Giammarco Manfreda
Exploiting Sentinel-2 dataset to assess flowing status in non-perennial rivers. A case study: Sangone river.
Rel. Paolo Vezza, Giovanni Negro. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Per L'Ambiente E Il Territorio, 2023
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Abstract
Non-perennial rivers are the most common type of rivers on Earth today. Due to anthropogenic pressures, such as changes in land uses, water withdrawals and climate change, the shifting from a perennial to a non-perennial condition is becoming faster and the preservation of temporary rivers and streams is in jeopardy. Their ubiquity and crucial role in biodiversity and rivers’ ecosystems defense are widely recognized. However, the lack of social perception of their importance, together with the complexity of evaluating their ephemerality, makes it difficult for policymakers to draw up appropriate legislation to establish their degraded condition and promote their preservation. In this thesis, it was used hydrogeologic data, Sentinel-2’s images and a Random Forest algorithm to detect and foresee the daily flowing status of three segments of the Sangone river in Piemonte, with the aim of assessing the duration and frequency of each flowing status.
By evaluating the reflectance signature of sediments, vegetation, and water in the riverbed, and with the help of ground truth data and high-resolution images, it was found that the false color image with SWIR, NIR, and RED’s Sentinel-2 bands allows the optimum discrimination of river water compared with other classes
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