期刊论文

Inversion of Soil Organic Matter Content Using Hyperspectral Data Based on Continuous Wavelet Transformation

Zhou Yong

中文

光谱学与光谱分析

1000-0593

2016

36

5

1428-1433

10.3964/j.issn.1000-0593(2016)05-1428-06

国家自然科学基金项目（41401232,41271534） 中央高校基本科研业务费专项（CCNU15A05006,CCNU15A05004）资助

本校为第一且通讯机构

土壤有机质含量是反映土壤肥力的重要指标,对其进行动态监测是实施精准农业的重要措施。近年来,众多学者尝试采用土壤近地传感(proximal soil sensing),尤其是近地高光谱技术,在田间和实验室获取不同形态土壤的高光谱数据,不断引入新方法建立适用于不同地域和不同土壤类型的有机质含量的反演模型。该研究在实验室内利用ASD FS3采集了土壤高光谱数据,采用“重铬酸钾-外加热法”测得了土壤有机质含量;分析了土壤原始光谱反射率(R)与有机质含量的相关性,选取R~2>0.15的敏感波段的反射率;利用CWT对土壤原始光谱反射率(R)、光谱反射率的连续统去除(CR)进行不同尺度的分解,分析小波系数与土壤有机质含...

Soil organic matter content (SOMC) is an important parameter that reflect soil fertility available for crop production, and monitoring of the SOMC dynamically has shown great importance to promote the development of precision agriculture. In recent years, many researchers have tried to use proximal soil sensing, especially using the proximal hyperspectral techniques to acquire different kinds of spectral data under the field and laboratory conditions, and various new algorithms are also introduced to build inversion models to predict SOMC from ...