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作 者:郭熙[1,2,3] 叶英聪 谢碧裕 匡丽花 谢文[3]
机构地区:[1]江西省农业科学院土壤肥料与资源环境研究所,南昌330200 [2]中国农业科学院农业资源与农业区划所,北京100081 [3]江西农业大学江西省鄱阳湖流域农业资源与生态重点实验室,南昌330045
出 处:《国土资源遥感》2015年第2期94-99,共6页Remote Sensing for Land & Resources
基 金:"十二五"国家科技支撑计划项目"江西双季稻大面积均衡增产技术集成研究与示范"(编号:2012BAD04B11);江西省博士后择优资助项目(编号:JX2013018)共同资助
摘 要:以兴国县稻田土高光谱反射率为研究对象,分析南方丘陵稻田土碱解氮的光谱响应波段,运用光谱分析方法提取光谱指数,建立基于反射光谱特征的南方丘陵稻田土碱解氮高光谱反演模型。经分析可知,不同碱解氮含量的南方丘陵稻田土光谱曲线在波长小于700 nm波谱范围内呈现随着碱解氮含量的增高,光谱反射率降低,吸收深度越大的趋势;通过分析南方丘陵稻田土碱解氮含量与光谱反射率16种数学变换的相关系数,提取敏感波段为694 nm,2 058 nm和2 189 nm。基于南方丘陵稻田土光谱反射率的碱解氮含量高光谱反演模型稳定性较强(R2=0.56),具有一定的预测能力,能用于南方丘陵稻田土碱解氮含量速测。To analysis the relationship between the hyperspectral reflectance in the visible/near infrared bands and available nitrogen ( AN ) in paddy soil in southern China hilly areas, the authors collected the hyperspectral reflectance of paddy soil and made analysis with spectral analysis methods with the purpose of discovering the spectral characteristics of field reflectance and its influencing factors. The spectral indices were derived, and then paddy soil AN predicting model based on the correlation between AN content and spectral indices was built. The results were as follows:The different AN content paddy soil reflectance curves showed the tendency that, with the increase of AN content, the spectral reflectance decreased and the absorption depth became greater;by analyzing the correlation coefficient of paddy soil AN content and 16 kinds of mathematical transformations of spectral reflectance, the sensitive wavelengths were extracted, which were 694 nm, 2 058 nm and 2 189 nm;the predicting model for paddy soil AN content was built with spectral resample reflectance at 694 nm, 2 058 nm and 2 189 nm as independent variables and AN as dependent variable, and the coefficients of determination R2 of the model was 0. 56, suggesting that the model is quite good in stability and predictability.
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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