基于主成分分析的ENVISAT ASAR数据在福建省漳州市香蕉园地提取中的应用(英文)

Banana is one of the main economic agrotypes in Zhangzhou, Fujian Province. The multi-temporal ENVISAT ASAR data with different polarization are used to classify the banana fields in this paper. Principal component analysis (PCA) was applied for six pairs of ASAR dual-polarization data. For its large leaves, banana has high backscatter. So the value of banana fields is high and shows very bright in the 1st component, which makes it much easier for banana fields extraction. Dual-polarization data provide more information, and the VV and VH backscatter of banana show different characters with other land covers. Based on the analysis of the radar signature of banana fields and other land covers and the 1st component, banana fields are classified using object-oriented classifier. Compared to the field survey data and ASTER data, the accuracy of banana fields in the study area is 83.5%. It shows that the principal component analysis provides the useful information in SAR images analysis and makes the extraction of banana fields easier. Supported by the Program for New Century Excellent Talents in University (NCET-05-0573), Fujian Science and Technology Project (No.2006I0018), the Science Project of the Education Department of Fujian Province(No. 2006F5022).     

尼罗罗非鱼(Oreochromis niloticus)不同月龄性状的主成分与判别分析

采用主成分与判别分析的方法,研究尼罗罗非鱼形态性状的增长规律,并判定其最佳生长季节体格与月龄的关系。选择2—5月龄尼罗罗非鱼各100尾,测量体长、头长、躯干长、体高、尾柄长、尾柄高、体宽和体重共8个性状,并对其进行主成分与判别分析。主成分分析结果表明:尼罗罗非鱼各月龄的体型特征参数间均有不同程度的正相关(P<0.05),体重与体长、体高的相关性最显著;不同月龄尼罗罗非鱼性状的主成分有所不同,主成分1:2—5月龄均相同为增重因子;主成分2:2—4月龄均为尾柄因子,而5月龄是躯干因子;主成分3:2月龄是头部因子,3—4月龄是躯干因子,5月龄是尾柄因子。通过建立判别式来判断错过最佳生长季节尼罗罗非鱼的体格与大小相符的月龄,判别结果表明,总的判别准确率为99.25%,其中2—4月龄尼罗罗非鱼的判别准确率为100%。     

松辽盆地十屋断陷十屋地区营城组物源体系探讨

在综合分析碎屑颗粒组分、重矿物组合、砂砾岩展布和地层倾角测井等资料的基础上,探讨了十屋断陷十屋地区营城组沉积时期的物源体系特征和分布。碎屑颗粒组分和重矿物分析能指示物源区母岩类型和碎屑物质的搬运方向,砂砾岩展布能指明了碎屑物质的搬运方向和搬运途径,地层倾角测井则指示了古水流的方向。结果表明,十屋地区营城组存在三大物源体...     

利用AMTIS数据反演植被和土壤温度

遥感陆面温度 (LST)是目前遥感界面临的重要课题 ,组分温度反演则为LST反演的主攻目标。如果混合像元组分间的温度及发射率存在明显差别 ,就可以从多角度热辐射亮度变化中分离出组分温度的信息。在热辐射矩阵模型的基础上 ,讨论了确定可反演参数和反演组分温度的方法 ,并以AMTIS多角度热红外图像为数据源 ,在进行几何和大气纠正后 ,尝试利用矩阵反演方法分解混合像元中的植被和土壤温度。误差分析表明土壤温度反演结果较好 ,但植被温度的反演精度不高     

基于SuperMap林业地理信息平台的设计与实现

为了满足当前基层林场生产任务和业务管理的实际需求,本文针对其生产中面临着的一些问题,组件式GIS-SuperMa PObjects和林业领域模型库为基础,建立林业地理信息系统平台(Superma PForest Star)的思想,实现森林资源的信息化管理.林业地理信息系统平台包括森林资源数据管理功能模块、造林决策支持模...     

Statistical empirical index of chemical weathering in igneous rocks: A new tool for evaluating the degree of weathering

Chemical weathering indices are useful tools in characterizing weathering profiles and determining the extent of weathering. However, the predictive performance of the conventional indices is critically dependent on the composition of the unweathered parent rock. To overcome this limitation, the present paper introduces an alternative statistical empirical index of chemical weathering that is extracted by the principal component analysis (PCA) of a large dataset derived from unweathered igneous rocks and their weathering profiles. The PCA analysis yields two principal components (PC1 and PC2), which capture 39.23% and 35.17% of total variability, respectively. The extent of weathering is reflected by variation along PC1, primarily due to the loss of Na₂O and CaO during weathering. In contrast, PC2 is the direction along which the projections of unweathered felsic, intermediate and mafic igneous rocks appear to be best discriminated; therefore, PC1 and PC2 represent independent latent variables that correspond to the extent of weathering and the chemistry of the unweathered parent rock. Subsequently, PC1 and PC2 were then mapped onto a ternary diagram (MFW diagram). The M and F vertices characterize mafic and felsic rock source, respectively, while the W vertex identifies the degree of weathering of these sources, independent of the chemistry of the unweathered parent rock.

The W index has a number of significant properties that are not found in conventional weathering indices. First, the W index is sensitive to chemical changes that occur during weathering because it is based on eight major oxides, whereas most conventional indices are defined by between two and four oxides. Second, the W index provides robust results even for highly weathered sesquioxide-rich samples. Third, the W index is applicable to a wide range of felsic, intermediate and mafic igneous rock types. Finally, the MFW diagram is expected to facilitate provenance analysis of sedimentary rocks by identifying their weathering trends and thereby enabling a backward estimate of the composition of the unweathered source rock.     

常州市地下水化学特征与成因分析

常州市是长江三角洲地区典型的工业化城市,多年来的快速发展对地下水环境产生了系列影响,地下水化学组分受到天然条件和人为活动的双重因素控制,现状地下水化学成因和影响因素亟需深入研究。本文在地下水赋存条件分析的基础上,综合采用统计分析、离子比值、主成分分析法对常州各层地下水化学特征和成因开展分析。结果表明,区域潜水水化学类型以HCO₃^-—Ca²⁺·Mg²⁺、HCO₃^-—Ca²⁺和HCO₃^-·Cl^-—Na⁺·Ca²⁺型为主,第Ⅰ承压水以HCO₃^-—Na⁺·Ca²⁺和HCO₃^-—Ca²⁺型为主、第Ⅱ承压水以HCO₃^-—Na⁺     

DYNAMIC VARIATIONS OF WATER QUALITY IN TAIHU LAKE AND MULTIVARIATE ANALYSIS OF ITS INFLUENTIAL FACTORS

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Determination of gravity anomaly at sea level from inversion of satellite gravity gradiometric data

Gravity gradients can be used to determine the local gravity field of the Earth. This paper investigates downward continuation of all elements of the disturbing gravitational tensor at satellite level using the second-order partial derivatives of the extended Stokes formula in the local-north oriented frame to determine the gravity anomaly at sea level. It considers the inversion of each gradient separately as well as their joint inversion. Numerical studies show that the gradients T_zz, T_xx, T_yy and T_xz have similar capability of being continued downward to sea level in the presence of white noise, while the gradient T_yz is considerably worse than the others. The bias-corrected joint inversion process shows the possibility of recovering the gravity anomaly with 1 mGal accuracy. Variance component estimation is also tested to update the observation weights in the joint inversion.     

ASM1中污水水质参数与化学计量系数的估测

简要介绍了活性污泥1号模型中14个污水水质参数与5个化学计量系数的估测方法和典型取值。