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Identification of Anomalous Morphological Landforms and Structures Based on Large Scale Discrete Wavelet Analysis

  • Angelo DoglioniEmail author
Conference paper

Abstract

The identification and delineation of morphological patterns through a quantitative approach constitutes an important stage both for the geomorphological characterization of a region and for the interpretation of landforms for engineering geological purposes. This task is usually based on the expert judgment of terrestrial and aerial surveys or of thematic maps. This is potentially a cause of uncertainty, since personal and empirical opinions may bias the procedure. Here an automatic numerical approach, based on 2D discrete wavelet transform of the digital elevation model, is applied in order to map the anomalies of the topographic surface at large scale. The approach focuses on the digital elevation model of the Salento peninsula in Southern Italy denoted by a widespread outcropping of Quaternary sedimentary units largely covering an intensively fractured Cretaceous limestones substratum. The data-mining used procedure allowed for emphasizing details related to morphological structures.

Keywords

Discrete wavelet analysis Landform delineation Geomorphology Digital elevation model Data-mining 

Notes

Acknowledgements

This work was founded by the Apulian Regional Government as part of the project Future in Research, Data Driven models for groundwater management and the geomorphic analysis of landscape, project number 4A46U38. The author is also grateful to Prof. Vincenzo Simeone for his advices and review of this manuscript.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Civil, Environmental and Construction Engineering and ChemistryTechnical University of BariBariItaly

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