Extr action of Soil Organic Matter Information by Hyper spectr al Remote Sensing
高光谱遥感土壤有机质信息提取研究

This paper reported research conducted to document the ability of the OMIS-1(400-2500nm) reflectance sensor and the spectrophotometer ASD FieldSpec FR to predict soil organic matter(SOM) of surface soil,and correspondingly to achieve SOM mapping.Data acquired from field survey and hyperspectral airborne sensor were precessed to determine the surface soil characteristic of an agricultural area located in Dongliang village,Zhaoyuan of Shandong province.The method adopted was based on correlation and a forward stepwise multiple linear regression analysis linking SOM content.The results showed that SOM could be well evaluated by the logarithm 1st differential reflectivity using linear regression model.This model would be available for evaluating and predicting soil organic matter by spectral reflectance and would provide guidance for the management of SOM and the prediction of fertility in precision agriculture.