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  • 标题:Freshwater lake inundation monitoring using Sentinel-1 SAR imagery in Eastern Uganda
  • 本地全文:下载
  • 作者:Bernard Barasa ; Joshua Wanyama
  • 期刊名称:Annals of GIS
  • 印刷版ISSN:1947-5683
  • 出版年度:2020
  • 卷号:26
  • 期号:2
  • 页码:191-200
  • DOI:10.1080/19475683.2020.1743754
  • 语种:English
  • 出版社:Taylor & Francis Ltd.
  • 摘要: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.
  • 关键词:Lake inundation;Sentinel-1;SAR images;shoreline;backscatter-coefficient
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