A Research on Cohesion Hyperspectral Detection Model of Fine-Grained Sediments in Beichuan Debris Flow, Sichuan Province, China

Cohesion is the main inter-controlled factor for stability of fine-grained sediments in debris flow, and plays an important role flow hazard early warning. At present, there no cohesion rapid remote sensing detection model, which seriously affects development quantitative evaluation on stability. How to use quickly detect has become scientific issue. Therefore, strengthening research hyperspectral indicating its sensitive spectral bands, establishing a model between these bands are great significance not only discovering mechanism, but also gully sediments. Taking Beichuan as study area, we carried out experiments cohesion, influencing factors, spectra. Firstly, six indicated red, near infrared portions electromagnetic spectrum, including 750, 1578, 1835, 2301, 2305, 2309 nm; secondly, discover factors. Band 750 nm indicates characteristics effective internal friction angle, permeability coefficient, while other five indicate density, moisture; finally, established. With correlation coefficient 0.56, p value less than 0.001, that significant with bands. This provides detecting using sensing, basis sediments’ large areas.