不同光譜變換形式對土壤有機質(zhì)偏最小二乘估算模型精度的影響
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中圖分類號 S153.621 文獻標識碼A 文章編號 1007-7731（2025）15-0089-05
DOI號 10.16377/j.cnki.issn1007-7731.2025.15.022
Influence of different spectral transformation forms on the accuracy of partial least squares estimation model of soil organic matter
ZENG Yuanwen FAN Wenwu
（Chongqing Geomatics and Remote Sensing Center， Chongqing 401147， China）
AbstractThisstudyused field-colectedsoil samplesas test subjectsto conduct experiments including soil organicmater （SOM） content determination，hyperspectral data acquisition，and preprocessing.Sixspectral transformationswereapplied to the preprocessd spectral data：absorption depth （Depth），firstderivativeof logreflectance （FD-lgR），second derivativeof log-reflectance （SD-lgR），secondderivativeof reflectance （SD-R），second derivative ofreciprocal reflectance （SD-1/R），andsecondderivativeof reciprocallog-reflectance （SD-1/lgR）.Partial least squares regression （PLSR） models for SOM estimation were establishedunder diffrent spectral transformation forms to analyze thecorrelation between spectral transformationsand SOM content，as wellas their impacton model accuracy.Theresults showed thatall6transformations exhibited bands significantlycorrelated with SOMcontent，with FD-lgRhaving the highest numberofsignificantlycorrelatedbands （71）.TheFD-lgRmodelachievedadetermination coefficient （ R2 ）of 0.995，a root mean square error of calibration （RMSEC） of 0.O63，a cross-validation R2 of 0.775，and a relative percent difference （RPD）of 2.681，allof which were among the highest values acrossall transformations.The scater plot of predicted versus measured values indicated that theFD-lgR model's estimates were close to the actual values，with an R2 of 0.872. Overall， the regression model based on FD-lgR demonstrated high accuracy and good stability.These findings provide a reference for subsequent hyperspectral data preprocessing and estimation model construction for soil organic matter.
Keywordssoil organic matter; hyperspectral; spectral transformation; partial least squares regression
土壤有機質(zhì)（Soilorganicmatter，SOM）是土壤的重要組成部分，其含量是評價土壤肥力的重要指標；也是農(nóng)作物生長的重要養(yǎng)分之一，對作物生長有顯著影響。（剩余5833字）