Relative elevation modelling of Linyi district and applications for the study of active faults

Yongjin Ni; Hongwei Wang; Hongtai Xu; Ping Chen; Xiangsuo Song; Shengxian Du

doi:10.1117/12.3032263

3 June 2024 Relative elevation modelling of Linyi district and applications for the study of active faults

Yongjin Ni, Hongwei Wang, Hongtai Xu, Ping Chen, Xiangsuo Song, Shengxian Du

Proceedings Volume 13170, International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2024); 1317009 (2024) https://doi.org/10.1117/12.3032263
Event: Third International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2024), 2024, Wuhan, China

Abstract

The digital elevation model (DEM) is usually created based on a single vertical datum located at mean sea level. In most cases, however, the elevations of natural plains are trend downward (mostly toward the sea, quickly or slowly), which obscures the relationship between the natural descent and the subminiature terrain caused by tectonic. To remove this trend, relative elevation model (REM) was developed, which subtracted floodplain surface from DEM. The traditional method is limited to high resolution DEM, however, and is usually used in narrow band areas. Using medium-low resolution DEM, this paper presents a technique to create REM based on multi-rivers. This technique consists of three steps, namely finding rivers, calculating the trend and subtracting the trend from DEM. This technique was applied to the study area of Linyi district, Shandong, China. There is a great agreement between REMs and the location of faults, which means this technique is helpful to the study of subminiature terrain and active tectonics.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yongjin Ni, Hongwei Wang, Hongtai Xu, Ping Chen, Xiangsuo Song, and Shengxian Du "Relative elevation modelling of Linyi district and applications for the study of active faults", Proc. SPIE 13170, International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2024), 1317009 (3 June 2024); https://doi.org/10.1117/12.3032263

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KEYWORDS

Remote sensing

Interpolation

Modeling

Earthquakes

Raster graphics

Reflection

Roads

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