ACME, a GIS tool for Automated Cirque Metric Extraction
| Autor: | Ramón Pellitero, Matteo Spagnolo, Brice R. Rea, Xavier M. Pellicer, Iestyn D. Barr, Jeremy C. Ely |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Hypsometry
geography User Friendly geography.geographical_feature_category 010504 meteorology & atmospheric sciences Landform Cirque Terrain Python (programming language) 010502 geochemistry & geophysics computer.software_genre 01 natural sciences Toolbox Data mining Digital elevation model Cartography computer Geology 0105 earth and related environmental sciences Earth-Surface Processes computer.programming_language |
| Zdroj: | Spagnolo, M, Pellitero, R, Barr, I D, Ely, J C, Pellicer, X M & Rea, B R 2017, ' ACME, a GIS tool for Automated Cirque Metric Extraction ', Geomorphology, vol. 278, pp. 280-286 . https://doi.org/10.1016/j.geomorph.2016.11.018 |
| ISSN: | 0169-555X |
| Popis: | Regional scale studies of glacial cirque metrics provide key insights on the (palaeo) environment related to the formation of these erosional landforms. The growing availability of high resolution terrain models means that more glacial cirques can be identified and mapped in the future. However, the extraction of their metrics still largely relies on time consuming manual techniques or the combination of, more or less obsolete, GIS tools. In this paper, a newly coded toolbox is provided for the automated, and comparatively quick, extraction of 16 key glacial cirque metrics; including length, width, circularity, planar and 3D area, elevation, slope, aspect, plan closure and hypsometry. The set of tools, named ACME (Automated Cirque Metric Extraction), is coded in Python, runs in one of the most commonly used GIS packages (ArcGIS) and has a user friendly interface. A polygon layer of mapped cirques is required for all metrics, while a Digital Terrain Model and a point layer of cirque threshold midpoints are needed to run some of the tools. Results from ACME are comparable to those from other techniques and can be obtained rapidly, allowing large cirque datasets to be analysed and potentially important regional trends highlighted. |
| Databáze: | OpenAIRE |
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