高分辨率遥感下的盖州滩潮沟发育分维特征和贝类生境区信息研究

通过盖州滩潮沟的“资源2”号高分辨率遥感卫星影像与TM影像等多源信息融合,同时采用形态分维的结果,获取了盖州滩潮沟的图形及逆信息树特征,并以此建立了计算模式.量化计算了盖州滩南、北部潮沟发育特征,它反映了两者间的分异度;采样监督分类分出盖州滩高、中、低潮滩分布及其相应面积以及盖州滩的贝类生境区影像特征与滩涂分布的相关性.对盖州滩的工程实施问题进行了讨论.     

基于散射计风场数据的台风强度诊断方法——以海洋二号卫星数据为例

本文提出了一种基于散射计风场数据的台风定强方法。该方法定义了台风所在海区的一个圆形区域上的风速平均值来对台风进行定强,并使用海洋二号卫星散射计历史数据对该方法进行了验证。验证结果表明,该台风定强方法可以克服散射计反演台风风速过低的问题。与台风强度监测的历史记录比较的结果显示,在台风强度低于"强台风"这一强度等级时,该方法能够有效估算台风强度。     

Advances, Problems and Prospects of Modern Geodesy Applied in Tibetan Geodynamic Changes

Modern geodetic techniques have developed rapidly in recent years, providing reliable observation data and new effective approaches, and greatly enhancing studies of the Tibetan geodynamics. For instance, the well-known GPS technique has been employed to measure seismic slips for many faults in the Tibetan Plateau. GPS data agree well with the hypothesis of a thickening crust and eastward mass flow. Moreover, absolute gravimetric data have been applied to interpret geophysical phenomena such as crust movement, co-seismic gravity change, GIA, and ground water change. The satellite gravity mission GRACE launched in 2002 provided global gravity models with unprecedentedly high precision and high spatial resolution. It has been used in implementing temporal gravity changes and improving our knowledge of the Earth’s interior, including lithosphere dynamics, mantle viscosity and rheology, plateau uplift, and subduction processing. It is noteworthy that gravity presents unique advantages for the study of Tibetan geodynamics because of its sensitivity to mass migration and dynamic redistribution. To date, great advances have been made in applying modern geodetic data in studying dynamic changes of Tibetan plateau. For instance, the horizontal displacement field from GPS data revealed dynamical characteristics of the present-day Tibetan plateau. The combination of gravity anomalies and topographic data describe the tectonic characteristics of Tibetan plateau. The combination of gravity data and GPS data show present properties of the Tibetan plateau such as crust thickening, Moho’s subsidence, and plateau uplift. GRACE data were used to estimate the distribution of ice/snow melting.     

导航卫星钟差预报的Elman神经网络算法研究

针对卫星钟差不能被精确模型化的问题,将具有较强记忆功能和强大计算能力的Elman神经网络运用到卫星钟差预报中,提出适用于卫星钟差预报的Elman模型。首先对原始钟差数据进行一次差处理,然后选择合适的神经网络结构建立预报效果最佳的Elman钟差预报模型,最后选用国际GNSS服务（IGS）提供的精密钟差数据进行GPS卫星钟差预报,并与二次多项式模型、附加周期项的多项式模型和灰色系统模型进行对比分析。结果表明,Elman模型进行1 d、7 d和30 d钟差预报的精度得到显著提高,分别达到亚ns、ns和μs级,表明该模型的钟差预报性能优于3种常用模型,在卫星钟差预报中具有可行性。     

高分辨率卫星影像图在震害快速预估中的应用

随着高分辨率卫星遥感技术的发展,遥感技术在地震灾害预估、评估和地震应急工作中发挥着越来越重要的作用,并成为震害评估和应急工作的重要发展方向之一。通过分析高分辨率遥感影像上建筑物的影像特征,设计了一种自动提取建筑物三维信息的模型;将提取出的建筑物三维信息,结合实验区人工调查的人口、经济数据．利用震害矩阵计算出不同类型建筑物在地震烈度场内的破坏等级和不同破坏等级建筑物的总面积,给出一定地震等级下的人员伤亡和经济损失的实际数据,建立了一套利用高分辨率卫星进行震害预估的技术流程。选取上海市宝山区为试验区．利用该技术进行了震害预估试验研究。预估结果具有较高的精度。     

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新疆兴地断裂带东段左行走滑位移——来自卫星遥感影像的证据

兴地断裂带近EW向贯穿库鲁克塔格地区,其活动历史地质界有不同认识,但对位移量无系统论述。利用卫星遥感影像解译,在进一步确定断裂带具体位置及几何特征基础上,通过对被错断的泥盆纪阿尔皮什麦布拉克组、石炭纪花岗岩及侵入该花岗岩中的暗色岩墙断距的测量,确定其东段左行走滑位移量为8.26～9.19 km。根据被错断地质体时代,推测这一左行走滑位移代表了该断裂带二叠纪以来总位移量。从泥盆纪开始,该断裂带已不具构造分区作用。     

2001-2002年上海天文台卫星激光测距观测报告

介绍了 2 0 0 1- 2 0 0 2年上海天文台卫星激光测距观测概况和亚厘米级精度的测距实验     

Monitoring canopy growth and grain yield of paddy rice in South Korea by using the GRAMI model and high spatial resolution imagery

Monitoring crop conditions and forecasting crop yields are both important for assessing crop production and for determining appropriate agricultural management practices; however, remote sensing is limited by the resolution, timing, and coverage of satellite images, and crop modeling is limited in its application at regional scales. To resolve these issues, the Gramineae (GRAMI)-rice model, which utilizes remote sensing data, was used in an effort to combine the complementary techniques of remote sensing and crop modeling. The model was then investigated for its capability to monitor canopy growth and estimate the grain yield of rice (Oryza sativa), at both the field and the regional scales, by using remote sensing images with high spatial resolution. The field scale investigation was performed using unmanned aerial vehicle (UAV) images, and the regional-scale investigation was performed using RapidEye satellite images. Simulated grain yields at the field scale were not significantly different (p = 0.45, p = 0.27, and p = 0.52) from the corresponding measured grain yields according to paired t-tests (α = 0.05). The model’s projections of grain yield at the regional scale represented the spatial grain yield variation of the corresponding field conditions to within ±1 standard deviation. Therefore, based on mapping the growth and grain yield of rice at both field and regional scales of interest within coverages of a UAV or the RapidEye satellite, our results demonstrate the applicability of the GRAMI-rice model to the monitoring and prediction of rice growth and grain yield at different spatial scales. In addition, the GRAMI-rice model is capable of reproducing seasonal variations in rice growth and grain yield at different spatial scales.     

GNSS-MR技术用于雪深探测的初步研究

全球导航卫星系统干涉反射测量（global navigation satellite system-interferometric reflectometry,GNSS-IR）技术能探测浅层地表的土壤湿度。针对多系统组合的土壤湿度反演问题,基于轨迹聚类方法,从全球定位系统(global positioning system,GPS)、北斗卫星导航系统（BeiDou satellite navigation system,BDS）、格洛纳斯(GLONASS)、伽利略（Galileo）导航系统的信噪比观测数据中提取多径干涉相位,利用经验模型求解轨迹聚类后的土壤湿度估计值,以加权平均方式得到系统组合后的估计结果。结果表明,BDS、Galileo反演精度相当且优于GPS、GLONASS,基于轨迹聚类的多系统组合土壤湿度估计方法的均方根误差为0.041 4 cm³/cm³,相比于单系统的综合反演精度提升约16.3%,相比于单系统的最佳频段反演精度提升约5.2%,所提方法能有效监测土壤湿度的变化。