干旱地区农业研究2013，Vol.31Issue(2)：241-246,6.
基于野外实测高光谱数据的干旱区耕作土壤含水量反演研究
Inversion models of soil water content using hyperspectral measurements in fields of the arid region farmland
摘要
Abstract
The quantitative relationships between soil water contents and hyperspectral reflectances in the southern Xinjiang farmland were studied based on hyperspectral measurements in fields in march of 2011 . Prediction equations of soil water content were established using simple linear regression and stepwise multiple regression methods. Soil water contents were negatively related with spectral reflectances (SC) and its various transformations such as reciprocal of SC (1/SC), logSC, first order differential of SC. Correlation coefficients of prediction equations based on 50 soil samples were significant at p < 0.01. An independent validation set of 37 soils showed that the stepwise multiple regression equation in which reciprocal of SC at 698nm,702nm,703nm,746nm and 747nm were defined as independent factors is the best model for fitting to the data of soil water content suggesting that the regression developed can accurately assess soil water content using hyperspectral measurements in fields.关键词
高光谱/草甸土/含水量/模型Key words
hyperspectral/ meadow soil/ water content/ model分类
农业科技引用本文复制引用
彭杰,向红英,王家强,柳维扬,迟春明,牛建龙..基于野外实测高光谱数据的干旱区耕作土壤含水量反演研究[J].干旱地区农业研究,2013,31(2):241-246,6.基金项目
国家自然科学基金项目(41061031、41261083、41161048、41161037) （41061031、41261083、41161048、41161037）
兵团青年科技创新资金专项(2012CB020) （2012CB020）
塔里木大学硕士基金项目(TDZKSS201101) （TDZKSS201101）
