Quantitative Analyses of Morphological Data

Philippe Blondel

doi:10.1007/978-3-319-57852-1_5

Quantitative Analyses of Morphological Data

Philippe Blondel

Research output: Chapter or section in a book/report/conference proceeding › Chapter or section

2 Citations (SciVal)

Abstract

Submarine morphologies are complex and analysed based on shapes, dimensions and internal variations. They are also analysed based on their surroundings. This chapter starts by comparing the sensors providing this information: most of them are based on remote sensing (acoustic/electromagnetic). They produce Digital Terrain Models (DTMs), corresponding to regularly sampled (and/or interpolated) grids. Illustrated with regular examples, the chapter shows the basic measurements used to describe and compare morphologic data, their variations with multi-scale approaches (e.g. Fourier space, fractals) and how this can be used to identify trends and patterns. Geographic Information Systems and the emerging applications of Artificial Intelligence and data mining are also presented.

Original language	English
Title of host publication	Submarine Geomorphology
Editors	Aaron Micallef, Sebastian Krastel, Alessandra Savini
Place of Publication	New York
Publisher	Springer Nature
Pages	63-74
ISBN (Electronic)	978-3-319-57852-1
ISBN (Print)	978-3-319-57851-4
DOIs	https://doi.org/10.1007/978-3-319-57852-1_5
Publication status	Published - 2017

Publication series

Name	Springer Geology book series
Publisher	Springer
ISSN (Print)	2197-9545
ISSN (Electronic)	2197-9553

Keywords

sonar
underwater acoustics
habitat mapping
Quantitative analysis

ASJC Scopus subject areas

Acoustics and Ultrasonics
Geophysics
Geology

Access to Document

10.1007/978-3-319-57852-1_5

Cite this

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T1 - Quantitative Analyses of Morphological Data

AU - Blondel, Philippe

PY - 2017

Y1 - 2017

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AB - Submarine morphologies are complex and analysed based on shapes, dimensions and internal variations. They are also analysed based on their surroundings. This chapter starts by comparing the sensors providing this information: most of them are based on remote sensing (acoustic/electromagnetic). They produce Digital Terrain Models (DTMs), corresponding to regularly sampled (and/or interpolated) grids. Illustrated with regular examples, the chapter shows the basic measurements used to describe and compare morphologic data, their variations with multi-scale approaches (e.g. Fourier space, fractals) and how this can be used to identify trends and patterns. Geographic Information Systems and the emerging applications of Artificial Intelligence and data mining are also presented.

KW - sonar

KW - underwater acoustics

KW - habitat mapping

KW - Quantitative analysis

UR - https://doi.org/10.1007/978-3-319-57852-1_5

U2 - 10.1007/978-3-319-57852-1_5

DO - 10.1007/978-3-319-57852-1_5

M3 - Chapter or section

SN - 978-3-319-57851-4

T3 - Springer Geology book series

SP - 63

EP - 74

BT - Submarine Geomorphology

A2 - Micallef, Aaron

A2 - Krastel, Sebastian

A2 - Savini, Alessandra

PB - Springer Nature

CY - New York

ER -

Quantitative Analyses of Morphological Data

Abstract

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Keywords

ASJC Scopus subject areas

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