Extent of severe flooding events in the Panaro river, Italy (OAL-IT)

The ambition of H2020 OPERANDUM project is to develop and document Nature Based Solutions (NBS) to mitigate risks associated with hydro-meteorological (HM) hazards. NBS mitigate risks by reducing the vulnerability of a particular system. The aim of this work is to demonstrate the use of multisource remote sensing data in documenting the impact of extreme HM events to advance knowledge on vulnerability and exposure. In particular the focus is to document past impacts due to extreme events selected from a characterization of recent (30 years) HM events in 11 Open Air Laboratories (OALs) where co-design, co-development and deployment of NBS are taking place. The impacts were documented by applying a wide spectrum of satellite image data and other, close – range, remote sensing techniques. A better understanding of the consequences due to extreme HM events in a particular area (OALs) is essential to identify elements at risk and expected to provide a reference to evaluate the reduction of vulnerability and mitigation of risks past the completion of NBS. This dataset contains Remote Sensing observations for the OAL-Italy , notably: - Flood maps of the identified extreme flood events occurred in the Panaro river (Italy) in the last 30 years derived by Space-borne Remote Sensing observations - Top and Bottom of Atmosphere reflectance, RS indicators and SAR backscatter used to derive the flood maps.欧盟地平线2020（H2020）OPERANDUM项目的目标是研发并记录基于自然的解决方案（Nature Based Solutions, NBS），以缓解与水文气象（hydro-meteorological, HM）灾害相关的风险。基于自然的解决方案通过降低特定系统的脆弱性来实现风险缓解。本研究旨在展示如何利用多源遥感数据记录极端水文气象事件的影响，以深化对脆弱性与暴露度的认知。具体而言，本研究聚焦于记录11个露天实验室（Open Air Laboratories, OALs）中选取的极端事件所造成的过往影响——这些实验室均正在开展基于自然的解决方案的协同设计、协同开发与部署工作，其选取的极端事件源自对这些实验室所在区域近30年水文气象事件的特征分析。本次影响记录工作通过应用多类卫星影像数据及其他近程遥感技术完成。深入理解特定区域（露天实验室）内极端水文气象事件所造成的后果，是识别风险要素的必要前提，同时也可为在基于自然的解决方案完成部署后评估脆弱性降低与风险缓解成效提供参考依据。本数据集包含意大利露天实验室（OAL-Italy）的遥感观测数据，具体包括： - 基于星载遥感（Space-borne Remote Sensing）观测得到的意大利帕纳罗河近30年间已识别极端洪水事件的洪水淹没图； - 用于生成上述洪水淹没图的大气顶与大气底反射率、遥感（Remote Sensing, RS）指标以及合成孔径雷达（Synthetic Aperture Radar, SAR）后向散射系数。