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基于典型研究区植被冠层实测高光谱数据和HSI高光谱影像数据,通过相关分析选择与不同深度土壤含水量响应敏感波段,建立两者的土壤含水量反演模型,并用实测高光谱土壤含水量反演模型校正HSI影像土壤含水量反演的模型。结果表明:土壤含水量响应敏感波段区域为450~650 nm和850~920 nm;两种土壤含水量反演模型对土壤深度为0~10 cm的土壤含水量估算效果最好,其中实测冠层高光谱土壤含水量反演模型精度高于HSI影像土壤含水量反演模型,判定系数(R~2)分别为0.659和0.557;经过校正的HSI影像土壤含水量反演模型精度有了较大的提高,判定系数(R~2)从0.557提升到0.719,均方根误差(RMSE)为0.043 5,较好地提高了区域尺度条件下土壤含水量监测精度,因此运用该方法进行土壤含水量遥感监测是可行的,为进一步提高区域尺度下土壤含水量定量遥感监测提供参考借鉴。 相似文献
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Phosphate retaining properties of macropore wall materials may influence the extent of phosphate leaching via preferential flow. Phosphate sorption to soil matrix material has been compared with sorption to fracture wall materials consisting of inner iron-oxide depleted albic coatings rimmed by reddish iron-oxide enriched quasicoatings. The latter contains 15 times as much Fe oxide, 2 times as much Al (hydr)oxide and 5–6 times as much total P than the albic material, which represent the most P-depleted material in the profile. Oxalate extractable P (Po) amounts to
of the total P contents of the samples. Smectite predominates in the fracture walls and acid subsoils, but has partly transformed into hydroxy-interlayered smectite (HIS) in the upper limed soil horizons. Langmuir parameters derived from phosphate sorption isotherms show no correlation for sorption to whole soil samples and the corresponding clay fractions. The phosphate sorption capacity at a threshold equilibrium concentration of 10 μM (Padst (10 μM)) is measured as the content of Po plus the amount of phosphate sorbed during 7 days, and can be related to Alo+Feo: Padst (10 μM)=(0.0404±0.0046)·(Alo+Feo)***+3.569. The Padst (10 μM) values vary between 4 and 14 mmol P kg−1, lowest in the albic fracture walls and highest in the iron enriched quasi-coatings. The sorption capacity of the metal oxide free clay does not appear to correlate with smectite or HIS contents. In total, the clay fraction contributes with about 50% of the whole soil sorption capacity in agreement with 40–60% of the total soil Alo+Feo being present in the clay fraction. At a solution phosphate concentration of 10 μM, the Ap horizon is found to be almost phosphate saturated whereas subsoil horizons including the fractures have phosphate saturations ≤50% and, hence, can strongly sorb P. The low phosphate saturation of fracture walls indicates that they do not act as major sinks of phosphate-rich solutions from topsoil horizons, either due to kinetic constraints, or due to a flow pattern not allowing P-rich solution to percolate fractures. 相似文献
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棉花早衰程度诊断数码图像数字化指标的研究 总被引:1,自引:4,他引:1
应用计算机数字图像技术研究了诊断棉花早衰程度的方法。在光照条件下采集了棉田群体图像,然后分别提取了红绿蓝(RGB)三色分量和色度、饱和度和亮度指标(HSI)。在RGB和HSI颜色模型下分析了各分量与棉花早衰程度的相关特性。然后得出诊断棉花早衰程度的指标。分析结果表明:颜色分量G/(R B)和色度H分量与棉花早衰程度线性相关,可用作利用数字图像技术快速诊断作物长势的指标,而其它分量与棉花早衰程度没有明显的相关性;诊断模型G/(R B)分量比色度H分量有更好的拟合优度。 相似文献
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用机器视觉技术获取棉花叶片叶绿素浓度 总被引:28,自引:3,他引:28
运用机器视觉技术获取棉花叶片颜色特征,建立棉花叶片叶绿素测定模型。研究表明,(1)RGB颜色系统的B/R、色度坐标b、b/r值及HIS彩色系统中的饱和度S值均与棉叶叶绿素含量显著或极显著相关,可用于测定叶片叶绿素浓度;(2)棉花叶片正、背面RGB、HIS颜色系统的颜色特征值与叶绿素浓度的相关性高度一致,且叶片背面的颜色特征值与叶绿素浓度之间的相关性更高;(3)基于机器视觉技术建立和筛选出了6组棉叶叶绿素含量预测模型,预测误差在7.8%~13.65%之间。为棉花生长的快速监测提供了依据。 相似文献
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基于机器视觉的棉花群体叶绿素监测 总被引:7,自引:1,他引:7
研究了利用机器视觉技术快速获取棉花群体叶绿素信息的方法,以期获得预测性高的颜色特征参数。结果表明,RGB颜色系统的G-R、(G-R)/(G+R)、r与g的组合值和棉花功能叶叶绿素含量、群体绿色指数呈极显著相关,而且拟合度较高;HIS颜色系统的Hue值和棉花功能叶叶绿素含量、群体绿色指数之间也极显著相关。对筛选出的两组模型进行检验,预测精度在84.07%~93.04%之间,推荐预测精度最高的G-R参数作为获取棉花群体叶绿素信息的最佳颜色指标。G-R预测叶绿素含量和群体绿色指数的模型分别为y=-1.3008+0.2125(G-R)-0.0038(G-R)2(R2=0.8669**)和y=-0.9726+0.1227 (G-R)-0.0016(G-R)2(R2=0.7487**)。 相似文献
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医院信息系统(HIS)在医院管理及现代化建设中发挥越来越重要的作用。采用传统关系型数据库的HIS产品日益显示出种种不足,如响应速度太慢,维护费用昂贵。Caché数据库是一种面向对象型数据库,具有许多卓越的性能,不但加快了软件开发的速度,还解决了“阻抗失配”问题。另外由于Caché采用多维数组的存储方式以及位图索引等技术,使其在与关系型数据库的HIS对比中,展现出更大的优势,如响应速度加快,降低硬件成本,日常维护更加容易。 相似文献
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医院信息系统(HIS)在医院管理及现代化建设中发挥越来越重要的作用。采用传统关系型数据库的HIS产品日益显示出种种不足,如响应速度太慢,维护费用昂贵。Caché数据库是一种面向对象型数据库,具有许多卓越的性能,不但加快了软件开发的速度,还解决了"阻抗失配"问题。另外由于Caché采用多维数组的存储方式以及位图索引等技术,使其在与关系型数据库的HIS对比中,展现出更大的优势,如响应速度加快,降低硬件成本,日常维护更加容易。 相似文献
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