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

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dc.contributor.authorBarasa, Bernard
dc.contributor.authorWanyama, Joshua
dc.date.accessioned2022-12-04T10:56:07Z
dc.date.available2022-12-04T10:56:07Z
dc.date.issued2020
dc.description.abstractIn 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.en_US
dc.identifier.citationBernard Barasa & Joshua Wanyama (2020) Freshwater lake inundation monitoring using Sentinel-1 SAR imagery in Eastern Uganda, Annals of GIS, 26:2, 191-200, DOI: 10.1080/19475683.2020.1743754en_US
dc.identifier.other10.1080/19475683.2020.1743754
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/5773
dc.language.isoenen_US
dc.publisherAnnals of GISen_US
dc.subjectLake inundationen_US
dc.subjectSentinel-1en_US
dc.subjectSAR imagesen_US
dc.subjectShorelineen_US
dc.subjectBackscatter-coefficienten_US
dc.titleFreshwater lake inundation monitoring using Sentinel-1 SAR imagery in Eastern Ugandaen_US
dc.typeArticleen_US
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