期刊论文

Hyperspectral Features and Wavelength Variables Selection Methods of Soil Organic Matter

中文

中国农业科学

0578-1752

2017

50

22

4325-4337

10.3864/j.issn.0578-1752.2017.22.009

41401232:国家自然科学基金 CCNU15A05006:中央高校基本科研业务费专项 2017CXZZ007: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】探究土壤有机质的高光谱特征及响应规律,优选土壤有机质的敏感波长,降低土壤有机质高光谱估测模型复杂度,提高模型稳健性,为利用高光谱技术对农田土壤肥力的定量监测提供理论支撑。【方法】采集江汉平原潮土土样130个,将其中40个样本作为训练集,测量其去有机质前、后的土壤有机质含量及光谱数据,计算差值及变化率,分析土壤有机质含量变化对光谱特征的影响,结合无信息变量消除(uninformative variables elimination,UVE)、竞争适应重加权采样(competitive adaptive reweighted sampling,CARS)变量优选方法确定土壤有机质敏感波长;采用45个建模集样本,基于偏最小二乘回归(partial Least S...

【Objective】The objective of this study is to explore the hyperspectral features and response regularity of the soil organic matter, and to select the sensitive wavelengths of soil organic matter, so as to reduce complexity of hyperspectral estimation model of soil organic matter and improve robustness of the model, which is to provide theoretical support to quantitatively monitor the soil fertility of farmland by using the hyperspectral technology. 【Method】 A total of 130 fluvo-aquic soil samples were collected from Jianghan plain, of which...