LITHOLOGICAL INFORMATION EXTRACTION IN MOUNTAIN CANYON REGION BASED ON MULTI-SOURCE REMOTE SENSING DATA: A CASE STUDY OF 1: 50000 PILOT GEOLOGICAL MAPPING IN BEISHAN AREA IN WUSHI, XINJIGAN

MENG Peng-yan; SUN Jie; YU Chang-chun; MU Chao; SHUAI Shuang; XIE Fei; MENG Dan

Volume 22 Issue 4

Dec. 2016

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Article Navigation > Journal of Geomechanics > 2016 > 22(4): 907-920

MENG Peng-yan, SUN Jie, YU Chang-chun, et al., 2016. LITHOLOGICAL INFORMATION EXTRACTION IN MOUNTAIN CANYON REGION BASED ON MULTI-SOURCE REMOTE SENSING DATA: A CASE STUDY OF 1: 50000 PILOT GEOLOGICAL MAPPING IN BEISHAN AREA IN WUSHI, XINJIGAN. Journal of Geomechanics, 22 (4): 907-920.

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LITHOLOGICAL INFORMATION EXTRACTION IN MOUNTAIN CANYON REGION BASED ON MULTI-SOURCE REMOTE SENSING DATA: A CASE STUDY OF 1: 50000 PILOT GEOLOGICAL MAPPING IN BEISHAN AREA IN WUSHI, XINJIGAN

1.
School of Earth Sciences, China University of Geoscience, Wuhan 430074, China
2.
China Aero Geophysical Survey & Remote Sensing Center for Land and Resources, Beijing 100083, China
3.
Hubei Institute of Land Surveying And Mapping, Wuhan 430010, China

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Received: 2000-09-16
Published: 2016-12-01

Abstract

Abstract

The location of 1:50000 pilot geological mapping program in Beishan, Wushi County, lies at the junction point of north-west margin of Tarim basin and south-west of Tianshan. According to the geomorphic characteristics of high altitude and deep negative relief, the study area belongs to alpine valley region. Based on the typical lithology spectral absorption characteristics, we carried out some research on the enhancement and absorption of lithologic differences information, and summarized a series of methods to divide the lithological units margins according to multi-source remote sensing data. On the foundation of ASTER, ASTER and SPOT6 cooperative data, ASTER and GF-2 cooperative data, we choose the best wave combination to synthesize RGB color and enhance the difference between images. And we preliminarily mark the boundaries of different image units according to the known geological data of study area. Then, the final lithology units can be interpreted by combining field survey data, realistic geological background, and geomorphic images. Thus, the study results provide reference for further optimized stratum division and comparison.
- alpine valley region,
- multi source remote sensing data,
- mineral abundance index,
- SMACC,
- lithological information extraction

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References(21)

References

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