Remote detection of geological structures: an application to the Aravalli region,western India

Optical and microwave remote sensing data are used in conjunction with a digital elevation model to map lineaments in the central parts of the Aravalli region, Rajasthan, western India. Lineament maps interpreted from each data-set are subsequently combined to derive a composite lineament map of the area. Rose plots are used to identify the prominent trends of the lineaments and compared with published structural map of the study area. Three major trends are identified, namely, the NE–SW, NNE–SSW and EW, which are interpreted to be, related to the DF1, DF2 and DF4 deformation phases identified by the previous workers through field studies. The lineaments are classified as fold axes or faults, and a total of 10-fold axes and 30 faults mapped in the area.     

All you ever wanted to know about optical long baseline stellar interferometry, but were too shy to ask your adviser

I try to present a small view of the properties and issues related to astronomical interferometry observations. I recall a bit of history of the technique, give some basic assessments to the principle of interferometry, and finally, describe physical processes and limitations that affect optical long baseline interferometry and which are, in general, very useful for everyday work. Therefore, this text is not intended to perform strong demonstrations and show accurate results, but rather to transmit the general “feeling” one needs to have to not be destabilised by the first contact to real world interferometry.     

混合酸比例对ICP-MS/OES测定地球化学样品中多元素的影响

应用电感耦合等离子体质谱/发射光谱仪(ICP-MS/OES)测定地球化学样品中的多元素时,通常采用混合酸(盐酸-硝酸-氢氟酸-高氯酸)分解试样,但不同比例的混合酸对试样的分解效果影响极大,导致测试结果中经常出现铬、锰、铁、铝、钛及部分稀土元素测定结果偏低、精密度不理想的情况。本文通过改变混合酸中各类酸的混合比例,采用逆王水-氢氟酸-高氯酸分解试样,逆王水提取,使上述元素获得了较为理想的分解效果,特别是这些元素含量较高的样品分解效果的改善尤为显著。实验证明:当取样量为0.100 g时,采用8 mL逆王水、6 mL氢氟酸、3 mL高氯酸分解试样,8 mL逆王水提取,用国家一级标准物质进行验证,测试结果的相对标准偏差(n=6)为0.34%~4.02%,本方法精密度和准确度均满足地质实验室质量管理规范要求,可快速、准确、批量测定地球化学样品中的多元素。     

分布式光纤感测技术在古建筑监测中的应用研究

本文介绍了分布式光纤传感技术的优势和特点,根据中国古建筑的分类及监测要求,提出了分布式光纤技术对古建筑的监测方案,包括感测光缆的选择、布设方案、安设工艺等,并以某古建筑监测为例,介绍了分布式光纤传感技术的实际应用,进一步证明了该技术应用在古建筑监测和健康诊断中的可行性和有效性。     

Synergy of airborne LiDAR and Worldview-2 satellite imagery for land cover and habitat mapping: A BIO_SOS-EODHaM case study for the Netherlands

A major challenge is to develop a biodiversity observation system that is cost effective and applicable in any geographic region. Measuring and reliable reporting of trends and changes in biodiversity requires amongst others detailed and accurate land cover and habitat maps in a standard and comparable way. The objective of this paper is to assess the EODHaM (EO Data for Habitat Mapping) classification results for a Dutch case study. The EODHaM system was developed within the BIO_SOS (The BIOdiversity multi-SOurce monitoring System: from Space TO Species) project and contains the decision rules for each land cover and habitat class based on spectral and height information. One of the main findings is that canopy height models, as derived from LiDAR, in combination with very high resolution satellite imagery provides a powerful input for the EODHaM system for the purpose of generic land cover and habitat mapping for any location across the globe. The assessment of the EODHaM classification results based on field data showed an overall accuracy of 74% for the land cover classes as described according to the Food and Agricultural Organization (FAO) Land Cover Classification System (LCCS) taxonomy at level 3, while the overall accuracy was lower (69.0%) for the habitat map based on the General Habitat Category (GHC) system for habitat surveillance and monitoring. A GHC habitat class is determined for each mapping unit on the basis of the composition of the individual life forms and height measurements. The classification showed very good results for forest phanerophytes (FPH) when individual life forms were analyzed in terms of their percentage coverage estimates per mapping unit from the LCCS classification and validated with field surveys. Analysis for shrubby chamaephytes (SCH) showed less accurate results, but might also be due to less accurate field estimates of percentage coverage. Overall, the EODHaM classification results encouraged us to derive the heights of all vegetated objects in the Netherlands from LiDAR data, in preparation for new habitat classifications.     

High resolution multisensor fusion of SAR,optical and LiDAR data based on crisp vs. fuzzy and feature vs. decision ensemble systems

Synthetic Aperture Radar (SAR) data are of high interest for different applications in remote sensing specially land cover classification. SAR imaging is independent of solar illumination and weather conditions. It can even penetrate some of the Earth’s surface materials to return information about subsurface features. However, the response of radar is more a function of geometry and structure than a surface reflection occurs in optical images. In addition, the backscatter of objects in the microwave range depends on the frequency of the band used, and the grey values in SAR images are different from the usual assumption of the spectral reflectance of the Earth’s surface. Consequently, SAR imaging is often used as a complementary technique to traditional optical remote sensing. This study presents different ensemble systems for multisensor fusion of SAR, multispectral and LiDAR data. First, in decision ensemble system, after extraction and selection of proper features from each data, crisp SVM (Support Vector Machine) and Fuzzy KNN (K Nearest Neighbor) are utilized on each feature space. Finally Bayesian Theory is applied to fuse SVMs when Decision Template (DT) and Dempster Shafer (DS) are applied as fuzzy decision fusion methods on KNNs. Second, in feature ensemble system, features from all data are applied on a cube. Then classifications were performed by SVM and FKNN as crisp and fuzzy decision making system respectively. A co-registered TerrraSAR-X, WorldView-2 and LiDAR data set form San Francisco of USA was available to examine the effectiveness of the proposed method. The results show that combinations of SAR data with different sensor improves classification results for most of the classes.     

结构函数法反演气溶胶光学厚度中像元的间隔设置

结构函数法气溶胶光学厚度反演精度受像元间隔设置影响很大,且并非所有像元都能获得较好的反演结果,因而研究像元间隔的设置能够提高反演精度,研究反演误差小的像元能够提高算法效率。为了获得最佳的像元间隔设置,本文以胶州湾地区为例,利用250 m和500 m两种分辨率数据计算了不同像元间隔时的结构函数值,分别利用单一像元间隔法、均值法、坡高法以及线性区域均值法获得待反演像元最终的结构函数值反演550 nm处的气溶胶光学厚度,并依据CE318观测数据进行精度验证,通过分析点对点反演结果和光学厚度的空间分布,确定反演误差小、受分辨率影响小的像元间隔设置。实验发现线性区域均值法在一定程度上提高了反演精度和稳定性。此外,通过对反演结果可接受像元的地表反射率结构函数值的统计和分析,发现500 m分辨率时可接受像元比例优于250 m,当地表反射率结构函数值大于0.02时反演结果较好,而这些像元往往分布在山麓、山涧、海岸线、河流、城乡结合部等地理要素的突然改变的地区。     

光盘地图的研究与应用

光盘存贮技术的优点是密度高,容量大,存取快,保存长。它给地图学者提供了一种完全新颖的制图介质,为计算机地图制图和地理信息系统的发展开辟了新的前景。本文简要介绍光盘存贮技术的原理与特点,目前光盘地图的研制和应用状况,及其在地图应用方面的潜力。     

Calculated optical absorption spectra of Ni2+-bearing compounds

The transition energies responsible for optical absorption spectra can be obtained by crystal-field analysis, but the transition intensities are notoriously difficult to calculate. This paper examines the basic ingredients of the calculation of optical spectrum intensities. Magnetic dipole and electric quadrupole transitions intensities are evaluated, as well as the direct d(Ni²⁺) to p(O²⁻) electric dipole transitions. All these contributions are shown to be small in the optical range, so that spectral intensities are due to the mixing of odd orbitals with the Ni²⁺ 3d ⁿ states. Received: 11 November 1997 / Revised, accepted: 6 September 1999     

Optical spectroscopy study of variously colored gem-quality topazes from Ouro Preto,Minas Gerais,Brazil

Variously colored gem-quality topazes from Ouro Preto, Minas Gerais, Brazil, were studied by optical absorption spectroscopy and photoluminescence methods. In the near infrared range (750–2500 nm) the absorption spectra display an identical pattern of narrow intense absorption lines caused by overtones and combination vibrations of OH groups, which do not relate to the coloration of the topazes studied. Their colors were found to be caused by combination of three sets of absorption features, (1), (2), and (3) in the visible and near-UV range, which are due to different color center. (1) denotes a pair of broad split bands with maxima 18 000 and 25 000 cm^–1 caused by electronic spin-allowed dd transitions of Cr³⁺ ions. They cause a light rose to deep violet color and characteristic pleochroism of Cr³⁺-containing topazes. Photoluminescence evidences of at least three different types of Cr³⁺ complexes which, most probably, differ by ligand surroundings, O₄F₂, O₄F(OH) and O₄(OH) (2) Corresponds to the intense weakly polarized UV absorption edge. Two different parts, the thermally stable one, caused by ligand-to-metal charge transfer, and the thermally unstable one, caused by some defect center(s), contribute to the edge. (3) denotes a system of two broad unstructured bands with maxima around 19 000 cm^–1 (X>Y Z) and 24 000 cm^–1 (Y Z X). They cause the unique orange color and characteristic pleochroism of Brazilian Imperial topazes. Combinations of (1) and (3) absorption features cause various yellow-rose colors of the samples. Investigations of natural irradiated and thermally treated topazes show that the color centers (1) and (3) transform to each other at annealing and X- or gamma irradiation. The color of natural orange-red Imperial topazes is assumed to be caused by Cr⁴⁺, stabilized by other impurity ions and/or defect irradiation EPR centers. At T=300 °C Cr⁴⁺ reduces to Cr³⁺, the color of Imperial topazes changes to pale rose, caused by spin-allowed bands of Cr³⁺. In artificially irradiated crystals the (3)-center, Cr⁴⁺, may be induced according to the reaction 2Cr³⁺ Cr⁴⁺ + Cr²⁺, which involves chromium pairs in adjacent Al sites of the structure. Such artificially induced color is unstable at room temperature and in daylight. The process of the decay of (3)-centers may be described as a recombination Cr⁴⁺+Cr²⁺ 2Cr³⁺ that results in vanishing of the (3)-bands accompanied by the appearance or increase in Cr³⁺ dd bands, the original orange color turning to a pale rose.