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On the Potential of RST-FLOOD on Visible Infrared Imaging Radiometer Suite Data for Flooded Areas Detection

机译:关于可见红外成像辐射计潜线数据套件数据的潜在洪水区潜水

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摘要

Timely and continuous information about flood spatiotemporal evolution are fundamental to ensure an effective implementation of the relief and rescue operations in case of inundation events. In this framework, satellite remote sensing may provide a valuable contribution provided that robust data analysis methods are implemented and suitable data, in terms of spatial, spectral and temporal resolutions, are employed. In this paper, the Robust Satellite Techniques (RST) approach, a satellite-based differential approach, already applied at detecting flooded areas (and therefore christened RST-FLOOD) with good results on different polar orbiting optical sensors (i.e., Advanced Very High Resolution Radiometer – AVHRR – and Moderate Resolution Imaging Spectroradiometer – MODIS), has been fully implemented on time series of Suomi National Polar-orbiting Partnership (Suomi-NPP-SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) data. The flooding event affecting the Metaponto Plain in Basilicata and Puglia regions (southern Italy) in December 2013 was selected as a case study and investigated by analysing five years (only December month) of VIIRS Imagery bands at 375 m spatial resolution. The achieved results clearly indicate the potential of the proposed approach, especially when compared with a satellite-based high resolution map of flooded area, as well as with the official flood hazard map of the area and the outputs of a recent published VIIRS-based method. Both flood extent and dynamics have been recognized with good reliability during the investigated period, with only a residual 11.5% of possible false positives over an inundated area extent of about 73 km2. In addition, a flooded area of about 18 km2 was found outside the hazard map, suggesting it requires updating to better manage flood risk and prevent future damages. Finally, the achieved results indicate that medium-resolution optical data, if analysed with robust methodologies like RST-FLOOD, can be suitable for detecting and monitoring floods also in case of small hydrological basins.
机译:及时了解洪水的时空演化连续信息,从根本上保证在洪水事件的情况下有效地执行救济和救援行动。在此框架下,卫星遥感可以提供提供健壮数据分析方法被实现和合适的数据,在空间,光谱分辨率和时间分辨率的术语,使用的有价值的贡献。在本文中,所述鲁棒卫星技术(RST)的方法,基于卫星的差分方法,已经在检测淹没区施加(因此命名为RST-FLOOD)与上不同的极地轨道的光学传感器良好的结果(即,高级甚高分辨率辐射计 - AVHRR - 和中度分辨率成像光谱仪 - MODIS),对时间序列芬兰语国家极轨伙伴关系(芬兰语-NPP-SNPP)可见光红外成像辐射计套件(VIIRS)的数据得到充分执行。在2013年12月影响Metaponto的平原巴西利卡塔和普利亚区(意大利南部)的溢流事件被选为案例研究,并通过在375 M个空间分辨率分析VIIRS影像带的五年(仅12月当月)的影响。所取得的结果清楚地表明了该方法的潜力,特别是在与淹没区的基于卫星的高分辨率地图相比,以及与该地区的官方洪水障碍地图和近期公布的产出VIIRS为基础的方法。既洪水程度和动力学已被超过的约73平方公里的区域被淹没的程度在研究期间确认具有良好的可靠性,仅可能的假阳性的剩余11.5%。此外,约18平方公里洪泛区被发现的危险地图外,提示需要更新,以更好地管理洪水风险,防止未来的损害。最后,所获得的结果表明,中分辨率的光学数据,如果具有健壮的方法等RST-FLOOD分析,可以是适用于检测和监测洪水还以小水系流域的情况。

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