地表质量迁移对日长变化激发作用的研究

为了探索地表质量迁移对日长变化的激发作用,文章在原始日长变化中扣除了固体潮、10年尺度信号、风和洋流效应,得到残余日长变化.然后分别利用AOH气候模型、SLR数据和CSR、GFZ、JPL提供的RL05版本的GRACE月重力场模型,计算了地表质量迁移对日长变化的激发作用.通过分析发现,和SLR、AOH质量激发相比,在季节性尺度上,3种GRACE质量激发能够更好地解释残余日长变化中周年和半周年的起伏,尤其是在周年项上,3种GRACE质量激发和残余日长变化间十分接近;在季节内尺度上,GRACE (GFZ)质量激发同样可以更好地解释残余日长变化,而GRACE(GFZ)和GRACE(JPL)质量激发由于包含一个周期为5.6个月的信号,与残余日长变化的相干性很低.     

利用卫星重力、卫星测高与温盐数据分析红海质量变化

利用卫星重力、卫星测高与温盐数据监测红海2003—2014年质量变化,结果表明,红海质量变化主要受季节性信号影响,周年信号显著且分布较为均匀,半周年信号较弱且易受数据误差影响。GSFCM与测高-比容估算的季节性信号基本一致,表明卫星重力数据能够有效监测红海质量变化。由于尺度因子偏小导致外泄漏改正     

联合区域叠加滤波法与小波变换去除GPS站坐标时间序列噪声

GPS站坐标时间序列中存在的周期性与非周期性误差严重影响了对测站运动特征的分析及其非线性变化的物理机制解释。因此,为削弱噪声的影响,本文首先利用区域叠加滤波法去除了南加利福尼亚地区16个测站时间序列的共模误差,以此削弱时间序列中存在的包括周年和半周年误差在内的周期性误差。为去除滤波后残留的噪声,对滤波后的信号进行静态离散小波变换,提取了周期为半周年以上的信号。结果表明,联合区域叠加滤波法与小波变换对GPS站坐标时间序列进行处理,既能够削弱周期性误差对信号的影响,又能较好地提取测站的非线性运动信号。     

祝贺中国科学院遥感应用研究所成立15周年

祝贺中国科学院遥感应用研究所成立１５周年春光明媚，万物复苏，在这充满生机的季节里，国务院召开全国科学技术大会前夕，中国科学院遥感应用研究所迎来了１５周年生日。在此，我们祝贺遥感应用研究所在我国遥感科学技术与应用领域所取得的丰硕成果，并在国际遥感界为我...     

传承中开拓未来进取中谋求发展——《测绘科学技术学报》创刊25周年

始创于1984年的<测绘科学技术学报>随着共和国60周年的脚步走进了2009年的金秋时节. 秋天!是一个收获的季节,这是<测绘科学技术学报>所步入的第25个金秋.     

国家测绘局成立50周年

在2006年金风送爽、丹桂飘香的收获季节，国家测绘局迎来了建局五十周年的重大时刻。国家测绘局成立50年来取得了巨大成就，测绘事业实现了持续、稳定、健康发展，为社会主义现代化建设作出了重大贡献。     

华北地区季节性垂直位移信号提取及物理机制分析

华北地区地表垂直位移呈现显著的季节性波动。为探究其驱动源信号,利用独立分量分析方法对全球导航定位系统20个基准站的垂直位移时间序列进行时空分解,获取前6个独立分量,并与环境负载造成的垂直位移进行比较分析。结果表明,第一个独立分量呈现显著周年变化和相对均匀的空间响应,与大气负载位移时间序列的平均相关系数为0.60,两者吻合良好。第二和第三个独立分量均是周年和年内信号的组合,其空间响应反映出局部集聚特征,与华北地区水资源的分布状况相类似,合并这两个独立分量后与水文负载位移时间序列的平均相关系数为0.50。由此表明大气和水文负载是驱动华北地区季节性垂直位移的主要源信号。     

利用独立成分分析法研究新疆地区陆地水储量及其地壳垂向变化

中国新疆地区水文气候变化复杂,其水储量变化及其负荷形变特征的精确提取极为重要。采用卫星重力数据GRACE(gravity recovery and climate experiment）反演新疆地区2010—2014年陆地水储量变化,利用独立成分分析法（independent component analysis,ICA）分解时空模式,提取时空特征信号。在此基础上,反演陆地水负荷迁移引起的地壳垂向变化,引入重力位系数与负荷勒夫数一阶项改正,回加非潮汐大气与海洋信号,结合尺度因子法校正GRACE反演结果,引入全球降水气候计划月降水资料分析形变影响,将其与测区12座连续运行参考站形变位移进行定量比较,重点分析各测站陆地水负荷信号与全球导航卫星系统（global navigation satellite system,GNSS）垂直位移的相关关系。结果表明,经ICA方法分解的新疆地区陆地水储量呈现多时间尺度特征,表现为明显的周年与长期变化;周年信号在西部帕米尔高原附近尤为显著;长期变化以逐年减少为主,在乌鲁木齐西部、天山一带信号较强;总体上,陆地水负荷垂直形变的时间序列波动幅度相对较小,幅值...     

温度变化对中国大陆三维周年位移的影响

除了地表质量重新分布外,地表温度变化是影响地表周年变化的另一重要成因。本文利用全球温度变化数据,基于三维全空间热弹性形变模型,计算温度变化在中国大陆引起的地表热弹性形变,并讨论它对中国大陆三维周年位移的影响。结果表明,温度变化引起的地表周年变化振幅在毫米量级。中国大陆构造环境监测网络(简称:陆态网络)GPS台站受地表温度变化影响最大的台站是HLAR(海拉尔),东向、北向以及垂向的周年振幅矢量和为~2.293mm;影响最小的台站是HIYS(永暑礁),东向、北向以及垂向的周年振幅矢量和为~0.177mm。为了说明温度变化对地表周年形变的影响,本文联合GRACE以及物质负荷模型(MODEL)研究中国大陆地表三维周年位移。考虑温度变化后的MODEL、GRACE获取的地表周年形变在东向、北向、垂向的周年信号分别改进了6%、6%、2%;16%、5%、15%。结果表明,温度变化是物质负荷以外引起大陆地表形变的重要因素。     

高光谱图像目标检测的核信号空间正交投影法

针对非线性混合下的亚像元目标检测问题, 提出一种基于核函数的信号空间正交投影方法(KSSP)。该方法作为信号空间正交投影方法(SSP)的非线性推广, 首先将原空间中像元矢量经非线性映射转换到高维特征空间,然后在特征空间中用线性信号空间正交投影进行目标检测。通过核技巧, 核信号空间正交投影不必知道具体的非线性映射形式。经模拟数据与真实高光谱图像数据实验证明, KSSP 方法在目标检测性能上优于SSP, 且对噪声的抑制也有很好的效果。     

基于IGS连续跟踪站的GPS高程时间序列分析

对全球分布的IGS连续跟踪站GPS高程分量时间序列,进行了小波多分辨率分析,发现各台站高程时间序列大都存在着季节性变化,这种以半周年项和周年项为主的季节性变化是由多种地球物理现象引起的,我们从多个方面分析了原因,并着重分析了大气压强的影响。利用分析的结果讨论了地壳垂直变化的规律,得出地球存在以半年和周年为周期的整体性扩张与收缩振荡运动,同时南北半球的变化规律存在差异的结论。     

IGS跟踪站的大地高时间序列特征分析

应用国内几个IGS跟踪站在U方向的观测数据,分析研究跟踪站大地高的变化趋势。通过对时间序列进行奇异谱分析和傅立叶变换分析,表明大地高时间序列具有一定的周期性,且周期特性明显,时间序列的时频特性表现出明显的区域性。     

Anomalous harmonics in the spectra of GPS position estimates

Prior studies of the power spectra of GPS position time series have found pervasive seasonal signals against a power-law background of flicker noise plus white noise. Dong et al. (2002) estimated that less than half the observed GPS seasonal power can be explained by redistributions of geophysical fluid mass loads. Much of the residual variation is probably caused by unidentified GPS technique errors and analysis artifacts. Among possible mechanisms, Penna and Stewart (2003) have shown how unmodeled analysis errors at tidal frequencies (near 12- and 24-hour periods) can be aliased to longer periods very efficiently. Signals near fortnightly, semiannual, and annual periods are expected to be most seriously affected. We have examined spectra for the 167 sites of the International GNSS (Global Navigation Satellite Systems) Service (IGS) network having more than 200 weekly measurements during 1996.0–2006.0. The non-linear residuals of the weekly IGS solutions that were included in ITRF2005, the latest version of the International Terrestrial Reference Frame (ITRF), have been used. To improve the detection of common-mode signals, the normalized spectra of all sites have been stacked, then boxcar smoothed for each local north (N), east (E), and height (H) component. The stacked, smoothed spectra are very similar for all three components. Peaks are evident at harmonics of about 1 cycle per year (cpy) up to at least 6 cpy, but the peaks are not all at strictly 1.0 cpy intervals. Based on the 6th harmonic of the N spectrum, which is among the sharpest and largest, and assuming a linear overtone model, then a common fundamental of 1.040 ± 0.008 cpy can explain all peaks well, together with the expected annual and semiannual signals. A flicker noise power-law continuum describes the background spectrum down to periods of a few months, after which the residuals become whiter. Similar sub-seasonal tones are not apparent in the residuals of available satellite laser ranging (SLR) and very long baseline interferometry (VLBI) sites, which are both an order of magnitude less numerous and dominated by white noise. There is weak evidence for a few isolated peaks near 1 cpy harmonics in the spectra of geophysical loadings, but these are much noisier than for GPS positions. Alternative explanations related to the GPS technique are suggested by the close coincidence of the period of the 1.040 cpy frequency, about 351.2 days, to the “GPS year”; i.e., the interval required for the constellation to repeat its inertial orientation with respect to the sun. This could indicate that the harmonics are a type of systematic error related to the satellite orbits. Mechanisms could involve orbit modeling defects or aliasing of site-dependent positioning biases modulated by the varying satellite geometry.     

我国IGS站的周期变化特征

利用谱方法和小波技术分析了我国IGS站坐标时间序列,阐述了其周期变化特征,即绝大部分台站在N、E、U方向都具有半年周期性、年周期性,U方向周期特性相对明显,同时台站的主要周期成分和时频局部特性又具有一定区域性.     

Impact of seasonal station motions on VLBI UT1 intensives results

UT1 estimates obtained from the very long baseline interferometry (VLBI) Intensives data depend on the station displacement model used during processing. In particular, because of seasonal variations, the instantaneous station position during the specific intensive session differs from the position predicted by the linear model generally used. This can cause systematic errors in UT1 Intensives results. In this paper, we first investigated the seasonal signal in the station displacements for the 5 VLBI antennas participating in UT1 Intensives observing programs, along with the 8 collocated GPS stations. It was found that a significant annual term is present in the time series for most stations, and its amplitude can reach 8 mm in the height component, and 2 mm in horizontal components. However, the annual signals found in the displacements of the collocated VLBI and GPS stations at some sites differ substantially in amplitude and phase. The semiannual harmonics are relatively small and unstable, and for most stations no prevailing signal was found in the corresponding frequency band. Then two UT1 Intensives series were computed with and without including the seasonal term found in the previous step in the station movement model. Comparison of these series has shown that neglecting the seasonal station position variations can cause a systematic error in UT1 estimates, which can exceed 1  $\upmu $ s, depending on the observing program.     

Contribution of new AAM data source to δLOD excitation

Data sets of the changes of the length of day (ΔLOD) measured by space geodetic techniques and of the atmospheric angular momentum (AAM) derived from global meteorological data by the National Meteorological Center (NMC) and the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) are used to reanalyze and study the excitations of ΔLOD, and to examine and compare the contribution of each AAM series to ΔLOD. The main results are as follows. 1. The AAM reanalyzed with the assimilated global meteorological data by NCEP/NCAR are more accurate and have lower noise than the original AAM derived by NMC. The NCEP/NCAR-based AAM is more consistent with the changes of the length-of-day series. 2. The NCEP reanalysed AAM data may better explain the non-tidal LOD variations on intraseasonal to interannual time scales, especially on the quasi-biennial time scale. The atmosphere cannot, however, explain all LOD variations; other excitation sources are possible. 3. The effects of atmosphere on the estimated values of tides for ΔLOD components up to a month are weak. The preliminary results of the annual and semiannual tides can be estimated after removing the effects of atmosphere from ΔLOD. Received: 27 May 1998 / Accepted: 22 March 1999     

Annual deformation signals from homogeneously reprocessed VLBI and GPS height time series

The first part of this paper compares homogeneously reprocessed Very Long Baseline Interferometry (VLBI) and Global Positioning System (GPS) long-term height series from 1994 to 2007. The data analysis used fully adapted state-of-the-art models (like VMF1 and a priori zenith delays from ECMWF) for the GPS and VLBI processing. The series are compared in terms of long-term non-linear behaviour, harmonic and mean annual signals (not necessarily of harmonic nature). The similarity between both techniques is very good (especially the mean annual signals), which is assumed to be due to the adapted models and consistent reprocessing of both series. As two almost independent observing techniques see the same annually recurring signals at almost all co-located sites, we expect a good geophysical interpretability as integral vertical deformation. For the second part of this paper, the height time series of 161 suitable GPS sites (of the same solution as before) are used to determine a harmonic and a mean annual signal for each of them. Comparing the annual signals for this big dataset visually to GRACE-determined load deformations described in other publications, we find good agreement. This puts emphasis to the assumption that our height data have a lot of potential to be interpreted as geophysical signals. Out of these 161, 131 are grouped to 55 clusters, if at least two nearby (some thousand kilometres) sites show similar mean annual signals, which are thus confirmed to be real regional deformation, not local or technical artefacts. These 55 signals are presented on a “world map” of regional average mean annual height signals, as easy-to-handle tool to validate geophysical models. The data of these measured regional mean annual signals can be downloaded from a web-page for numerical analysis.     

IGS电离层产品的时空特性研究

电离层时空变化规律的研究对于卫星导航、航空航天等具有重要价值。本文利用国际GNSS服务(IGS)产品,分析了电离层的时空变化规律。在时间尺度上,对低阶球谐系数(0,0)、(1,0)、(1,1)、(1,-1)进行了功率谱分析,对北京地区的垂直方向总电子含量(VTEC)进行了短时傅里叶变换分析,对北京、阿克拉和墨尔本进行了季节性分析,结果表明,电离层变化具有明显的年周期和半年周期项。在空间方面,分析了零度子午线、赤道上的电离层延迟随纬度、经度的变化规律,结果表明,在纬度方向上具有明显的单峰效应,在经度方向上的峰值具有延迟变化规律。      

Sub-footprint analysis to uncover tree height variation using ICESat/GLAS

Detailed forest height data are an indispensable prerequisite for many forestry and earth science applications. Existing research of using Geoscience Laser Altimeter System (GLAS) data mainly focuses on deriving average or maximum tree heights within a GLAS footprint, i.e. an ellipse with a diameter of 65 m. However, in most forests, it is likely that the tree heights within such ellipse are heterogeneous. Therefore, it is desired to uncover detailed tree height variation within a GLAS footprint. To the best of our knowledge, no such methods have been reported as of now. In this study, we aim to characterize tree heights’ variation within a GLAS footprint as different layers, each of which corresponds to trees with similar heights. As such, we developed a new method that embraces two steps: first, a refined Levenberg–Marquardt (LM) algorithm is proposed to decompose raw GLAS waveform into multiple Gaussian signals, within which it is hypothesized that each vegetation signal corresponds to a particular tree height layer. Second, for each layer, three parameters were first defined: Canopy Top Height (CTH), Crown Length (CL), and Cover Proportion (CP). Then we extracted the three parameters from each Gaussian signal through a defined model. In order to test our developed method, we set up a study site in Ejina, China where the dominant specie is Populus euphratica. Both simulated and field tree height data were adopted. With regard to the simulation data, results presented a very high agreement for the three predefined parameters between our results and simulation data. When our methods were applied to the field data, the respective R² become 0.78 (CTH), CL (R² = 0.76), CP (R² = 0.74). Overall, our studies revealed that large footprint GLAS waveform data have the potentials for obtaining detailed forest height variation.     

Temporal variability of global Topex/Poseidon altimetry: tide and annual signals?

Summary The global power of the differences of altimetric sea heights at collocated points in the first 44 cycles of the Topex/Poseidon (T/P) mission, apparently shows the influence of errors in the major tides and long period ocean signals. Results show the principal semidiurnal tides (M2/S2 lumped together) in the Cartwright and Ray (1991) model are probably in error globally by 3–4 cm (rms). The dominant fluctuation in the differences over the 44 cycles (14 months total) arises from an annual signal of 4–6 cm (rms), significantly greater than long term climate data suggests (but with considerable uncertainty due to unresolved semiannual effects).