利用模拟宽波段数据定量反演关中平原土壤有机质含量研究 |
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引用本文: | 王延仓,安健,顾晓鹤,金永涛,宋玉彬,赵子辉,胡湛晗,陈曦. 利用模拟宽波段数据定量反演关中平原土壤有机质含量研究[J]. 安徽农业科学, 2016, 0(14): 240-244. DOI: 10.3969/j.issn.0517-6611.2016.14.081 |
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作者姓名: | 王延仓 安健 顾晓鹤 金永涛 宋玉彬 赵子辉 胡湛晗 陈曦 |
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作者单位: | 1. 北华航天工业学院,河北廊坊 065000; 河北省航天遥感信息处理与应用协同创新中心,河北廊坊 065000;2. 电子科技大学光电信息学院,四川成都,611731;3. 北京农业信息技术研究中心,北京 100097; 农业部农业信息技术重点实验室,北京 100097 |
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基金项目: | 国家科技支撑计划项目(2012BAH29B01);河北省航天遥感信息处理与应用协同创新中心资助项目。 |
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摘 要: | [目的]以陕西杨凌示范区耕层土壤为对象,通过采集、测定耕层土壤的有机质含量,并结合野外相应高光谱数据和光谱响应函数,利用模拟宽波段数据估测土壤有机质含量。[方法]通过分析土壤有机质含量与光谱间的内在关系,筛选敏感波段,构建估测土壤有机质含量模型;以宽波段波段响应函数、土壤高光谱数据为基础,通过模拟宽波段数据,构建估测土壤有机质含量模型;通过高光谱与模拟宽波段数据的对比分析,研究基于宽波段遥感数据定量估测土壤有机质含量的可行性。[结果]基于宽波段数据估测土壤有机质的精度相对较高。[结论]利用宽波段数据估测土壤土壤有机质含量具有可行性,2%并非利用光谱数据估测土壤有机质含量的下限。
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关 键 词: | 有机质 宽波段 关中平原 偏最小二乘回归法 |
The Quantitative Retrieval of Soil Organic Matter Content in Guanzhong Plain by Using Wide Band Data |
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Abstract: | Objective] With topsoil collected in Shanxi Yangling demonstration zone as the object, collecting soil samples and determining the organic matter content, and then combined with the corresponding field hyperspectral data and spectral response function, using wide band analog data, soil organic matter content was estimated.[Method] Through analysis of the intrinsic relationship between soil organic matter and spectrum, the sensitive bands were screened out, the model of estimating soil organic matter content was constructed; based on the wide band response func-tion and soil hyperspectral data, through the simulation of wide band data to construct the model for estimating soil organic matter content ; By comparing the hyperspectral data and simulated wide band, the feasibility of quantitative wide band remote sensing data for estimating soil organic matter content was studied.[Result] The results showed that the accuracy of soil organic matter was relatively high based on the wide band data . [Conclusion] Estimating soil organic matter content is feasible based on the wide band data, 2% is not the bottom line to estimate the soil organ-ic matter content based on spectral data. |
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Keywords: | Organic matter Wide band Guanzhong Plain Partial least squares regression method |
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