福建农林大学学报（自然科学版）2017，Vol.46Issue(4)：460-467,8.DOI:10.13323/j.cnki.j.fafu(nat.sci.).2017.04.017
基于Hyperion数据的耕地土壤有机质含量遥感反演
Soil organic matter estimation models based on Hyperion data
摘要
Abstract
In order to explore the relation between arable soil organic matter content and satellite image spectrum, correlation analy-sis was conducted upon soil data from 80 sampling points in Sanming City and Hyperion hyperspectral satellite images. Then charac-teristic soil index and sensitive wavelength were subject to linear regression and stepwise multiple regression analyses. The results showed that soil organic matter content was highly response to Hyperion hyperspectral bands at wavelength of 782. 95-813. 48 nm. Fitting model based on the first derivative of reflectivity was optimal, with R2 being 0.777 and RMSE being 5.31. With R2 between the measured and predicted value of soil organic matter being 0.809, satellite image spectrum is confirmed to be an reliable indicator of soil organic content.关键词
Hyperion高光谱/土壤有机质/预测模型Key words
Hyperion hyperspectra/soil organic matter/estimation model分类
农业科技引用本文复制引用
邱壑,陈瀚阅,邢世和,张黎明,董新宇..基于Hyperion数据的耕地土壤有机质含量遥感反演[J].福建农林大学学报（自然科学版）,2017,46(4):460-467,8.基金项目
国家自然科学基金资助项目(41401399). （41401399）
