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Mauro Rossi
PeerJ Editor & Author
270 Points

Contributions by role

Preprint Author 70
Editor 200

Contributions by subject area

Spatial and Geographic Information Systems
Statistics
Data Mining and Machine Learning
Data Science
Environmental Impacts
Spatial and Geographic Information Science

Mauro Rossi

PeerJ Editor & Author

Summary

Mauro Rossi is an expert on mapping, modeling and forecasting of landslides, floods and erosion processes in different geo-environmental and anthropic contexts. He has developed (i) new methodologies for statistical and deterministic analysis of the susceptibility and hazard posed by different geo-hydrological phenomena and for the estimation of their impacts, (ii) new statistical approaches to the definition of rainfall thresholds for triggering Landslides, (iii) early warning systems, (iv) approaches to the design optimal models for estimating landslide susceptibility and for the assessment of social risk posed by landslides and floods. He has also developed specific softwares for the landslide susceptibility modelling, for the landslide magnitude modelling and for the joint modeling of landslides and erosion processes in relation to different scenarios of geomorphological, climatic, vegetational and anthropic changes, in order to adequately characterize the hillslopes and the hydrological basins dynamics.

Data Mining & Machine Learning Scientific Computing & Simulation Spatial & Geographic Information Science Spatial & Geographic Information Systems Statistics

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences

Work details

Researcher

Consiglio Nazionale delle Ricerche
May 2004
Istituto di ricerca per la protezione idrogeologica

Websites

  • Google Scholar
  • ResearchGate

PeerJ Contributions

  • Preprints 1
  • Edited 1
October 20, 2018 - Version: 2
An example of SAR-derived image segmentation for landslides detection
Giuseppe Esposito, Alessandro Cesare Mondini, Ivan Marchesini, Paola Reichenbach, Paola Salvati, Mauro Rossi
https://doi.org/10.7287/peerj.preprints.27212v2

Academic Editor on

May 20, 2024
Machine learning approaches to debris flow susceptibility analyses in the Yunnan section of the Nujiang River Basin
Jingyi Zhou, Jiangcheng Huang, Zhengbao Sun, Qi Yi, Aoyang He
https://doi.org/10.7717/peerj.17352 PubMed 38784390