Geomorphic expression of neotectonic activity in a low relief area in an Airborne Laser Scanning DTM: A case study of the Little Hungarian Plain (Pannonian Basin)

The NW corner of the Little Hungarian Plain, which lies at the junction of the Eastern Alps, the Pannonian Basin and the Western Carpathians, is a neotectonically active region linking the extrusional tectonics of the Eastern Alps with the partly subsiding Little Hungarian Plain. The on-going deformation is verified by the earthquake activity in the region. An extremely flat part of the area, east of Neusiedlersee, the so-called Seewinkel, has been investigated with Airborne Laser Scanning (ALS, also known as airborne LiDAR) techniques, resulting in a digital terrain model (DTM) with a 1 m grid resolution and vertical precision of better than 10 cm. The DTM has been compared with known and inferred neotectonic features.Potential neotectonic structures of the DTM have been evaluated, together with geological maps, regional tectono-geomorphic studies, geophysical data, earthquake foci, as well as geomorphological features and the Quaternary sediment thickness values of the Seewinkel and the adjacent Parndorfer plateau. A combined evaluation of these data allows several tectonic features with a relief of < 2 m to be recognized in the DTM. The length of these linear geomorphological structures ranges from several hundred meters up to several kilometers. The most prominent feature forms a 15 km long, linear, 2 m high NE–SW trending ridge with gravel occurrences having an average grain size of ca. 5 cm on its top. We conclude this feature to represent the surface expression of the previously recognized Mönchhof Fault. In general, this multi-disciplinary case study shows that ALS DTMs are extremely important for tectono-geomorphic investigations, as they can detect and accurately locate neotectonic structures, especially in low-relief areas.     

四种海水透明度现场测量方法的对比分析及发展趋势研究

随着海洋探测的不断发展,海水透明度作为海水光学性质的一个重要参量,也越来越受到人们的关注。文章对比分析了4种海水透明度现场测量方法:透明度盘法~([1])、光纤式高光谱剖面测量法~([2])、激光衰减测量法~([3])和基于双光路原理的海水IOPs高光谱测量法~([4]),主要分析了4种方法的测量原理,对比各自的优缺点,并提出了海水透明度测量未来发展设想。     

东喜马拉雅构造结气候构造作用下热史演化的40Ar/39Ar年代学记录

以喜马拉雅山系为典型实例,究竟是气候作用还是构造作用引起山体隆升的问题已经成为地球系统科学研究中的重要前沿问题。无论是气候因素还是构造因素引起山体隆升,二者都与一个共同的地表过程——剥蚀作用相关,剥蚀作用对山体中地质体的影响可以用岩石矿物经历的热史演化来描述,所以,在造山作用研究中,山体或山脉的热史演化是揭开地质体经历地质过程、山体隆升研究的重要途径。利用河砂组成矿物来研究流域的地质过程和构造演化已经成为现代地质科学的重要手段。本文采集了雅鲁藏布江下游墨脱县以南约50 km处地东河段内的现代河砂,对其中的角闪石、白云母、黑云母及钾长石等四种矿物进行了高精度单颗粒激光⁴⁰Ar/³⁹Ar年代学测试,并进行了概率统计。地东河段河砂中富钾矿物⁴⁰Ar/³⁹Ar年代学统计结果显示,大峡谷流域的热史演化可以确定有多个阶段,分别可以识别出70~69、61~60、43~42、35~34、26~25、25~23、22~20、20~18、17~14、12~11、8~6、5~4及<2Ma等13个热史演化阶段。通过将上述热史信息与印度大陆与欧亚大陆碰撞角度和碰撞速率变化曲线的对比,可以确定70~69、61~60、43~42、35~34、22~20和12~11Ma等6个阶段的年代学信息是两大陆碰撞角度和碰撞速率变化事件在东喜马拉雅构造结热史上的记录;通过与全球深海氧、碳同位素记录曲线的对比,可以认为26~25、25~23、17~14、8~6、5~4和<2Ma等6个阶段的年代学信息是气候变化在东喜马拉雅构造结热史上的记录。东喜马拉雅构造结地质体热史演化是构造与气候相互作用的结果。     

地震电磁卫星精密定轨方法研究

高精度卫星轨道是提高卫星应用水平的基础,卫星精密定轨方法主要基于卫星轨道动力学理论．通过跟踪卫星轨迹的测轨技术,将几何和动力学信息进行融合。地震电磁卫星拟采用星载GPS和综合轨道求解方法进行精密定轨．并辅之以人卫激光测距,其定轨的精度可达厘米级。     

赣中良山钼矿床流体包裹体特征及其地质意义

良山钼矿是近年来赣中地区新发现的钼矿,浅部矿体主要赋存于南华系浅变质岩系的构造裂隙中,矿石类型以含辉钼矿石英脉为主。流体包裹体岩相学和显微测温结果表明：含辉钼矿石英脉中的流体包裹体主要呈星散状随机或成群分布,其形态多样,大小集中在2~15 μm,包裹体的类型主要有纯液相包裹体、富气相两相包裹体、富液相两相包裹体和含液体CO₂三相包裹体4类,其中以富液相两相包裹体最为发育;包裹体的均一温度为136~298 ℃,盐度为1.22%~10.11%NaCleqv,密度为0.78~0.99 g/cm3,成矿流体属中-低温、低盐度、较低密度流体;成矿压力估算为13~70 MPa,形成深度为0.5~2.6 km。流体包裹体激光拉曼光谱分析表明：包裹体中气液相成分以H₂O为主,气相中还有少量的CO₂和CO。H、O、S同位素组成显示：成矿流体的δD值介于-61‰~-57.9‰,δ¹⁸OH₂O值介于-3.32‰~-0.52‰,具有岩浆水和大气降水混合的特征;成矿热液中的δ³⁴S值介于-1.8‰~+1.9‰,具有岩浆硫的特征。综合成矿地质特征及相关分析,认为成矿流体可能与燕山期的岩浆活动有关,属于岩浆热液流体,混合作用及钾化作用是促进金属富集沉淀成矿的主要因素,推测矿床属于岩浆热液充填石英脉型钼矿。     

Direct georeferencing of airborne LiDAR data in national coordinates

The topographic mapping products of airborne light detection and ranging (LiDAR) are usually required in the national coordinates (i.e., using the national datum and a conformal map projection). Since the spatial scale of the national datum is usually slightly different from the World Geodetic System 1984 (WGS 84) datum, and the map projection frame is not Cartesian, the georeferencing process in the national coordinates is inevitably affected by various geometric distortions. In this paper, all the major direct georeferencing distortion factors in the national coordinates, including one 3D scale distortion (the datum scale factor distortion), one height distortion (the earth curvature distortion), two length distortions (the horizontal-to-geodesic length distortion and the geodesic-to-projected length distortion), and three angle distortions (the skew-normal distortion, the normal-section-to-geodesic distortion, and the arc-to-chord distortion) are identified and demonstrated in detail; and high-precision map projection correction formulas are provided for the direct georeferencing of the airborne LiDAR data. Given the high computational complexity of the high-precision map projection correction approach, some more approximate correction formulas are also derived for the practical calculations. The simulated experiments show that the magnitude of the datum scale distortion can reach several centimeters to decimeters for the low (e.g., 500 m) and high (e.g., 8000 m) flying heights, and therefore it always needs to be corrected. Our proposed practical map projection correction approach has better accuracy than Legat’s approach,¹ but it needs 25% more computational cost. As the correction accuracy of Legat’s approach can meet the requirements of airborne LiDAR data with low and medium flight height (up to 3000 m above ground), our practical correction approach is more suitable to the high-altitude aerial imagery. The residuals of our proposed high-precision map projection correction approach are trivial even for the high flight height of 8000 m. It can be used for the theoretical applications such as the accurate evaluation of different GPS/INS attitude transformation methods to the national coordinates.     

三维激光扫描仪测量方法与前景展望

首先详细论述了三维激光扫描仪测距、测角、扫描及定向的若干方法,然后通过三维激光扫描仪发展现状的介绍,及各项技术参数图表式对比、分析,得出了三维激光扫描仪测程、精度及扫描速率之间的关系.针对三维激光扫描仪的局限性,提出其会向精密定位、多功能集成、完全国产化、软件公用化等方向发展的趋势.     

三维激光扫描仪在惠泉变电站三维模型构建中的应用

文中通过利用地面三维激光扫描仪获取的空间数据,进行了惠泉变电站三维空间地物建模研究。首先探讨点的密度对数据采集的影响;然后通过整体匹配纠正并对原始测量数据进行拼接配准;最后建立了三维表面模型。通过研究发现利用三维激光扫描技术可以快速建立三维空间的可视化模型,解决了传统的测量仪器与测量方法在变电站等特殊领域的不足。为能够实现变电站资源的数字化,提供了一个变电站三维模型构建的新方向。     

Measuring tree stem diameters using intensity profiles from ground-based scanning lidar from a fixed viewpoint

This paper presents a method for using the intensity of returns from a scanning light detection and ranging (lidar) system from a single viewing point to identify the location and measure the diameter of tree stems within a forest. Such instruments are being used for rapid forest inventory and to provide consistent supporting information for airborne lidars. The intensity transect across a tree stem is found to be consistent with a simple model parameterised by the range and diameter of the trunk. The stem diameter is calculated by fitting the model to transect data. The angular span of the stem can also be estimated by using a simple threshold where intensity values are tested against the expected intensity for a stem of given diameter. This is useful when data are insufficient to fit the model or the stem is partially obscured. The process of identifying tree positions and trunk diameters is fully automated and is shown to be successful in identifying a high proportion of trees, including some that are partially obscured from view. The range and bearing to trees are in excellent agreement with field data. Trunk angular span and diameter estimations are well correlated with field measurements at the plot scale. The accuracy of diameter estimation is found to decrease with range from the scanning position and is also reduced for stems subtending small angles (less than twice the scanning resolution) to the instrument. A method for adjusting survey results to compensate for trees missed due to obscuration from the scanning point and the use of angle count methods is found to improve basal area estimates and achieve agreement within 4% of field measurements.     

Improving the assessment of ICESat water altimetry accuracy accounting for autocorrelation

Given that water resources are scarce and are strained by competing demands, it has become crucial to develop and improve techniques to observe the temporal and spatial variations in the inland water volume. Due to the lack of data and the heterogeneity of water level stations, remote sensing, and especially altimetry from space, appear as complementary techniques for water level monitoring. In addition to spatial resolution and sampling rates in space or time, one of the most relevant criteria for satellite altimetry on inland water is the accuracy of the elevation data. Here, the accuracy of ICESat LIDAR altimetry product is assessed over the Great Lakes in North America. The accuracy assessment method used in this paper emphasizes on autocorrelation in high temporal frequency ICESat measurements. It also considers uncertainties resulting from both in situ lake level reference data. A probabilistic upscaling process was developed. This process is based on several successive ICESat shots averaged in a spatial transect accounting for autocorrelation between successive shots. The method also applies pre-processing of the ICESat data with saturation correction of ICESat waveforms, spatial filtering to avoid measurement disturbance from the land–water transition effects on waveform saturation and data selection to avoid trends in water elevations across space. Initially this paper analyzes 237 collected ICESat transects, consistent with the available hydrometric ground stations for four of the Great Lakes. By adapting a geostatistical framework, a high frequency autocorrelation between successive shot elevation values was observed and then modeled for 45% of the 237 transects. The modeled autocorrelation was therefore used to estimate water elevations at the transect scale and the resulting uncertainty for the 117 transects without trend. This uncertainty was 8 times greater than the usual computed uncertainty, when no temporal correlation is taken into account. This temporal correlation, corresponding to approximately 11 consecutive ICESat shots, could be linked to low transmitted ICESat GLAS energy and to poor weather conditions. Assuming Gaussian uncertainties for both reference data and ICESat data upscaled at the transect scale, we derived GLAS deviations statistics by averaging the results at station and lake scales. An overall bias of −4.6 cm (underestimation) and an overall standard deviation of 11.6 cm were computed for all lakes. Results demonstrated the relevance of taking autocorrelation into account in satellite data uncertainty assesment.