农业工程学报2011，Vol.27Issue(2)：219-223,5.DOI:10.3969/j.issn.1002-6819.2011.02.037
苏北沿海滩涂地区土壤有机质含量的高光谱预测
Hyperspectral reflectance models for predicting soil organic matter content in coastal tidal land area, northern Jiangsu
摘要
Abstract
Based on the advantage of rapid and non-destructive testing of hyperspectral reflectance compared with conventional methods, the hyperspectral models for predicting soil organic matter (SOM) content of different pedogenic time by partial least square regression (PLSR) was conducted in this study. Besides original spectra, several spectral indices were also calculated, including first derivative reflectance spectra (FDR), inverse-log spectra (lg(l/R)) and band depth (BD). The root mean square error (RMSE) and correlation coefficient (r) were used to validate the models. The results show that there is a difference in spectral indices for construct optimal model. REF is the optimal index of building PLSR model, which RMSE and r is 2.7231 and 0.8701, respectively, for predicting SOM content of overall samples. FDR and BD are better index for predicting SOM content form in millennium and century scales, r is 0.9436 and 0.8770, respectively. Correlation analysis shows that visible light region, near infrared that centered in 1 400 nm, and ranged in 1 900-2 450 nm is optimal band for predicting SOM content.关键词
土壤/有机质/模型/高光谱/沿海滩涂Key words
soils/ organic matter/ models/ hyperspectral/ coastal tidal land area分类
农业科技引用本文复制引用
徐明星,周生路,丁卫,吴绍华,吴巍..苏北沿海滩涂地区土壤有机质含量的高光谱预测[J].农业工程学报,2011,27(2):219-223,5.基金项目
土壤与农业可持续发展国家重点实验室开放基金课题(Y052010004) （Y052010004）
江苏农用地质量动态监测研究(2004LY001) （2004LY001）
