Elena Brunori
Biographic Data
| ID | 8976019 |
|---|---|
| NAME | Elena Brunori |
| GIVEN NAMES | Elena |
| FAMILY NAME | Brunori |
| SIGNATURE | BRUNORI E |
| AFFILIATIONS | Università degli Studi della Tuscia |
| ORCID | 0000-0002-1475-1353 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Evaluating Shallow Landslide Prediction Mapping by Using Two Different GIS-Based Models
Landslides affecting soil layers up to 1–2 m deep pose a significant hazard in mountainous and hilly regions, particularly in the Mediterranean, where intense precipitation is increasing. Identifying landslide-prone areas is crucial for risk assessment and mitigation, as landslides can severely impact land surfaces, infrastructure, and inhabited areas. Forest cover and management play a fundamental role in stabilizing soil and reducing landslide …
Multi-temporal land use and cover changing analysis
Human activity shapes the levels of anthropogenic pressure that depend on the land management method adopted. This has a fundamental role in the transformation of traditional landscapes. This study focuses on a representative region of the Mediterranean area with the objective to analyse the landscape’s dynamics, to detect the spatial arrangement of class patches, to identify the main agroecosystem characters and to provide a framework to assess …
No prominent works on this page.
Multi-temporal land use and cover changing analysis
Human activity shapes the levels of anthropogenic pressure that depend on the land management method adopted. This has a fundamental role in the transformation of traditional landscapes. This study focuses on a representative region of the Mediterranean area with the objective to analyse the landscape’s dynamics, to detect the spatial arrangement of class patches, to identify the main agroecosystem characters and to provide a framework to assess …
Evaluating Shallow Landslide Prediction Mapping by Using Two Different GIS-Based Models
Landslides affecting soil layers up to 1–2 m deep pose a significant hazard in mountainous and hilly regions, particularly in the Mediterranean, where intense precipitation is increasing. Identifying landslide-prone areas is crucial for risk assessment and mitigation, as landslides can severely impact land surfaces, infrastructure, and inhabited areas. Forest cover and management play a fundamental role in stabilizing soil and reducing landslide …
Geography (2 works) · Agriculture (1 work) · Agroecosystem (1 work) · Cartography (1 work) · Computer Science (1 work) · Conservation, Biodiversity, and Resource Management (1 work) · Ecology (1 work) · Ecosystem (1 work) · Ecosystem services (1 work) · Environmental resource management (1 work)