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2 results for “Panaro river”
Area averaged Sentinel 2 vegetation Indices time series on NBS and control sites (Panaro River). Further details can be found in D4.5 of the OPERANDUM project.
<p>NBS interventions in OAL-IT (Panaro) aimed at the establishment of a dense deep rooted perennial vegetation on river embankments with the goal to improve the strength of the vadose zone and to reduce erosivity of the soil cover. Monitoring the vegetation cover at the NBS location over time shall provide information about vegetation growth and structure past the completion of the intervention and could give useful insights on the status and effectiveness of the NBS.</p> <p>Dataset includes area averaged Vegetation Indices calculated by a time series of Sentinel-2 multispectral data (10-20 m spatial resolution). Normalized Difference Vegetation Index, Inverted Red-Edge Chlorophyll Index and Red Position Index were calculated for the cloud free images available in the time period between January 2019 and December 2021 providing a total of 71 images covering the NBS site and a control site close to it. The analysis was focused on the evaluation of the temporal profile of Vegetation Indices that can provide metrics of the vigor and health of the vegetation in both the NSB and the standard vegetation (control area).</p>
Extent of severe flooding events in the Panaro river, Italy (OAL-IT)
<p>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.</p> <p>This dataset contains Remote Sensing observations for the OAL-Italy , notably:</p> <p>- 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 </p> <p>- Top and Bottom of Atmosphere reflectance, RS indicators and SAR backscatter used to derive the flood maps. </p> <p> </p>
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