期刊论文

Using Orthogonal Signal Correction Algorithm Removing the Effects of Soil Moisture on Hyperspectral Reflectance to Estimate Soil Organic Matter

中文

中国农业科学

0578-1752

2017

50

19

3766-3777

10.3864/j.issn.0578-1752.2017.19.013

41401232:国家自然科学基金 CCNU15A05006:中央高校基本科研业务费专项 2016CXZZ15:华中师范大学研究生教育创新资助项目

本校为第一机构

【目的】快速、准确地监测土壤有机质对于精准农业的发展具有重要意义。可见光-近红外(visible and near-infrared,Vis-NIR)光谱技术在土壤属性估算、数字化土壤制图等方面应用较为广泛,然而,在田间进行光谱测量,易受土壤含水量(soil moisture,SM)、温度、土壤表面状况等因素的影响,导致光谱信息中包含大量干扰信息,其中,SM变化是影响光谱观测结果最为显著的因素之一。此研究的目的是探讨OSC算法消除其影响,提升Vis-NIR光谱定量估算土壤有机质(soil organic matter,SOM)的精度。【方法】以江汉平原公安县和潜江市为研究区域,采集217份耕层(0-20 cm)土壤样本,进行风干、研磨、过筛等处理,采用重铬...

[Objective] Rapid and accurate quantitative analysis of soil organic matter is essential for sustainable development of precision agriculture. Visible and near-infrared (Vis-NIR) reflectance spectroscopy has been widely used for soil properties estimation and digital soil mapping. However, it is less exact in monitoring soil organic matter (SOM) in the field when compared to laboratory-based spectroscopic measurement mainly due to some factors, such as soil moisture, temperature, and soil surface texture. Among these three factors, soil moisture (SM) has the most pronounced effects on spectral...