Paper
30 December 1994 Elements of geostructural interest as derived from the analysis of different space imagery in the Phung-Chu region (Southern Tibet)
Massimo Antoninetti, Monica Pepe
Author Affiliations +
Proceedings Volume 2320, Geology from Space; (1994) https://doi.org/10.1117/12.197287
Event: Satellite Remote Sensing, 1994, Rome, Italy
Abstract
The collision between India and Eurasia at the southern margin of Tibet appears to be responsible for the active tectonics throughout much of eastern Asia. The study area, which corresponds to the Phung-Chu/Arun region in the Tibetan Himalayas, is geologically related to the brittle deformations that affected the High Himalayan Crystalline (HHC) unit and the Tethyan Himalayan Zone (THZ) in the region between the great thrusts in Nepal and the Yarlung-Tsangbo Suture Zone (YTSZ) in Tibet, characterised by right-lateral shear tectonics. The tectonic setting is mainly represented by two lineament trends: the pattern E-W (longitudinal) and N-S (transversal); the former being driven by the dextral shear displacement style of the YTSZ, according to the wrench tectonic concepts, and the latter by the tensile stress field of Quaternary age, as derived from en-echelon style. In these large and very hardly accessible areas where geographic information are missing or poor, the space imagery can be useful as a cartographic support and offer promising results in the field of geostructural analysis. Image analysis was achieved by means of a conventional Landsat-TM photoproduct (RGB=432), frame 140- 040/Q4 and several Space Shuttle-LFC stereo images, enlarged at a scale of 1:100,000.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Massimo Antoninetti and Monica Pepe "Elements of geostructural interest as derived from the analysis of different space imagery in the Phung-Chu region (Southern Tibet)", Proc. SPIE 2320, Geology from Space, (30 December 1994); https://doi.org/10.1117/12.197287
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KEYWORDS
Earth observing sensors

Data modeling

Landsat

Geology

Satellites

Image analysis

Sensors

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