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Università degli Studi di Cagliari

Investigation of Surface Instability Processes in Burned Areas through Remote Sensing and Field Surveys

Abstract

dc:description

Wildfires strongly impact rocky, forested landscapes, driving erosion, debris production, and changes in sediment connectivity. This study combines field surveys, remote sensing, and experimental analyses in the 2021 Montiferru-Planargia Fire and 2022 Los Guajares Fire burnt areas to investigate these processes. Thermal spalling is identified as the key mechanism generating new debris and fractures, influenced by lithology, fuel load, and wind. Novel empirical indices—Fire Efficiency Index (FEI), Rock-Fuel Efficiency (RFE) and Fire-driven Erosion Rock Susceptibility Index (FERSI)—quantify these effects, linking vegetation energy and fire intensity and, consequently, photosynthesis activity and fire severity indexes, to geomorphic responses. Geological discoveries in Montiferru improve hazard assessment frameworks, while a standalone software derived by existing literature provides a scalable tool for rapid postfire erosion evaluation. Results highlight the interplay between wildfire, rock erosion, and sediment dynamics, offering predictive approaches for geohazard management and future research into fire-driven landscape evolution.

Degree

thesis:*
Grantor dc:publisher
Università degli Studi di Cagliari
Year dc:date
2026

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • PALA, COSTANTINO
Contributors dc:contributor
  • MELIS, MARIA TERESA
  • PIOLI, LAURA

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • info:eu-repo/semantics/embargoedAccess
Language dc:language
eng

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:iris.unica.it:11584/475209

Chain of custody

source
Harvested from
Università di Cagliari
Base URL
iris.unica.it/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

PALA, COSTANTINO. Investigation of Surface Instability Processes in Burned Areas through Remote Sensing and Field Surveys. Università degli Studi di Cagliari, 2026. https://hdl.handle.net/11584/475209