期刊论文

Yu Lei

中文

光谱学与光谱分析

1000-0593

2017

37

11

3537-3542

10.3964/j.issn.1000-0593(2017)11-3537-06

41401232:国家自然科学基金 41271534:国家自然科学基金 CCNU15A05006:中央高校基本科研业务费专项 CCNU15A05004:中央高校基本科研业务费专项

本校为第一且通讯机构

随着近地高光谱遥感技术的发展,为快速、有效、非破坏性地获取土壤有机质(SOM)信息提供了可能。土壤高光谱波段数据众多,光谱数据变量之间存在较为严重的多重共线性,影响模型复杂结构,而构建归一化光谱指数(NDSI)可以有效去除冗余信息变量,放大光谱特征信息。以江汉平原公安县为研究区,采集56份耕层土样,在室内获取土壤光谱数据,采用"重铬酸钾-外加热法"测定SOM含量,对实测土壤光谱数据(Raw)进行倒数之对数(LR)、一阶微分(FDR)和连续统去除(CR)三种变换,计算四种变换的NDSI数值,分析SOM与NDSI的二维相关性,并对一维、二维相关系数进行全波段范围内的p=0.001水平上显著性检验,提取敏感波段和敏感...

In recent years, proximal hyperspectral technology provides a new approach in timely, effectively and nondestructive way to detect soil organic matter (SOM). However, the hyperspectral dataset contains too many wavelengths which could lead to the collinearity, redundancy and noise to models. The Normalized Difference Spectral Index (NDSI) derived from soil spectral reflectance could enhance the relationship between spectral features and SOM, and also could eliminate the irrelevant wavelengths. In this paper, 56 topsoil samples at 0~20 cm depth were collected as research objects from Gong'an Co...