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Application of wavelet analysis to the study of spatial pattern of morphotectonic lineaments in digital terrain models. A case study

Author
JORDAN, Gyozo1 2 3 ; SCHOTT, Bertram4
[1] Geological Institute of Hungary, Budapest, Hungary
[2] Uppsala University, Institute for Earth Sciences, Uppsala, Sweden
[3] Joint Research Centre of the European Commission, Ispra, Italy
[4] University of Utrecht, Utrecht, Netherlands
Source

Remote sensing of environment. 2005, Vol 94, Num 1, pp 31-38, 8 p ; Illustration ; ref : 30 ref

CODEN
RSEEA7
ISSN
0034-4257
Scientific domain
Agronomy, agriculture, phytopathology; Ecology; Environment; Geology; Geophysics; Oceanography
Publisher
Elsevier Science, New York, NY
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Analyse Fourier Autocorrélation Densité Evaluation Faille Géologie structurale Géomorphologie Imagerie Linéament Modèle numérique terrain Modèle numérique élévation Morphologie Morphométrie Origine Pente versant Périodicité Tectonique Télédétection Vallée Variation spatiale Variogramme Bassin Kali Morphotectonique Ondelette Hongrie Europe Europe Centrale
Keyword (en)
Fourier analysis autocorrelation density evaluation faults structural geology geomorphology imagery lineaments digital terrain models digital elevation models morphology morphometry provenance slope angle periodicity tectonics remote sensing valleys spatial variations variograms Hungary Europe Central Europe
Keyword (es)
Autocorrelación Densidad Quebrado Geología estructural Geomorfología Imaginería Lineamento Morfología Origen Periodicidad Tectónico Detección a distancia Valle Variación espacial Hungría Europa Europa central
Classification
Pascal
001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01L Tectonics. Structural geology. Plate tectonics

Pascal
001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01M Internal geophysics / 001E01M04 Applied geophysics

Discipline
Earth sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16456017

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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