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Remote Sensing for Land & Resources    2019, Vol. 31 Issue (3) : 166-173     DOI: 10.6046/gtzyyg.2019.03.21
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Application of the theory of structural hierarchy to the remote sensing geology
Jianyu LIU1,2, Ling CHEN2(), Wei LI2, Genhou WANG1, Bo WANG1
1. School of Earth Sciences and Resources, China University of Geoscience, Beijing 100083, China
2. China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China
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Abstract  

It is difficult to identify the relative ages of lithological units only relying on remote sensing images with few reference data. In case of lack of geological references and difficult fieldwork, it is limited to use remote sensing images for interpretation. To solve these problems, the authors firstly introduced the theory of structural hierarchy to geological interpretation and presented a new method to classify the regional structures and small-scale structures extracted from OLI and GF-2 data respectively. To some extent, this method can determine the relative ages of the lithological units, the events of tectonic evolution and the advantageous areas for metallogenesis in the areas with only a few geological reference data. And it provides a new way for exploiting the advantages of high ground resolution of GF-2 so as to promote the development of remote sensing geology in foreign areas.
Keywords Structure hierarchy      GF-2      interpretation of structures      remote sensing geological survey     
:  TP79  
Corresponding Authors: Ling CHEN     E-mail: chenling010@126.com
Issue Date: 30 August 2019
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Jianyu LIU
Ling CHEN
Wei LI
Genhou WANG
Bo WANG
Cite this article:   
Jianyu LIU,Ling CHEN,Wei LI, et al. Application of the theory of structural hierarchy to the remote sensing geology[J]. Remote Sensing for Land & Resources, 2019, 31(3): 166-173.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2019.03.21     OR     https://www.gtzyyg.com/EN/Y2019/V31/I3/166
Fig.1  Sketch regional geological map of the Beishan orogenic belt and the location of the study area (modified after reference [8])
Fig.2  Sketch geological map of the study area
传感器 波段序号 波长范围/μm 空间分辨率/m 幅宽/km
OLI 8(Pan) 0.500~0.680 15 185
1 0.433~0.453 30
2 0.450~0.515
3 0.525~0.600
4 0.630~0.680
5 0.850~0.880
6 1.560~1.660
7 2.100~2.300
9 1.360~1.390
GF-2 Pan 0.450~0.900 0.81 45
1 0.450~0.520 3.24
2 0.520~0.590
3 0.630~0.690
4 0.770~0.890
Tab.1  Parameters of OLI data and GF-2 data
Fig.3  Images of GF-2 and OLI FLAASH after atmospheric correction
Fig.4  Images composited with B2(R),B1(G),B5(B) after MNF transformation
Fig.5  Detailed interpretation of GF-2 image
构造层次 构造类型
上部构造层次 NE,NW向脆性断裂
中部构造层次 等厚褶皱
下部构造层次上层 劈理、韧性断裂、顶厚褶皱
下部构造层次下层 揉流褶皱
Tab.2  Classification of the structures recognized in the study area
Fig.6  Structure classification based on the theory of structural hierarchy
Fig.7  Photographs taken in the field
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