ACME2: An Extended Toolbox for Automated Cirque Metrics Extraction

Yingkui Liu; Ian S. Evans; Matteo Spagnolo; Ramón Pellitero; Iestyn D. Barr; Jeremy C.  Ely

doi:10.1016/j.geomorph.2023.108982

ACME2: An Extended Toolbox for Automated Cirque Metrics Extraction

Yingkui Liu^* (Corresponding Author)
, Ian S. Evans
, Matteo Spagnolo
, Ramón Pellitero
, Iestyn D. Barr
, Jeremy C. Ely

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

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Abstract

With the availability of improved digital elevation models (DEMs) of global coverage, the morphological analysis of large populations of glacial cirques is possible, and can be used to derive important palaeoclimate and environmental information related to the distribution and history of former glaciers. In 2017, an ArcGIS toolbox, ACME (Automated Cirque Metrics Extraction), was developed to derive 16 cirque metrics based on input cirque outlines, threshold midpoints and DEMs. ACME has been widely used in cirque morphological analysis and regional comparisons. This paper presents a revised and extended toolbox, ACME2. This extended toolbox includes new functions to automatically derive cirque threshold midpoints (cirque foci) and 49 morphometric and locational variables, with attributes related to cirque location, size, shape, altitude, slope, and aspect, including variables related to the median axis, as well as 3 input metadata attributes. ACME2 also improves the methods for calculation of the hypsometric maximum and integral, and implements a new method for plan closure to be more consistent with the original definition. All ACME2 tools are coded in Python and can be imported into ArcGIS with user-friendly interfaces. Comparisons for 155 cirques in the English Lake District and 51 in the Shulaps Range, British Columbia, indicate consistency between the ACME2-derived and manually derived metrics, with most correlations r > 0.90: none

Original language	English
Article number	108982
Number of pages	12
Journal	Geomorphology
Volume	445
Early online date	25 Nov 2023
DOIs	https://doi.org/10.1016/j.geomorph.2023.108982
Publication status	Published - 15 Jan 2024

Bibliographical note

Acknowledgements:
522 This study was supported by the National Natural Science Foundation of China (No. 41971075). 523 JCE acknowledges support from a NERC independent fellowship (NE/R014574/1). We thank the editor and two anonymous reviewers for their helpful comments and suggestions.

Keywords

cirques
morphometric analysis
palaeo-climate
ACME
ACME2

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Cite this

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title = "ACME2: An Extended Toolbox for Automated Cirque Metrics Extraction",

abstract = "With the availability of improved digital elevation models (DEMs) of global coverage, the morphological analysis of large populations of glacial cirques is possible, and can be used to derive important palaeoclimate and environmental information related to the distribution and history of former glaciers. In 2017, an ArcGIS toolbox, ACME (Automated Cirque Metrics Extraction), was developed to derive 16 cirque metrics based on input cirque outlines, threshold midpoints and DEMs. ACME has been widely used in cirque morphological analysis and regional comparisons. This paper presents a revised and extended toolbox, ACME2. This extended toolbox includes new functions to automatically derive cirque threshold midpoints (cirque foci) and 49 morphometric and locational variables, with attributes related to cirque location, size, shape, altitude, slope, and aspect, including variables related to the median axis, as well as 3 input metadata attributes. ACME2 also improves the methods for calculation of the hypsometric maximum and integral, and implements a new method for plan closure to be more consistent with the original definition. All ACME2 tools are coded in Python and can be imported into ArcGIS with user-friendly interfaces. Comparisons for 155 cirques in the English Lake District and 51 in the Shulaps Range, British Columbia, indicate consistency between the ACME2-derived and manually derived metrics, with most correlations r > 0.90: none",

keywords = "cirques, morphometric analysis, palaeo-climate, ACME, ACME2",

author = "Yingkui Liu and Evans, \{Ian S.\} and Matteo Spagnolo and Ram{\'o}n Pellitero and Barr, \{Iestyn D.\} and Ely, \{Jeremy C.\}",

note = "Acknowledgements: 522 This study was supported by the National Natural Science Foundation of China (No. 41971075). 523 JCE acknowledges support from a NERC independent fellowship (NE/R014574/1). We thank the editor and two anonymous reviewers for their helpful comments and suggestions. ",

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AU - Barr, Iestyn D.

AU - Ely, Jeremy C.

N1 - Acknowledgements: 522 This study was supported by the National Natural Science Foundation of China (No. 41971075). 523 JCE acknowledges support from a NERC independent fellowship (NE/R014574/1). We thank the editor and two anonymous reviewers for their helpful comments and suggestions.

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N2 - With the availability of improved digital elevation models (DEMs) of global coverage, the morphological analysis of large populations of glacial cirques is possible, and can be used to derive important palaeoclimate and environmental information related to the distribution and history of former glaciers. In 2017, an ArcGIS toolbox, ACME (Automated Cirque Metrics Extraction), was developed to derive 16 cirque metrics based on input cirque outlines, threshold midpoints and DEMs. ACME has been widely used in cirque morphological analysis and regional comparisons. This paper presents a revised and extended toolbox, ACME2. This extended toolbox includes new functions to automatically derive cirque threshold midpoints (cirque foci) and 49 morphometric and locational variables, with attributes related to cirque location, size, shape, altitude, slope, and aspect, including variables related to the median axis, as well as 3 input metadata attributes. ACME2 also improves the methods for calculation of the hypsometric maximum and integral, and implements a new method for plan closure to be more consistent with the original definition. All ACME2 tools are coded in Python and can be imported into ArcGIS with user-friendly interfaces. Comparisons for 155 cirques in the English Lake District and 51 in the Shulaps Range, British Columbia, indicate consistency between the ACME2-derived and manually derived metrics, with most correlations r > 0.90: none

AB - With the availability of improved digital elevation models (DEMs) of global coverage, the morphological analysis of large populations of glacial cirques is possible, and can be used to derive important palaeoclimate and environmental information related to the distribution and history of former glaciers. In 2017, an ArcGIS toolbox, ACME (Automated Cirque Metrics Extraction), was developed to derive 16 cirque metrics based on input cirque outlines, threshold midpoints and DEMs. ACME has been widely used in cirque morphological analysis and regional comparisons. This paper presents a revised and extended toolbox, ACME2. This extended toolbox includes new functions to automatically derive cirque threshold midpoints (cirque foci) and 49 morphometric and locational variables, with attributes related to cirque location, size, shape, altitude, slope, and aspect, including variables related to the median axis, as well as 3 input metadata attributes. ACME2 also improves the methods for calculation of the hypsometric maximum and integral, and implements a new method for plan closure to be more consistent with the original definition. All ACME2 tools are coded in Python and can be imported into ArcGIS with user-friendly interfaces. Comparisons for 155 cirques in the English Lake District and 51 in the Shulaps Range, British Columbia, indicate consistency between the ACME2-derived and manually derived metrics, with most correlations r > 0.90: none

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M1 - 108982

ER -

ACME2: An Extended Toolbox for Automated Cirque Metrics Extraction

Abstract

Bibliographical note

Keywords

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