ESA GREENISH (DIT.AD012.161)

Area tematica

Ingegneria, ICT e tecnologie per l'energia e i trasporti

Area progettuale

Struttura responsabile del progetto di ricerca

Istituto per il rilevamento elettromagnetico dell'ambiente (IREA)

Responsabile di progetto

ANTONIO PEPE
Telefono: +393245815484
E-mail: pepe.a@irea.cnr.it

Abstract

Coastal zones are essential for the socio-economic well-being of many nations. Coastal regions, which are the location of large population centres, have multiple uses, needs and opportunities, and are particularly exposed to extreme events and climate change. Many key sectors are affected by long-term effects in these zones, such as the monitoring of public/private infrastructures, cultural/natural heritage preservation, risk management, and agriculture. The combined effects of sea level rise (SLR), tidal evolution, modulated ocean currents and extreme events can have numerous impacts to coastal, river delta, and inland water zones, including water management, which in turn lead to cascading and unpredictable impacts on other sectors. The GREENISH project is the natural extension of the 32294 Dragon IV project, and aims to provide extensive research and development analyses of areas in Europe and China subject to climate change induced (e.g., SLR, flooding, and urban climate threats) and anthropogenic disasters (e.g., ground subsidence over reclaimed-land platforms), with the goal to improve the knowledge and develop new remote-sensing methods.

Obiettivi

Main expected result is the advance of knowledge for the study of interactions among ocean/see, ground changes and atmosphere. Different WPs will have specific results and success criteria: WP1: Ground displacement maps at large and fine resolution scales with the enhanced DInSAR processing tools. Monitoring of public infrastructures and the deformation of urbanized areas will be carried out. DInSAR ground subsidence is used to obtain flooding maps and test hydrogeological models in Shanghai and the Venice Lagoon. Developed new algorithms are tested with simulated and real data, and retrieved flooded models are validated with additional in-situ data. WP2: Land cover/land change and ground deformation maps using a large volume of multi-temporal Sentinel-1 data via efficient parallel processing related to the area of Bohai rim region. Testing of the used algorithms for efficient processing of Sentinel-1 data. WP3: Produce LULC maps of the Istanbul city obtained by integrated SAR and optical approaches. WP4: Generation and Analysis of the sea-level time-series in the Marmara Sea and the study of the effects on coast.

Data inizio attività

01/07/2021

Parole chiave

radar, deformazioni del suolo, sea level rise

Ultimo aggiornamento: 22/12/2024