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A hyperspectral detection model for permeability coefficient of debris flow fine-grained sediments, Southwestern China

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摘要 Fine-grained sediments are Quaternary sediments with grain sizes of not more than 2 mm.They startfirst when meeting water,their stability is related to the initial water volume triggering debrisflow,and thus plays an important role in debrisflow hazards early warning.The permeability coefficient is the inter-controlled factor offine-grained sediment stability.However,there is no hyperspectral model for detecting thefine-grained sediment permeability coefficient in large areas,which seriously affects the progress of debrisflow hazards early warning.Therefore,it is of great significance to establish a hyperspectral detection model for the permeability coefficient offine-grained sediments.Taking Beichuan County,Southwestern China as the case,a permeability coefficient hyperspectral detection model was established.The results show that eight bands are sensitive to the permeability coefficient with correlation coefficient(R)of 0.6343.T-test on the model shows that P-a values for sensitive bands are all less than 0.05,indicating the established model has a good prediction ability with a precision of 85.83%.These sensitive bands also indicate the spectral characteristics of the permeability coefficient.Therefore,it provides a scientific basis forfine-grained sediment stability detection in large areas and lays a theoretical foundation for debrisflow hazards’early warning.
出处 《International Journal of Digital Earth》 SCIE EI 2023年第1期1589-1606,共18页 国际数字地球学报(英文)
基金 funded in part by the Innovative Research Program of the International Research Center of Big Data for Sustainable Development Goals[grant number CBAS2022IRP03] the National Natural Science Foundation of China[grant number 42071312] the Hainan Hundred Special Project[grant number 31,JTT[2018]].
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