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基于高光谱的苹果花磷素含量监测模型
  • ISSN号:1001-9332
  • 期刊名称:《应用生态学报》
  • 时间:0
  • 分类:S661.1[农业科学—果树学;农业科学—园艺学] TP79[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构:[1]山东农业大学资源与环境学院,山东泰安271018, [2]南大学城市发展学院,济南250002, [3]栖霞市国土资源局,山东栖霞265300
  • 相关基金:国家“863”计划项目(2008AA10Z203)、国家级“星火计划”重点项目(2007EA740002)和国家“十一五”科技支撑计划项目(2006BAD10A10)资助.
中文摘要:

在室内条件下,利用ASD FieldSpec3地物光谱仪,测定了盛花期苹果花的高光谱反射率,在分析苹果花原始光谱反射率及其一阶导数特征的基础上,分析了高光谱反射率与磷素含量间的相关关系,确定其敏感波段,构建了特征光谱参数,并建立了苹果花磷素含量的监测模型.结果表明:苹果花磷素含量与350-370nm、670-1385nm、1620-1760nm波段的原始光谱反射率以及波段500-520nm光谱反射率的一阶导数呈极显著正相关,与波段670-730nm一阶导数呈极显著负相关;光谱参数DVI(936,676)、DVI(977,676)、NDVI(936,676)、NDVI(977,676)与苹果花磷素含量的相关性较好,其相关系数均达到0.77以上,由此建立了以4种光谱参数为自变量的磷素含量监测模型,其中,以NDVI(936,676)为自变量构建的监测模型具有最大的决定系数(R2=0.9385)、最小的均方根误差(RMSE=0.6883)和最小的相对误差(RE=7.6%),预测精度达到92.4%,为最佳监测模型.

英文摘要:

By using ASD FieldSpec 3 field spectrometer, the hyperspeetral reflectance ot apple flowers at full-blooming stage was measured under laboratory conditions, and the correlations of the hyperspectral reflectance with the phosphorus content of apple flowers were analyzed based on the original spectrum and the first derivative spectral characteristics of the flowers. The sensitive wavebands were determined, the characteristic spectral parameters were constructed, and the monitoring models for the phosphorus content of apple flowers were established accordingly. Correlation analy- sis showed that the phosphorus content of apple flowers was significantly positively correlated with the original spectral reflectance at 350-370 nm, 670-1385 nm, and 1620-1760 nm, and the first derivative reflectance at 500-520 nm, and significantly negatively correlated with the first derivative reflectance at 670-730 nm. The spectral parameters DVI (936,676), DFI ( 977,676 ), NDI4 (936,676) and NDVI (977,676) had close correlations with the phosphorus content of apple flowers, the correlation coefficients being all 〉 0.77. By using these spectral parameters as independent variables, four monitoring models for the phosphorus content of apple flowers were established, among which, the model with NDVI (936,676) as the variable was validated as the best monitoring model, its determination coefficient was the highest ( R^2 = 0. 9385 ), root mean square error and relative error were the smallest (RMSE = 0. 6883, and RE - 7.6% ) , and prediction accuracy reached 92.4%.

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期刊信息
  • 《应用生态学报》
  • 北大核心期刊(2011版)
  • 主管单位:中国科学院
  • 主办单位:中国生态学学会 中国科学院沈阳应用生态研究所
  • 主编:沈善敏
  • 地址:沈阳市文化路72号
  • 邮编:110016
  • 邮箱:
  • 电话:024-83970393
  • 国际标准刊号:ISSN:1001-9332
  • 国内统一刊号:ISSN:21-1253/Q
  • 邮发代号:8-98
  • 获奖情况:
  • 中国自然科学核心期刊,中国科学院优秀期刊,中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),荷兰地学数据库,荷兰文摘与引文数据库,美国生物医学检索系统,美国生物科学数据库,英国动物学记录,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:98742