Geodaysit 2023

Umberto Trivelloni


Sessions

06-12
17:30
15min
Evolution of the surface waters of the Po river in the 2020-22 period - a quantitative analysis of the drought effects with Sentinel-2 images
Carlo Masetto, Niccolo' Tolio, Eleonora Cagliero, Benedetta Gori, Umberto Trivelloni, Alessandra Amoroso, Laura Magnabosco

For Veneto Region, the year 2022 was affected by anomalies in terms of average temperature and recorded rainfall, compared to the climatic average of the last thirty years. The occurrence of these climatic conditions highlighted the inevitable negative effects for the environment; in particular, water resources were affected by this combination of climatic criticalities, both in terms of rivers’ flow rate and underground water flows, also due to the poor snow accumulations recorded in the Alps during the winter period.
Critical profiles in terms of surface runoff have been highlighted on various rivers and streams, particularly in the summer period. The main Italian river, the Po, was also affected by a water flow decrease in 2022, making evident the increase in the surfaces characterized by the presence of sand islands, visible along the river path.
This work, carried out by the Territorial Planning Department of the Veneto Region, aimed at a quantitative analysis of the surface covered by sand islands and surface water in a sufficiently representative area of the Po basin.
For the purposes of this study, the area included between the municipalities of Occhiobello (RO) and Ferrara was analysed (border area between Veneto and Emilia Romagna regions, where Po river flows). The analysis was carried out for the month of July 2022, comparing the data obtained with those relating to previous years (2020 and 2021).
In order to identify the islands of sand, multispectral Sentinel-2 satellite images were analysed, taking into consideration the wavelengths of the visible (B02, B03 and B04 bands), and that of the near infrared (B08 band). The area was then classified using supervised classification with the Random Forest classification algorithm, a methodology that allows to obtain high-precision classifications.
Considering the pixels’ size and the limits of the supervised classification, the precision of the analysis performed an accuracy higher than 95%. The analysis remarks relevance for monitoring the negative effects caused by the drought on the Po river. In the area under examination, a constant decrease in the surface of surface water was observed, and a corresponding increase of natural sand islands. From the analysis obtained, thanks to the use of the classifier, it is evident that the year 2022 was a year in which drought contributed to worsen the water stress for the Po river, with evident consequences on the environment in terms of availability of the water resource and the rise of the salt wedge near the river mouth. Moreover, the study presented here confirms the importance of using satellite data and classification tools for monitoring water bodies.

AIT Contribution
Sala Videoconferenza @ PoliBa
06-15
11:15
15min
Piattaforma open source per la gestione del territorio della Regione del Veneto
Umberto Trivelloni

La Regione del Veneto è da tempo impegnata nello sviluppo di una Piattaforma di Monitoraggio Territoriale (PIMOT) che è sostenuta con crescente energia dagli indirizzi politici al fine di migliorare i processi di programmazione, pianificazione e monitoraggio del territorio e dell’ambiente.
Si tratta di un progetto che sviluppa un articolato sistema di informazioni basate sulla componente geografica e che vede coinvolte numerose strutture regionali, centrali e periferiche. Il ricorso alle applicazioni open source (Qgis, Postgres…) ha consentito infatti non soltanto di creare una rete di dati molto ricca e diversificata, ma anche di collegare diverse categorie di utenze raggiungendo gli specialisti che operano nelle sedi periferiche e a più diretto contatto con il territorio anche nelle situazioni di emergenza.
PIMOT mette a sistema un vastissima mole di dati interni regionali provenienti dall’Infrastruttura Dati Territoriali (IDT-RV) e dai sistemi di monitoraggio di ARPAV a cui si accompagnano fonti esterne derivanti soprattutto da piattaforme satellitari per l’Earth Observation.
Da questo serbatoio di dati si ricavano informazioni storiche ed in tempo reale che sono agevolmente fruibili dagli utenti attraverso procedure e servizi di facile utilizzo.
Accanto allo sviluppo e all’implementazione della piattaforma sono stati sviluppati dei servizi social per divulgare al maggior numero possibile di utenti i temi dell’osservazione della Terra che, unitamente a cicli di formazione online, stanno disseminando le competenze tecniche e scientifiche creando, in ultima analisi, le condizioni adeguate per il potenziamento a lungo termine della piattaforma.

GFOSS.it Contributions
Sala Videoconferenza @ PoliBa