Valerio Agnesi
Biographic Data
| ID | 8537909 |
|---|---|
| NAME | Valerio Agnesi |
| GIVEN NAMES | Valerio |
| FAMILY NAME | Agnesi |
| SIGNATURE | AGNESI V |
| AFFILIATIONS | University of Palermo |
| ORCID | 0000-0002-2422-6720 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Optimal slope units partitioning in landslide susceptibility mapping
In landslide susceptibility modeling, the selection of the mapping units is a very relevant topic both in terms of geomorphological adequacy and suitability of the models and final maps. In this paper, a test to integrate pixels and slope units is presented. MARS (Multivariate Adaptive Regression Splines) modeling was applied to assess landslide susceptibility based on a 12 predictors and a 1608 cases database. A pixel-based model was prepared an…
Geomorphology of the urban area of Palermo (Italy)
The results of a geomorphological study carried out in the urban area of Palermo are summarized in a thematic map. Field survey, analysis of aerial photographs and topographic maps, consultation of historical documents and maps, stratigraphic and topographic reconstruction from numerous wells and subsoil data, and bibliographic search were performed, in order to display the geomorphological changes produced by man over time in a densely populated…
No prominent works on this page.
Geomorphology of the urban area of Palermo (Italy)
The results of a geomorphological study carried out in the urban area of Palermo are summarized in a thematic map. Field survey, analysis of aerial photographs and topographic maps, consultation of historical documents and maps, stratigraphic and topographic reconstruction from numerous wells and subsoil data, and bibliographic search were performed, in order to display the geomorphological changes produced by man over time in a densely populated…
Optimal slope units partitioning in landslide susceptibility mapping
In landslide susceptibility modeling, the selection of the mapping units is a very relevant topic both in terms of geomorphological adequacy and suitability of the models and final maps. In this paper, a test to integrate pixels and slope units is presented. MARS (Multivariate Adaptive Regression Splines) modeling was applied to assess landslide susceptibility based on a 12 predictors and a 1608 cases database. A pixel-based model was prepared an…
Geology (2 works) · Geomorphology (2 works) · Landslide (2 works) · Landslides and related hazards (2 works) · 3D Surveying and Cultural Heritage (1 work) · Aerial photos (1 work) · Archaeology (1 work) · Artificial Intelligence (1 work) · Bayesian multivariate linear regression (1 work) · Cartography (1 work)