几种热控涂层的真空-紫外辐照试验

无机热控涂层是航天器常用的一类热控涂层。文章采用上海硅酸盐研究所研制的真空－紫外辐照装置,选用合适的加速倍率,对国内几种常用的热控涂层进行了10000ESH以上的辐照试验,原位测量了各阶段试验样品的太阳吸收比,获得了这些热控涂层的太阳吸收比变化曲线,验证了热控涂层的“漂白效应”。相关研究结果可以为热控制专家进行热设计时提供参考。     

基于漫反射光谱的叶面药液浓度检测方法

应用漫反射反射光谱对叶面药液质量浓度进行了检测研究。选择350～1900nm波段,以标准偏差归一化、三点滑动平均滤波、一阶导数组合预处理,应用逐步回归分析、主成分、主成分+人工神经网络、偏最小二乘、偏最小二乘+人工神经网络回归分析建立了5种数学模型。试验结果表明这5种算法的预测均方根误差分别为0.067、0.061、0.059、0.039、0.056,偏最小二乘法建模效果优于其他模型。考虑到不同作物种类对叶面药液浓度影响,选用八角金盘、油菜、青菜3种作物叶片为对象,在偏最小二乘下建模,其预测集相关系数分别为0.994、0.974、0.929,预测均分根误差分别为0.039、0.050、0.075。表明不同种类作物对叶面药液浓度检测影响较小,漫反射光谱技术检测叶面药液浓度是可行的。     

Simple method for extracting the seasonal signals of photochemical reflectance index and normalized difference vegetation index measured using a spectral reflectance sensor

A spectral reflectance sensor(SRS) fixed on the near-surface ground was developed to support the continuous monitoring of vegetation indices such as the normalized difference vegetation index(NDVI) and photochemical reflectance index(PRI). NDVI is useful for indicating crop growth/phenology, whereas PRI was developed for observing physiological conditions. Thus, the seasonal change patterns of NDVI and PRI are two valuable pieces of information in a crop-monitoring system. However, capturing the seasonal patterns is considered challenging because the vegetation index values estimated by the reflection from vegetation are often governed by meteorological conditions, such as solar irradiance and precipitation. Further, unlike growth/phenology, the physiological condition has diurnal changes as well as seasonal characteristics. This study proposed a novel filtering method for extracting the seasonal signals of SRS-based NDVI and PRI in paddy rice, barley, and garlic. First, the measurement accuracy of SRSs was compared with handheld spectrometers, and the R~2 values between the two devices were 0.96 and 0.81 for NDVI and PRI, respectively. Second, the experimental study of threshold criteria with respect to meteorological variables(i.e., insolation, cloudiness, sunshine duration, and precipitation) was conducted, and sunshine duration was the most useful one for excluding distorted values of the vegetation indices. After data processing based on sunshine duration, the R2 values between the measured vegetation indices and the extracted seasonal signals of vegetation indices increased by approximately 0.002–0.004(NDVI) and 0.065–0.298(PRI) on the three crops, and the seasonal signals of vegetation indices became noticeably improved. This method will contribute to an agricultural monitoring system by identifying the seasonal changes in crop growth and physiological conditions.     

用近红外反射光谱法分析稻米3种必需氨基酸含量的研究

采用近红外反射光谱分析技术来测定水稻精米粉样的3种必需氨基酸含量,揭示不同数学处理方法、光谱散射校正和回归统计方法对建立回归方程的影响.研究表明,光谱数据的数学预处理对发展定标回归方程有很大影响,对于不同的氨基酸,通过比较均可找到一些定标效果较理想的数学处理组合,如"2,3,3,1"等.光谱散射处理对氨基酸的定标改     

A remote sensing-based agricultural drought indicator and its implementation over a semi-arid region,Jordan

The objective of the study was to develop a remote sensing(i.e., Landsat-8 and MODIS)-based agricultural drought indicator(ADI) at 30-m spatial resolution and 8-day temporal resolution and also to evaluate its performance over a heterogeneous agriculture dominant semi-arid region in Jordan. Firstly, we used principal component analysis(PCA) to evaluate the correlations among six commonly used remote sensing-derived agricultural drought related variables. The variables included normalized difference water index(NDWI), normalized difference vegetation index(NDVI), visible and shortwave drought index(VSDI), normalized multiband drought index(NMDI), moisture stress index(MSI), and land surface temperature(LST). Secondly, we integrated the relatively less correlated variables(that were found to be NDWI, VSDI, and LST) to generate four agricultural drought categories/conditions(i.e., wet, mild drought, moderate drought, and severe drought). Finally, we evaluated the ADI maps against a set of 8-day ground-based standardized precipitation index values(i.e., SPI-1, SPI-2, …, SPI-8) by use of confusion matrices and observed the best results for SPI-4(i.e., overall accuracy and Kappa-values were 83% and 76%, respectively) and SPI-5(i.e., overall accuracy and Kappa-values were 85% and 78%, respectively). The results demonstrated that the method would be valuable for monitoring agricultural drought conditions in semi-arid regions at both a reasonably high spatial resolution(i.e., 30-m) and a short time period(i.e., 8-day).     

近红外反射技术建立合肥地区精米直链淀粉含量测定模型

以合肥地区种植的203份水稻材料为检测对象,用近红外反射技术采集光谱,常规化学方法测定精米直链淀粉含量。结果表明,定标样品的直链淀粉含量分布范围为3.439%～28.046%,代表性和连续性良好。采用多种计量数学处理方法和偏最小二乘法(PLS),优化建立了精米直链淀粉含量的定量分析预测模型。定标集(C-Set)样品数132个,相关系数(Rc)0.9278,定标标准差(SEC)1.6582;验证集(V-Set)样品数67个,相关系数(Rv)0.8736,预测标准差(SEP)1.9083,并证实所建立的模型在测定精米直链淀粉含量上具有很好的准确性和实用性,对合肥地区水稻品质育种及种质资源相关研究具有实用价值。     

水稻冠层垂直反射率模拟

利用1999年和2000年实测的晚稻冠层结构参数(叶面积指数、叶倾角、叶长、叶宽等)和叶片生物化学组分含量(叶绿素、蛋白质、纤维素、水等)实测数据,结合椭圆分布函数模型、PROSPECT模型和FCR模型,模拟水稻冠层垂直反射率,模拟值与实测值的相关系数大于0.98,均方根差RMSE小于0.05,从而建立了冠层结构参数、叶片生物化学组成等农     

近红外漫反射光谱法对贵州产蜘蛛抱蛋属植物的分类

[目的]建立贵州产蜘蛛抱蛋属植物的近红外漫反射光谱分析方法.[方法]将赤水蜘蛛抱蛋、刺果蜘蛛抱蛋、丛生蜘蛛抱蛋、四川蜘蛛抱蛋、峨边蜘蛛抱蛋、广西蜘蛛抱蛋、贵州蜘蛛抱蛋、 荔波蜘蛛抱蛋等23批贵州产该属植物烘干、粉碎、过筛后直接测定其红外漫反射图谱;分别采用聚类分析,主成分分析等分析方法对该属植物进行分类.[结果]23批贵州产该属植物的近红外漫反射光谱相似程度极高,通过一阶导数对图谱进行处理,选取4000~7500 cm-1光谱范围作为分析区间,通过聚类分析和主成分分析对该属植物大量光谱变量进行转换,使数目较少的新变量成为原始变量的线性组合,从而让不同种之间的微小差异进一步扩大,从而直观的对该属植物进行分类.[结论]近红外漫反射光谱法可无损、快速测定固体样品,结合信息处理技术,可以为贵州产蜘蛛抱蛋属植物的分类提供一种新方法.     

Comparison of predictions of baking volume using large deformation rheological properties

Three large deformation rheological tests, the Kieffer dough extensibility system, the D/R dough inflation system and the 2 g mixograph test, were carried out on doughs made from a large number of winter wheat lines and cultivars grown in Poland. These lines and cultivars represented a broad spread in baking performance in order to assess their suitability as predictors of baking volume. The parameters most closely associated with baking volume were strain hardening index, bubble failure strain, and mixograph bandwidth at 10 min. Simple correlations with baking volume indicate that bubble failure strain and strain hardening index give the highest correlations, whilst the use of best subsets regression, which selects the best combination of parameters, gave increased correlations with R²=0.865 for dough inflation parameters, R²=0.842 for Kieffer parameters and R²=0.760 for mixograph parameters.     

油茶籽脂肪酸成分含量与高光谱反射率的相关性

测定来自不同产地的30个油茶籽样品的油酸、亚油酸、棕榈酸含量和高光谱反射率,分析油茶籽高光谱反射率与脂肪酸含量间的相关关系。结果显示,与油茶籽脂肪酸成分含量相关性比较好的高光谱波段主要分布在400~500、600~630 nm以及900 nm左右,且敏感波段区高光谱反射率与脂肪酸成分含量的相关系数均在0. 4 以上。