Application of Enhanced-2D-CWT in Topographic Images for Mapping Landslide Risk Areas

TL;DR

This paper introduces an enhanced 2D Continuous Wavelet Transform method applied to high-resolution topographic images to identify and map landslide risk areas in Rio de Janeiro's mountainous regions, aiding disaster prevention.

Contribution

It presents a novel application of enhanced 2D-CWT for analyzing topographic images to delineate landslide risk zones, improving hazard mapping accuracy.

Findings

Effective identification of landslide-prone areas

Improved accuracy over traditional mapping methods

Potential for real-time risk assessment

Abstract

There has been lately a number of catastrophic events of landslides and mudslides in the mountainous region of Rio de Janeiro, Brazil. Those were caused by intense rain in localities where there was unplanned occupation of slopes of hills and mountains. Thus, it became imperative creating an inventory of landslide risk areas in densely populated cities. This work presents a way of demarcating risk areas by using the bidimensional Continuous Wavelet Transform (2D-CWT) applied to high resolution topographic images of the mountainous region of Rio de Janeiro.