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Paolo Mazzoli

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

122

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Geomorphic Flood Hazard Mapping: From Floodplain Delineation to Flood-Hazard Characterization

Number of pages: 30 Posted: 14 Feb 2023
Andrea Magnini, Michele Lombardi, Armir Bujari, Pietro Mattivi, Iuliia Shustikova, Simone Persiano, Marco Patella, Gabriele Bitelli, Paolo Bellavista, Francesco Lo Conti, Antonio Tirri, Stefano Bagli, Paolo Mazzoli and Attilio Castellarin
University of Bologna, affiliation not provided to SSRN, University of Bologna, affiliation not provided to SSRN, affiliation not provided to SSRN, UnipolSai Assicurazioni SpA, affiliation not provided to SSRN, affiliation not provided to SSRN, Università di Bologna, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 99 (694,528)

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Geomorphic index, DEM, Remote Sensing, inundation scenario, machine-learning, Italy

2.

Progressive Residual Phase-Aware Token-Mixing Architecturefor Global Sentinel-1 Flood Mapping

Number of pages: 20 Posted: 17 Feb 2026
Saeid Daliri Susefi, Paolo Mazzoli, Valerio Luzzi, Tommaso Redaelli, Marco Renzi, Francesca Renzi and Stefano Bagli
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 12 (1,541,665)

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SAR, flood mapping, deep learning, Sentinel-1, U-Net

3.

Progressive Residual Phase-Aware Token-Mixing Architecture for Global Sentinel-1 Flood Mapping

Number of pages: 20 Posted: 23 Mar 2026
Saeid Daliri Susefi, Stefano Bagli, Paolo Mazzoli, Valerio Luzzi, Tommaso Redaelli, Marco Renzi and Francesca Renzi
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 11 (1,541,665)

Abstract:

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SAR, flood mapping, deep learning, Sentinel-1, U-Net