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机构地区:[1]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,江西南昌330045
出 处:《江西农业大学学报》2015年第3期550-555,共6页Acta Agriculturae Universitatis Jiangxiensis
基 金:国家自然科学基金项目(41361049);国家"十二五"科技支撑计划项目(2012BAD04B11);江西省博士后择优资助项目(JX2013018)
摘 要:高光谱遥感技术是定量遥感发展的重要方向,也是土壤养分含量预测的有效手段之一。以江西省中南部的兴国县为研究区,在对43个土壤样本的理化性质和实验室反射光谱数据分析和测量的基础上,寻找丘陵红壤区稻田土壤全磷含量的高光谱敏感波段,尝试建立土壤全磷的预测模型。通过研究发现,丘陵红壤区稻田土壤全磷含量与高光谱曲线相关系数在重采样一阶微分变换中达到最高,最高值在534 nm处达到了0.702。采用高光谱来预测南方典型丘陵稻田土壤全磷含量具有一定的可行性。The hyperspectral remote sensing technology is the important direction of quantitative remote sensing, and also one of the effective means of soil nutrient content prediction.Taking Xingguo County in central and southern Jiangxi Province as the study area, on the basis of the analysis and measurement of the physical and chemical properties of 43 soil samples and laboratory spectral reflectance data the hyperspectral sensitive bands of the total phosphorus content in the hilly red soil area paddy soil were searched after, attempting to establish the forecast model of total phosphorus in soil.The study found that the correlation coefficient between the total phosphorus content in the hilly red soil area paddy soil and the hyperspectral curve reached the high- est in the resampling first-order differential transformation, the highest value reached 0.702 at 534 nm.It is sug- gested that it is feasible for high spectrum to predict the total phosphorus content in the typical southern hilly paddy soil.
分 类 号:S153.2[农业科学—土壤学] TP70[农业科学—农业基础科学]
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