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Volume 30 Issue 4
Aug 2019
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Article Contents
Chengbin Wang, Jianguo Chen, Xi Chen, Jinhui Chen. Identification of Concealed Faults in a Grassland Area in Inner Mongolia, China, Using the Temperature Vegetation Dryness Index. Journal of Earth Science, 2019, 30(4): 853-860. doi: 10.1007/s12583-017-0980-9
Citation: Chengbin Wang, Jianguo Chen, Xi Chen, Jinhui Chen. Identification of Concealed Faults in a Grassland Area in Inner Mongolia, China, Using the Temperature Vegetation Dryness Index. Journal of Earth Science, 2019, 30(4): 853-860. doi: 10.1007/s12583-017-0980-9

Identification of Concealed Faults in a Grassland Area in Inner Mongolia, China, Using the Temperature Vegetation Dryness Index

doi: 10.1007/s12583-017-0980-9
Funds:

the China Geological Survey 1212011120986

the National Key R & D Program of China 2017YFC0601504

the National Key R & D Program of China 2017YFC0601500

the National Key R & D Program of China 2011BAB06B08-2

More Information
  • Corresponding author: Jianguo Chen
  • Received Date: 26 May 2017
  • Accepted Date: 20 Sep 2017
  • Publish Date: 01 Aug 2019
  • Fault identification in vegetated area (e.g., grassland) is a major challenge compared to that in outcrop areas. To identify concealed faults in a grassland covered area, a hybrid method combining the temperature vegetation dryness index (TVDI) and the singularity index was proposed in this paper to extract TVDI anomalies associated with concealed fractures in the Sonid Left Banner Grassland, Inner Mongolia, North China. In the triangle space of LST/NDVI (land surface temperature/normalized difference vegetation index), scattered points were concentrated in the areas of partial and full cover, while few data points were in the areas of bare soil with low values of NDVI and high values of LST; this result is consistent with the semiarid grassland landscape of the study area. Although TVDI imaging shows an obvious linear pattern with an NE-NNE trend, which indicates the existence of concealed faults, the surrounding background weakened and reduced the significance of the anomalies. To better delineate the concealed faults, the singularity index was employed to remove the influence of the background and enhance the TVDI anomalies associated with the concealed faults. The TVDI imaging and singularity index mapping showed NNE and NE orientations; this finding is consistent with the regional tectonic framework. Geological mapping footprints showed that the hybrid method is useful to identify concealed faults in covered areas of grassland.

     

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