引用本文:[点击复制]
[点击复制]
【打印本页】 【在线阅读全文】【下载PDF全文】 查看/发表评论下载PDF阅读器关闭

←前一篇|后一篇→

过刊浏览    高级检索

本文已被:浏览 63次   下载 83 本文二维码信息
码上扫一扫!
砂姜黑土土壤有机碳高光谱特征与定量估算模型的研究
杨红飞,郑黎明,郜中要,王若澜,王友保
0
(安徽师范大学生命科学学院,芜湖 241000; 皖江城市带退化生态系统的恢复与重建安徽省协同创新中心,芜湖 241000; 重要生物资源保护与利用研究安徽省省级重点实验室,芜湖 241000)
摘要:
有机碳作为衡量土壤肥力的重要指标,其定量化快速监测成为精确农业研究的热点。以安徽淮北平原区宿州市采集的砂姜黑土为研究对象,进行室内理化分析、预处理与室外光谱测量等一系列工作,在土壤原始光谱反射率的基础上,采用去包络线和波段深度提取突出吸收特征,剖析土壤光谱响应特征。基于原始光谱和8种变换形式,分析不同变换光谱形式与有机碳含量的相关性,结合有机碳光谱响应特征分析和光谱特征参量挑选,确定诊断土壤有机碳含量的最佳敏感波段,利用逐步回归方法建立了土壤有机碳高光谱的预测模型。结果表明,550~750 nm波段范围是典型砂姜黑土有机碳的主要光谱响应区域。去包络线和波段深度处理突出了土壤有机碳光谱吸收特征,随着有机碳含量的降低,吸收值呈现下降趋势。在不同光谱转换形式中,归一化比值指数(R/RM(450-750))的转换形式与土壤有机碳相关性最强,最敏感波段分别出现在451 nm和644 nm处,相关系数分别达0.80和-0.90。相关性最好的波段范围主要集中在600~700 nm波段附近。基于相关分析与逐步回归分析方法,确定了606、637和644 nm波段处的归一化比值指数为诊断土壤有机碳含量的最佳敏感波段,基于最佳敏感波段的归一化比值指数(R606/RM(450-750),R637/RM(450-750)和R644/RM(450-750))建立的高光谱预测土壤有机碳模型具有良好的预测效果,模型的决定系数(R2)为0.81,均方根误差(RMSE)为0.14,展现了较好的稳定性和预测精度。
关键词:  砂姜黑土  高光谱  土壤有机碳  光谱特征  反演模型
DOI:10.13610/j.cnki.1672-352x.20180302.024
基金项目:安徽省自然科学基金 (1508085QC68), 安徽省高校自然科学研究重点项目 (KJ2015A127), 安徽师范大学科研 培育基金(2013rcpy40)和皖江城市带退化生态系统的恢复与重建安徽省协同创新中心项目共同资助。
Hyperspectral characteristics and quantitative estimation model of soil organic carbon in the Shajiang black soil
YANG Hongfei,ZHENG Liming,GAO Zhongyao,WANG Ruolan,WANG Youbao
(College of Life Sciences, Anhui Normal University, Wuhu 241000; Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang City Belt, Anhui Province, Wuhu 241000; Anhui Provincial Key Lab of the Conservation and Exploitation of Biological Resources, Wuhu 241000)
Abstract:
As an important indicator of soil fertility, quantitatively and rapidly monitoring soil organic carbon has become a hot spot in precision agriculture research. In this paper, Shajiang black soil samples were collected from Huaihe plain area of Anhui Province to conduct a series of experiments, including physical and chemical analysis, pretreatment and outdoor spectral measurement. Based on the original spectral reflectance of the soil, the characteristic of soil spectral response was analyzed by extracting the prominent absorption characteristics using Continuum removal (CR) and Band-depth (BD). The correlation between different spectral forms and organic carbon content (SOC) was analyzed based on the original spectra and eight transformations. Meanwhile, combined with spectral response characteristics of SOC and the selection of spectral characteristic parameters, best sensitive bands of soil organic carbon were determined for establishment of the hyperspectral prediction model of SOC by the stepwise regression method. The results showed that the main response wave bands between SOC and spectral reflectance were distributed in the range of 550-750 nm for the Shajiang black soil. CR and BD obviously highlighted the spectral absorption characteristics, and the absorption value showed a downward trend with a decrease of SOC content. In different spectral transformations, the normalized ratio index (R/RM(450-750)) exhibited the strongest correlation with
Key words:  Shajiang black soils  hyperspectral  soil organic carbon  spectral characteristics  inversion model

用微信扫一扫

用微信扫一扫