Detecting changes in surface water area of Lake Kyoga sub-basin using remotely sensed imagery in a changing climate

Nsubuga, Francis Wasswa Nkugwa; Botai, Joel Ongego; Olwoch, Jane Mukarugwiza; Rautenbach, C.J.deW.; Kalumba, Ahmed Mukalazi; Tsela, Philemon Lehlohonolo; Adeola, Abiodun M.; Sentongo, Ausi A.; Mearns, Kevin

doi:10.1007/s00704-015-1637-1

Cited by 28 publications

(23 citation statements)

References 27 publications

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“…Liou and Kar [18] conducted a review of evapotranspiration estimation with remote sensing and a number of surface energy balance algorithms. For the study area, Nsubuga et al [20] used remotely sensed Landsat images for 1986, 1995, and 2010 to detect changes in the surface water area of the LKB. Nsubuga et al [20] showed that the surface area of Lake Kyoga was increasing.…”

Section: Introductionmentioning

confidence: 99%

Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa

Onyutha

Acayo

Nyende

2020

Water

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This study analyzed changes in CenTrends gridded precipitation (1961–2015) and Potential Evapotranspiration (PET; 1961–2008) across the Lake Kyoga Basin (LKB). PET was computed from gridded temperature of the Princeton Global Forcings. Correlation between precipitation or PET and climate indices was analyzed. PET in the Eastern LKB exhibited an increase (p > 0.05). March–April–May precipitation decreased (p > 0.05) in most parts of the LKB. However, September–October–November (SON) precipitation generally exhibited a positive trend. Rates of increase in the SON precipitation were higher in the Eastern part where Mt. Elgon is located than at other locations. Record shows that Bududa district at the foot of Mt. Elgon experienced a total of 8, 5, and 6 landslides over the periods 1818–1959, 1960–2009, and 2010–2019, respectively. It is highly probable that these landslides have recently become more frequent than in the past due to the increasing precipitation. The largest amounts of variance in annual precipitation (38.9%) and PET (41.2%) were found to be explained by the Indian Ocean Dipole. These were followed by precipitation (17.9%) and PET (21.9%) variance explained by the Atlantic multidecadal oscillation, and North Atlantic oscillation, respectively. These findings are vital for predictive adaptation to the impacts of climate variability on water resources.

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Section: Introductionmentioning

confidence: 99%

Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa

Onyutha

Acayo

Nyende

2020

Water

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“…during the 2004/5 drought period, which correlated with Lake Victoria water levels dropping by a metre below the 10-year average (Kull, 2006). We have to remember that water resources are a proxy for climate variability (Nsubuga et al, 2015).…”

Section: Greenhouse Gas Emissionsmentioning

confidence: 99%

“…Considerable work has been done at a national level (Anyah and Semazzi, 2004;Osbahr et al, 2011;Nsubuga et al, 2011Nsubuga et al, , 2014aNsubuga et al, , 2014bNsubuga et al, , 2014cNsubuga et al, , 2015Bomuhangi et al, 2016), which has revealed various climatic changes in Uganda. The present work attempts to review various works in peer-reviewed articles and other forms of publication which have documented climate change in Uganda.…”

Section: Introductionmentioning

confidence: 99%

Climate change and variability: a review of what is known and ought to be known for Uganda

Nsubuga

Rautenbach

2018

IJCCSM

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Purpose In view of the consensus that climate change is happening, scientists have documented several findings about Uganda’s recent climate, as well as its variability and change. The purpose of this study is to review what has been documented, thus it gives an overview of what is known and seeks to explain the implications of a changing climate, hence what ought to be known to create a climate resilient environment. Design/methodology/approach Terms such as “climate”, “climate change” and “climate variability” were identified in recent peer-reviewed published literature to find recent climate-related literature on Uganda. Findings from independent researchers and consultants are incorporated. Data obtained from rainfall and temperature observations and from COSMO-CLM Regional Climate Model-Coordinated Regional Climate Downscaling Experiment (CCLM CORDEX) data, European Centre for Medium-Range Weather Forecasts (ECMWF) Interim Re-Analysis (ERA-Interim) data and Global Precipitation Climatology Centre (GPCC) have been used to generate spatial maps, seasonal outputs and projections using GrADS 2.02 and Geographic Information System (GIS) software for visualization. Findings The climate of Uganda is tropical in nature and influenced by the Inter-Tropical Convergence Zone (ITCZ), varied relief, geo-location and inland lakes, among other factors. The impacts of severe weather and climate trends and variability have been documented substantially in the past 20-30 years. Most studies indicated a rainfall decline. Daily maximum and minimum temperatures are on the rise, while projections indicate a decrease in rainfall and increase in temperature both in the near and far future. The implication of these changes on society and the economy are discussed herein. Cost of inaction is expected to become huge, given factors like, the growing rate of the population and the slow expanding economy experienced in Uganda. Varied forms of adaptation to the impacts of climate change are being implemented, especially in the agricultural sector and at house hold level, though not systematically. Originality/value This review of scientific research findings aims to create a better understanding of the recent climate change and variability in Uganda and provides a baseline of summarized information for use in future research and actions.

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“…Lake inundation can also trigger changes in chemical and morphometric characteristics such as the death of aquatic life and degradation of shoreline (Brito et al 2017). To the adjacent neighbourhoods, inundated areas might also instigate loss of property and lives (Nsubuga et al 2017;Tumusiime and Ageet 2018).…”

Section: Introductionmentioning

confidence: 99%

Freshwater lake inundation monitoring using Sentinel-1 SAR imagery in Eastern Uganda

Barasa

Wanyama

2020

Annals of GIS

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In flood hazard assessment, little attention has been given to the seasonal observation of freshwater inundation using Sentinel-1 Synthetic-Aperture Radar (SAR) images in the tropics. To assess these spatial variations, this study examined the inundation magnitudes and reflectance of riparian flora in the raining seasons (February-April and September-November) and dry-periods (May-August and December-January). The inundation areas were determined using an object-oriented classification algorithm, whilst the merits concerning the lake, riparian vegetation and shoreline were well-defined using backscatter-coefficient values. Findings indicated that the SAR images are practical to monitor inundation coverages and discern lake basin specific features such as highland areas, shoreline, water and riparian-vegetation. Seasonally, inundated sizes were comparatively higher in February (902 sq. km) and October (700 sq.km). Backscatter values of inundated parts varied from −16 dB to −19 dB, whereas those of riparian vegetation were higher in the months of May and August. This study hence displays a clear-cut correlation between riparian-vegetation, hydrology and climate variables.

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Detecting changes in surface water area of Lake Kyoga sub-basin using remotely sensed imagery in a changing climate

Cited by 28 publications

References 27 publications

Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa

Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa

Climate change and variability: a review of what is known and ought to be known for Uganda

Freshwater lake inundation monitoring using Sentinel-1 SAR imagery in Eastern Uganda

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