【摘要】：采集2014年陜西省乾縣黃綿土土壤樣本129個,風干過程中進行光譜反射率及水分含量測定,采用包絡線消除法提取水分吸收特征參數(shù),進行黃綿土水分含量反演。在對土壤水分含量和光譜吸收特征參數(shù)進行相關分析的基礎上,運用一元線性回歸、對數(shù)、指數(shù)、冪函數(shù)分析法,建立了土壤水分含量定量反演模型。結果表明,相關性較好的為最大吸收深度(D)、吸收總面積(A)、吸收峰右面積(R_A)和吸收峰左面積(L_A),1 900nm的光譜吸收特征參數(shù)相關性優(yōu)于1 400nm。以D_(1 900)、R_(A1 900)為自變量建立的一元線性模型和A_(1 900)、A_(1 400)為自變量建立的對數(shù)模型是最佳預測模型,其建模和驗證模型的決定系數(shù)R~2分別大于0.92和0.95,相對分析誤差值大于4,預測均方根誤差小于1.5%。
[Abstract]:129 soil samples were collected from Qianxian County of Shaanxi Province in 2014. Spectral reflectance and water content were measured in the process of air drying. The characteristic parameters of water absorption were extracted by envelope elimination method, and the moisture content of loess soil was inversed. Based on the correlation analysis of soil moisture content and spectral absorption characteristic parameters, a quantitative inversion model of soil moisture content was established by means of linear regression, logarithm, exponent and power function analysis. The results show that the correlation of the spectral absorption characteristic parameters of the maximum absorption depth (D), absorption area (A), absorption peak right area (Rass A) and the absorption peak left area (L A) 1 900nm is better than 1 400 nm. The linear model with D _ (1,900) R _ (A1 _ (900) as independent variable and the logarithmic model with A _ (1 900) A _ (1 400) as independent variables are the best prediction models. The determination coefficient Rn2 of the model is greater than 0.92 and 0.95, the relative error of analysis is greater than 4, and the root mean square error of prediction is less than 1.5.
【作者單位】： 河南科技大學農(nóng)學院;西北農(nóng)林科技大學資源環(huán)境學院;
【基金】：國家863計劃(2013AA102401-2) 河南科技大學博士科研啟動基金(13480074) 國家“十二五”科技支撐計劃(2012BAH29B04-00) 河南省科技攻關計劃(132102110210)~~
【分類號】：S152.7

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