Landslide susceptibility of Rwanda (Central Africa)

This paper presents a novel landslide susceptibility map of Rwanda (Central Africa), sadly acknowledged as highly exposed to natural hazards and affected by recurring landslide phenomena. The susceptibility assessment was performed using an integrated approach based on morphometric analysis in a Geographic Information System (GIS), supported by orthophoto analysis and geomorphological field mapping. The analysis was completed following a heuristic approach; 10 landslide controlling parameters were identified. Each parameter was assigned an appropriate weight based on expert judgement and analysed to realize thematic maps. All the data collected were mapped through a process of cartographic overlap to carry out the final zonation. The resulting map was grouped into five susceptibility classes (very low, low, medium, high, and very high), identifying areas with different probabilities of being affected by landslides. The Main Map represents a valuable tool to support sustainable territorial planning and landslide hazard assessment.

Authors

Institutions

Publication Details

Journal
Journal of Maps
Published
2024-11-26
DOI
https://doi.org/10.1080/17445647.2024.2428654
Citations
2
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
1.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Landslide susceptibility of Rwanda (Central Africa)

Cristian Panelli, Enrico Miccadei, Vincenzo Marsala, Giorgio Paglia et al.
2 citations
Journal of Maps
Landslides and related hazards
1.42
article

Landslide susceptibility of Rwanda (Central Africa)

Cristian Panelli, Enrico Miccadei, Vincenzo Marsala, Giorgio Paglia, Alberto Galli, Paride Colasante
article en
2 citations

Abstract

This paper presents a novel landslide susceptibility map of Rwanda (Central Africa), sadly acknowledged as highly exposed to natural hazards and affected by recurring landslide phenomena. The susceptibility assessment was performed using an integrated approach based on morphometric analysis in a Geographic Information System (GIS), supported by orthophoto analysis and geomorphological field mapping. The analysis was completed following a heuristic approach; 10 landslide controlling parameters were identified. Each parameter was assigned an appropriate weight based on expert judgement and analysed to realize thematic maps. All the data collected were mapped through a process of cartographic overlap to carry out the final zonation. The resulting map was grouped into five susceptibility classes (very low, low, medium, high, and very high), identifying areas with different probabilities of being affected by landslides. The Main Map represents a valuable tool to support sustainable territorial planning and landslide hazard assessment.

Journal of MapsVol. 20(1)
University of Chieti-Pescara (IT), Ingegneria dei Sistemi (Italy) (IT)
Climate action
Openalex Percentile: Top 14%
Landslides and related hazards
1.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Landslide susceptibility of Rwanda (Central Africa) — Cristian Panelli, Enrico Miccadei, et al. · Journal of Maps (2024) | TGRS Research Map | TGRS