Methods for analyzing surface texture effects of volcanoes with Plinian and subplinian eruptions types: Cases of study Lascar (23 S) and Chaiten (42 S), Chile

TL;DR

This study introduces a new image processing methodology using Landsat satellite data to analyze surface texture changes around volcanoes, aiming to detect surface movements associated with Plinian and subplinian eruptions.

Contribution

The paper develops a novel methodology combining co-occurrence matrix and wavelet transform algorithms for volcanic surface texture analysis using satellite imagery.

Findings

Validated approach on two volcanoes with different climates and vegetation.

Effective detection of surface changes related to volcanic activity.

Algorithm parameters and constraints are clearly defined for practical use.

Abstract

This paper presents a new methodology that provides the analysis of surface texture changes in areas adjacent to the volcano and its impact product of volcanic activity. To do this, algorithms from digital image processing such as the co-occurrence matrix and the wavelet transform are used. These methods are working on images taken by the Landsat satellite platform sensor 5 TM and Landsat 7 ETM + sensor, and implemented with the purpose of evaluating superficial changes that can warn of surface movements of the volcano. The results were evaluated by similarity metrics for grayscale images, and validated in two different scenarios that have the same type of eruption, but differ, essentially, in climate and vegetation. Finally, the proposed algorithm is presented, setting the parameters and constraints for implementation and use.