Freshwater lake inundation monitoring using Sentinel-1 SAR imagery in Eastern Uganda
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Date
2020-03-18
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor&Francis Online: Annals of GIS
Abstract
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.
Description
191-200 p.
Keywords
Lake inundation, Sentinel-1, SAR images, Shoreline, Backscatter-coefficient
Citation
Barasa, Bernard., Wanyama, Joshua (2020). Freshwater lake inundation monitoring using Sentinel-1 SAR imagery in Eastern Uganda.Taylor&Francis Online: Annals of GIS.https://doi.org/10.1080/19475683.2020.1743754.