon National Park. The increase in population and rising demand for agricultural land were major driving factors. However, regreening as a restoration effort has led to an increase in land area for planted forests, attributed to an improvement in conservation-related activities jointly implemented by the concerned stakeholders and native communities. These findings revealed the spatial and temporal land cover changes in the upper Manafwa watershed. The results could enhance restoration and conservation efforts when coupled with studies on associated drivers of these changes and the use of very-high-resolution remote sensing on areas where encroachment is visible in the park.