Geometric attribute and shape characterization of modern depositional elements

A quantitative GIS method for empirical analysis

Björn Nyberg*, Simon J. Buckley, John A. Howell, Rachel A. Nanson

*Corresponding author for this work

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The recent rise in the quality and availability of remote sensing data has benefitted the geoscience community by allowing high resolution studies of the geometry of modern clastic depositional elements, which are analogous to the elements that control fluid flow in subsurface reservoirs. Established methods used to describe the geometry of these features have been predominantly subjective. We present a new objective technique to automate the characterization of centerline attributes (CA) of mapped depositional elements. This technique measures key parameters at a defined sampling interval along a calculated centerline for each input shape, which are automatically analyzed to define geometric shape, length, width, sinuosity, adjacency and centerline deviation. To demonstrate the applicability of the method to a range of depositional environments, mapped sandbodies from two contrasting modern systems were analyzed: (1) the 520km2 mixed-process Mitchell River Delta, Gulf of Carpentaria, Australia; (2) a 1200km reach of the anabranching Congo River, Democratic Republic of the Congo.1696 Wave- and fluvial-derived elements from the Mitchell Delta were analyzed using our CA method and the conventional minimum bounding box (MBB) approach. The MBB results defined the regression slopes as 1.25-4.47 times wider and 0.31-0.97 times shorter than their CA values. Results applied to 2221 mid-channel bar elements in the Congo River showed similar CA and MBB relationships, with linear regression slopes of a MBB as 1.06 times wider and 0.97 times shorter. The inconsistency in the comparative MBB and CA results for these two datasets is attributed to the very different geometries of the sandbodies in these contrasting depositional environments. This suggests that caution should be exercised when applying current methods. A major benefit of the proposed CA method is that it allows quantitative study at scales and levels of detail typically not practical using manual solutions.

Original languageEnglish
Pages (from-to)191-204
Number of pages14
JournalComputers & Geosciences
Volume82
Early online date22 Jun 2015
DOIs
Publication statusPublished - 1 Sep 2015

Fingerprint

empirical analysis
Geographic information systems
Rivers
GIS
Geometry
Linear regression
geometry
depositional environment
Flow of fluids
Remote sensing
river
Availability
Sampling
fluid flow
attribute
method
remote sensing
sampling

ASJC Scopus subject areas

  • Information Systems
  • Computers in Earth Sciences

Cite this

Geometric attribute and shape characterization of modern depositional elements : A quantitative GIS method for empirical analysis. / Nyberg, Björn; Buckley, Simon J.; Howell, John A.; Nanson, Rachel A.

In: Computers & Geosciences, Vol. 82, 01.09.2015, p. 191-204.

Research output: Contribution to journalArticle

@article{42da289a0ae84912a5bd5f97fe08358f,
title = "Geometric attribute and shape characterization of modern depositional elements: A quantitative GIS method for empirical analysis",
abstract = "The recent rise in the quality and availability of remote sensing data has benefitted the geoscience community by allowing high resolution studies of the geometry of modern clastic depositional elements, which are analogous to the elements that control fluid flow in subsurface reservoirs. Established methods used to describe the geometry of these features have been predominantly subjective. We present a new objective technique to automate the characterization of centerline attributes (CA) of mapped depositional elements. This technique measures key parameters at a defined sampling interval along a calculated centerline for each input shape, which are automatically analyzed to define geometric shape, length, width, sinuosity, adjacency and centerline deviation. To demonstrate the applicability of the method to a range of depositional environments, mapped sandbodies from two contrasting modern systems were analyzed: (1) the 520km2 mixed-process Mitchell River Delta, Gulf of Carpentaria, Australia; (2) a 1200km reach of the anabranching Congo River, Democratic Republic of the Congo.1696 Wave- and fluvial-derived elements from the Mitchell Delta were analyzed using our CA method and the conventional minimum bounding box (MBB) approach. The MBB results defined the regression slopes as 1.25-4.47 times wider and 0.31-0.97 times shorter than their CA values. Results applied to 2221 mid-channel bar elements in the Congo River showed similar CA and MBB relationships, with linear regression slopes of a MBB as 1.06 times wider and 0.97 times shorter. The inconsistency in the comparative MBB and CA results for these two datasets is attributed to the very different geometries of the sandbodies in these contrasting depositional environments. This suggests that caution should be exercised when applying current methods. A major benefit of the proposed CA method is that it allows quantitative study at scales and levels of detail typically not practical using manual solutions.",
author = "Bj{\"o}rn Nyberg and Buckley, {Simon J.} and Howell, {John A.} and Nanson, {Rachel A.}",
note = "Acknowledgements This work has been funded by the FORCE Sedimentology and Stratigraphy Group and the Norwegian Petroleum Directorate as part of Phase 2 of the SAFARI program. Two anonymous reviewers and the handling editor are thanked for their constructive input, which helped improve the manuscript.",
year = "2015",
month = "9",
day = "1",
doi = "10.1016/j.cageo.2015.06.003",
language = "English",
volume = "82",
pages = "191--204",
journal = "Computers & Geosciences",
issn = "0098-3004",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Geometric attribute and shape characterization of modern depositional elements

T2 - A quantitative GIS method for empirical analysis

AU - Nyberg, Björn

AU - Buckley, Simon J.

AU - Howell, John A.

AU - Nanson, Rachel A.

N1 - Acknowledgements This work has been funded by the FORCE Sedimentology and Stratigraphy Group and the Norwegian Petroleum Directorate as part of Phase 2 of the SAFARI program. Two anonymous reviewers and the handling editor are thanked for their constructive input, which helped improve the manuscript.

PY - 2015/9/1

Y1 - 2015/9/1

N2 - The recent rise in the quality and availability of remote sensing data has benefitted the geoscience community by allowing high resolution studies of the geometry of modern clastic depositional elements, which are analogous to the elements that control fluid flow in subsurface reservoirs. Established methods used to describe the geometry of these features have been predominantly subjective. We present a new objective technique to automate the characterization of centerline attributes (CA) of mapped depositional elements. This technique measures key parameters at a defined sampling interval along a calculated centerline for each input shape, which are automatically analyzed to define geometric shape, length, width, sinuosity, adjacency and centerline deviation. To demonstrate the applicability of the method to a range of depositional environments, mapped sandbodies from two contrasting modern systems were analyzed: (1) the 520km2 mixed-process Mitchell River Delta, Gulf of Carpentaria, Australia; (2) a 1200km reach of the anabranching Congo River, Democratic Republic of the Congo.1696 Wave- and fluvial-derived elements from the Mitchell Delta were analyzed using our CA method and the conventional minimum bounding box (MBB) approach. The MBB results defined the regression slopes as 1.25-4.47 times wider and 0.31-0.97 times shorter than their CA values. Results applied to 2221 mid-channel bar elements in the Congo River showed similar CA and MBB relationships, with linear regression slopes of a MBB as 1.06 times wider and 0.97 times shorter. The inconsistency in the comparative MBB and CA results for these two datasets is attributed to the very different geometries of the sandbodies in these contrasting depositional environments. This suggests that caution should be exercised when applying current methods. A major benefit of the proposed CA method is that it allows quantitative study at scales and levels of detail typically not practical using manual solutions.

AB - The recent rise in the quality and availability of remote sensing data has benefitted the geoscience community by allowing high resolution studies of the geometry of modern clastic depositional elements, which are analogous to the elements that control fluid flow in subsurface reservoirs. Established methods used to describe the geometry of these features have been predominantly subjective. We present a new objective technique to automate the characterization of centerline attributes (CA) of mapped depositional elements. This technique measures key parameters at a defined sampling interval along a calculated centerline for each input shape, which are automatically analyzed to define geometric shape, length, width, sinuosity, adjacency and centerline deviation. To demonstrate the applicability of the method to a range of depositional environments, mapped sandbodies from two contrasting modern systems were analyzed: (1) the 520km2 mixed-process Mitchell River Delta, Gulf of Carpentaria, Australia; (2) a 1200km reach of the anabranching Congo River, Democratic Republic of the Congo.1696 Wave- and fluvial-derived elements from the Mitchell Delta were analyzed using our CA method and the conventional minimum bounding box (MBB) approach. The MBB results defined the regression slopes as 1.25-4.47 times wider and 0.31-0.97 times shorter than their CA values. Results applied to 2221 mid-channel bar elements in the Congo River showed similar CA and MBB relationships, with linear regression slopes of a MBB as 1.06 times wider and 0.97 times shorter. The inconsistency in the comparative MBB and CA results for these two datasets is attributed to the very different geometries of the sandbodies in these contrasting depositional environments. This suggests that caution should be exercised when applying current methods. A major benefit of the proposed CA method is that it allows quantitative study at scales and levels of detail typically not practical using manual solutions.

UR - http://www.scopus.com/inward/record.url?scp=84933520363&partnerID=8YFLogxK

U2 - 10.1016/j.cageo.2015.06.003

DO - 10.1016/j.cageo.2015.06.003

M3 - Article

VL - 82

SP - 191

EP - 204

JO - Computers & Geosciences

JF - Computers & Geosciences

SN - 0098-3004

ER -