DOI: 10.1016/j.jag.2017.05.011
Scopus记录号: 2-s2.0-85032229059
论文题名: Geolokit: An interactive tool for visualising and exploring geoscientific data in Google Earth
作者: Triantafyllou A ; , Watlet A ; , Bastin C
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 62 起始页码: 39
结束页码: 46
语种: 英语
英文关键词: GIS
; Spatial data visualisation
; Structural geology
; Teaching geology
; Virtual globe
Scopus关键词: digital elevation model
; GIS
; image resolution
; Internet
; satellite imagery
; spatial data
; structural geology
; visualization
; World Wide Web
; France
; Mariana Trough
; Pacific Ocean
英文摘要: Virtual globes have been developed to showcase different types of data combining a digital elevation model and basemaps of high resolution satellite imagery. Hence, they became a standard to share spatial data and information, although they suffer from a lack of toolboxes dedicated to the formatting of large geoscientific dataset. From this perspective, we developed Geolokit: a free and lightweight software that allows geoscientists – and every scientist working with spatial data – to import their data (e.g., sample collections, structural geology, cross-sections, field pictures, georeferenced maps), to handle and to transcribe them to Keyhole Markup Language (KML) files. KML files are then automatically opened in the Google Earth virtual globe and the spatial data accessed and shared. Geolokit comes with a large number of dedicated tools that can process and display: (i) multi-points data, (ii) scattered data interpolations, (iii) structural geology features in 2D and 3D, (iv) rose diagrams, stereonets and dip-plunge polar histograms, (v) cross-sections and oriented rasters, (vi) georeferenced field pictures, (vii) georeferenced maps and projected gridding. Therefore, together with Geolokit, Google Earth becomes not only a powerful georeferenced data viewer but also a stand-alone work platform. The toolbox (available online at http://www.geolokit.org) is written in Python, a high-level, cross-platform programming language and is accessible through a graphical user interface, designed to run in parallel with Google Earth, through a workflow that requires no additional third party software. Geolokit features are demonstrated in this paper using typical datasets gathered from two case studies illustrating its applicability at multiple scales of investigation: a petro-structural investigation of the Ile d'Yeu orthogneissic unit (Western France) and data collection of the Mariana oceanic subduction zone (Western Pacific). © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79964
Appears in Collections: 气候变化事实与影响
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作者单位: Laboratoire de Planétologie et Géodynamique — Nantes (LPGN), UFR Sciences et Techniques, Université de Nantes, UMR-CNRS 6112, 2, Rue de la Houssinière, BP92208, Nantes, France; Geology & Applied Geology Unit — Mining Geology, Université de Mons, 20, Place du Parc, Mons, Belgium; Royal Observatory of Belgium, Seismology-Gravimetry, 3, Avenue Circulaire, Bruxelles, Belgium
Recommended Citation:
Triantafyllou A,, Watlet A,, Bastin C. Geolokit: An interactive tool for visualising and exploring geoscientific data in Google Earth[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,62