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A remote sensing technique for identifying geometry and geomorphological features of the Indo-Burman frontal fold belt.
- Source :
-
International Journal of Remote Sensing . 8/20/2010, Vol. 31 Issue 16, p4481-4503. 23p. 1 Color Photograph, 14 Maps. - Publication Year :
- 2010
-
Abstract
- Satellite images are capable of displaying prominently the geometry and morphology of folds, especially when these have large spatial extent. The frontal part of the Indo-Burman fold belt, falling in parts of Bangladesh and north-east India, has developed into exemplary linear N-S oriented doubly plunging folds in late Tertiary sedimentary rock sequences and are arranged in a set of alternating ridge-forming anticlines and valley-forming synclines. Formation of these folds is attributed to E-W oriented compressional tectonics resulting out of eastward subduction of the Indian plate below the Burmese plate. Fold types present in the area appear to be simple but the present fold geometrical arrangement reveal some interesting features. The 90-m SRTM-DEM (Shuttle Radar Topographic Mission-Digital Elevation Model), remote sensing techniques, principal component analysis and resolution merging were used to understand the geometry and morphology of the folds covering a large area, through comparative assessment and enhancement of the structural features. This study includes identification of: multi-folds within a visibly single entity; the overlapping nature of folds and the interrelation between anticlines; the geometry of fold noses; fault-affected fold limbs causing bulging; and anticline bifurcation and formation of elliptical and cuspate synclines; as well as recognition of exposed eroded-out folded layers of the anticline and the effect of deformation and faulting. The doubly plunging nature of the folds and higher topography at the middle latitudes of the study area could have formed due to up-arching tectonic activity. [ABSTRACT FROM AUTHOR]
- Subjects :
- *REMOTE sensing
*GEOMORPHOLOGICAL research
*FOLDS (Geology)
Subjects
Details
- Language :
- English
- ISSN :
- 01431161
- Volume :
- 31
- Issue :
- 16
- Database :
- Academic Search Index
- Journal :
- International Journal of Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 53564504
- Full Text :
- https://doi.org/10.1080/01431160903154366