EGU2020-4373, updated on 12 Jun 2020
https://doi.org/10.5194/egusphere-egu2020-4373
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Soil Water Content Variation Regression Analysis Using Hyperspectral Camera in Weathered Granite Soils

Hwan-hui Lim1, Seung-Rae Lee2, Enok Cheon3, Deukhwan Lee4, and Seungmin Lee5
Hwan-hui Lim et al.
  • 1Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of (hwanhui@kaist.ac.kr)
  • 2Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of (srlee@kaist.ac.kr)
  • 3Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of (enokjun@kaist.ac.kr)
  • 4Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of (deukhwan@kaist.ac.kr)
  • 5Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of (lsmgrrr3@kaist.ac.kr)

Soil water content is one of the most common physical parameters that cause landslides or debris flow. Therefore, it is of very importance to determine or predict the water content variation due to infiltration of rainfall quickly and non-destructively. This study investigates the hyperspectral informations in the visible near-infrared regions (VNIR, 400nm~1000nm) of different samples of granite soils possessing varying water contents. Totally 162 granite samples were taken from 3 mountain areas. A Partial Least Squares Regression (PLSR) analysis was applied to develop calibration models and prediction models.  In the water content variation prediction model, the Area of ​​Reflectance(Near-infrared, NIR) parameter was the most suitable parameter to determine the water content. The results demonstrate that the hyperspectral camera combined with the PLSR model can be a useful and non-destructive tool for the determination of soil water content variation in the weathered granite soils that could be applied to the evaluation of possible instable area in a mountain site.

How to cite: Lim, H., Lee, S.-R., Cheon, E., Lee, D., and Lee, S.: Soil Water Content Variation Regression Analysis Using Hyperspectral Camera in Weathered Granite Soils, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4373, https://doi.org/10.5194/egusphere-egu2020-4373, 2020

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