Soil Water Content Regression Analysis of Measurement Data from Hyperspectral Camera in Weathered Granite Soils

Soil water content is one of the most common physical parameters that cause landslides or debris flow. Therefore, it very importance to determine predict quickly and non-destructively. This study investigates hyperspectral information in visible near-infrared regions (VNIR) different samples granite soils possessing varying content. Totally 162 were taken from each mountain area. The with contents examined using a radiometer operating 400~1000nm range by obtaining spectral curves. It was found variation VNIR consistent weathered soils, camera able detect it. A Partial Least Squares Regression (PLSR) analysis applied develop calibration-model. PLSR model resulted good correlation between profile. results demonstrate combined can be useful non-destructive tool for determining soil soils.