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

机译:淡水湖淹没监测在乌干达东部的哨兵-1 SAR意象

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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.
机译:在洪水危险评估中,已经在热带地区的哨子-1合成孔径雷达(SAR)图像中对淡水淹没的季节性观察很少。为了评估这些空间变化,本研究检测了下雨季节(2月至4月至11月)和干燥期(5月至8月至1月)的淹没量大和反射率。淹没区域采用面向对象的分类算法确定,同时利用湖泊,河岸植被和海岸线使用反向散射系数定义。调查结果表明,SAR图像实际,无法监控淹没覆盖范围和辨别湖流域特定功能,如高地地区,海岸线,水和河岸 - 植被。季节性地,2月份(902平方公里)和10月(700平方米)的季节性淹没的尺寸相对较高。淹没零件的反向散射值从-16 db变化至-19 dB,而河岸植被的植被在五月和八月的时间里较高。因此,本研究表明河岸 - 植被,水文和气候变量之间的明显相关性。

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