Assessing the Available Landslide Susceptibility Map and Inventory for the Municipality of Rio de Janeiro, Brazil
Potentials and Challenges for Data-Driven Applications
Bibliographic Data
| ID | 7207265 |
|---|---|
| Authors | Pedro Lima (0000-0003-2429-3752, General Electric (Austria)), Luiz Carlos Teixeira Coelho Filho (0000-0002-4466-9772, Centro Universitário da Cidade, corresponding author), Guilherme Damasceno Raposo (0009-0005-0145-4594, Universidade do Estado do Rio de Janeiro), Irving Da Silva Badolato (0000-0002-4058-4392, Universidade do Estado do Rio de Janeiro), Raquel Fonseca (0000-0002-6454-6622), Raquel Batista Medeiros da Fonseca (0000-0002-0095-3827, Institute of Religious Studies), Sonia Maria Lima Silva (0000-0002-2414-1516, Universidade do Estado do Rio de Janeiro), Jonatas Goulart Marinho Falcão (0009-0007-8515-7179, Universidade Federal do Rio de Janeiro) |
| Year | 2025 |
| Volume | 14 |
| Issue | 9 |
| Pages | 330-330 |
| Publication date | 2025-08-26 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijgi14090330 |
| OpenAlex | W4413641257 |
| Language | EN |
| Citations received | 1 |
| References cited | 55 |
This study presents an initial evaluation of the heuristic landslide susceptibility map for the Municipality of Rio de Janeiro by comparing it with the official landslide inventory. The objective is to provide a first analysis of the accuracy of the current map (Reference Map), which was developed using heuristic methods, in contrast with a basic predictive model based on Generalized Additive Models (GAMs). The study includes a critical review of the existing inventory and examines landslide records from 2010 to 2016, using georeferenced data provided by the GeoRio Foundation. Data from 2017 and 2018 are used for a preliminary test of the model. Rather than proposing a replacement, this study suggests that even simple data-driven models can offer useful insights into potential improvements in the reference susceptibility map. The results are exploratory and intended to inform future, more detailed analyses. While limited in scope, this work illustrates how quantitative approaches may complement existing methods in landslide prediction assessment
Archaeology · Cartography · Environmental planning · Environmental resource management · Geography · Geomorphology · Landslide · Environmental Science · Flood Risk Assessment and Management · Geotechnical Engineering and Analysis · Landslides and related hazards · Geology
The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan
A review of statistically-based landslide susceptibility models
Landslide inventory maps
The Varnes classification of landslide types, an update
Landslide Susceptibility Mapping and Assessment Using Geospatial Platforms and Weights of Evidence (WoE) Method in the Indian Himalayan Region
Epistemic injustice, risk mapping and climatic events
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |