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Volume 38 Issue 5
Oct.  2019
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Article Navigation >  CARSOLOGICA SINICA  > 2019  >  38(5): 774-784
HUANG Liang, ZHAO Weiquan, LYU Sisi, YANG Jiafang, SU Weici. Study on the relationship between spatial distribution of karst caves and drainage density: An example of Guizhou Province[J]. CARSOLOGICA SINICA, 2020, 39(1): 127-136. doi: 10.11932/karst2020y02
Citation: PAN Ming, HAO Yanzhen, LYU Yong, SU Guangyang. Application of remote sensing image based on the Ovi map to 1∶50,000 geological mapping in the Weixin area[J]. CARSOLOGICA SINICA, 2019, 38(5): 774-784. doi: 10.11932/karst20190514
shu

Application of remote sensing image based on the Ovi map to 1∶50,000 geological mapping in the Weixin area

doi: 10.11932/karst20190514

  • Institute of Karst Geology, CAGS/Key Laboratory of Karst Dynamics, MNR&GZAR, Guilin, Guangxi 541004, China

  • Publish Date: 2019-10-25
    Abstract
  • The Weixin area is located in northeastern Yunnan, near the junction of Yunnan, Guizhou and Sichuan provinces， hosting Jurassic mountain-type folds. The rocks in the area are dominated by sedimentary rock formations which host the backbone of the Jurassic mountain-type folding structures. Because of distinct mechanical properties and weathering degree of the rocks, there are obvious differences in the manifestation of the rock assemblages on remote sensing imagery. The purpose of this paper is to explore the feasibility of applying Ovi remote sensing images and their interpretation to geological mapping in special geomorphic areas. Taking lithostratigraphic units, geomorphic types and linear structures of different ages into account, we use the Ovi remotely sensed data of different scales to conducted geological interpretation. Moreover, the remote sensing image characteristics of specific strata, rocks and structures in this area were then validated through field observation. Based on the results from the imagery interpretation, we could reasonably perform the layout of mapping routes, prediction of lithological changes, division of karst landform types and the preparation of geological maps. This work demonstrates that using the interpretation of remote sensing images on the Ovi map permits to delineate high-precision geological boundaries which can meet the requirements of 1∶50,000 regional geological mapping.

     

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