Abstract
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.
Highlights
Among natural hazards, floods are currently the most frequent and costliest [1], causing worldwide fatalities as well as huge economic damage, affecting both rural and urban environments [2]
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Comparison with the results provided by implementing another Visible Infrared Imaging Radiometer Suite (VIIRS)-based method [11] seems to confirm the good capability of Robust Satellite Techniques (RST)-FLOOD to detect inundated area
Summary
Floods are currently the most frequent and costliest [1], causing worldwide fatalities as well as huge economic damage, affecting both rural and urban environments [2]. To reduce the effects of these potential threats, effective flood risk management is required [2] as well as, in case of disaster, a prompt detection of flooded areas in order to support decision makers with relief and rescue operations [6] In this framework, satellite remote sensing data have become a powerful tool, thanks to the growing availability of several satellite/sensors systems able to provide different information about inland surface water presence useful to manage flooding events [7,8]. Microwave sensors can provide useful evidence (i.e., 24 hours and under cloudy conditions) about flooded areas, with different characteristics depending on the specific technology used [9] Active systems, such as Synthetic Aperture Radar (SAR), can furnish data at a high spatial resolution (up to few meters) but, generally, with a long revisit period (up to five to six days), often resulting not suitable for assuring a quick identification and a continuous monitoring of flood-inundated area [10,11]. Their spatial and temporal resolution makes these sensors suitable for studying large-scale floods [6] but less adequate in case of moderate/small size events
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