Sensitivity of geomorphons to mapping specific landforms from a digital elevation model: A case study of drumlins.
The current paper explores the suitability of geomorphons for the automatic extraction of drumlins. To calibrate the geomorphons to the size of drumlins, it is necessary to optimally define the maximum scale of mapping, i.e., the lookup distance parameter (L). Therefore, based on the concept of topo...
| Publicado en: | Area (0004-0894) Vol. 51; no. 2; pp. 257 - 268 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Wiley-Blackwell
Jun2019
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=136238761&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 136238761 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00040894 D7Y jtl: Area (0004-0894) issn: 00040894 maglogo: Y pubinfo: dt: Jun2019 vid: 51 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 136238761 10.1111/area.12451 ppf: 257 ppct: 11 formats: tig: atl: Sensitivity of geomorphons to mapping specific landforms from a digital elevation model: A case study of drumlins. aug: au: Sărășan, Adriana Józsa, Edina Ardelean, Adrian C. Drăguț, Lucian affil: Department of Geography, West University of Timișoara, Timișoara Romania Doctoral School of Earth Sciences, University of Pécs, Pécs Hungary Department of Archaeology, National Museum of Banat, Timișoara Romania su: Drumlins Geomorphology Brain mapping Image analysis Imaging systems sug: subj: Photographic and Photocopying Equipment Manufacturing Computer Terminal and Other Computer Peripheral Equipment Manufacturing Drumlins Geomorphology Brain mapping Image analysis Imaging systems keyword: digital elevation model Eberfinger drumlin field landform mapping object‐based image analysis sensitivity analysis topographic grain digital elevation model Eberfinger drumlin field landform mapping object‐based image analysis sensitivity analysis topographic grain ab: The current paper explores the suitability of geomorphons for the automatic extraction of drumlins. To calibrate the geomorphons to the size of drumlins, it is necessary to optimally define the maximum scale of mapping, i.e., the lookup distance parameter (L). Therefore, based on the concept of topographic grain, we introduce a new automated approach for identifying the specific threshold of L (13 cells) and assessing its potential to generate consistent and accurate results in drumlin extraction. Following an object‐based image analysis (OBIA) routine, a new method for mapping and detecting drumlins is proposed. The aggregated geomorphons map was employed both as a thematic layer for image segmentation and as a first criterion for the identification of drumlin candidates. The classification results were quantitatively compared with the reference data in order to evaluate the performance of the drumlin classification, by using five additional L values (3, 50, 100, 200, 400 cells). The evaluation revealed that the highest drumlin detection rate of 91.7% was reached at an L value of 13 cells (65 m), while the lowest value of 84.3% was reached at the default value (L‐3 cells). We conclude that the use of the automated procedure for the detection of the L value is useful in achieving a rapid computation of geomorphons, which leads to consistent and accurate results in drumlin extraction. A comparison with previous OBIA methods suggests that the proposed approach produced the most accurate extraction of drumlins. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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