Linked to Landscape: Assessing Urbanization in Germany through Landscape and Economic Factors

The ongoing encroachment of urban land into natural landscapes has resulted in the degradation of ecosystems throughout Europe. Understanding why the share of urban land has increased is important for managing urban growth and maintaining ecosystem services. We estimate a model of landscape change that integrates geospatial and socioeconomic data in a spatial autoregressive model to explain the variance in urban growth observed in Germany between 2000 and 2006. In doing so, we test several determinants of urbanization identified by theoretical frameworks from landscape ecology and economics, including landscape pattern and transit infrastructure. The results show that despite planning guidelines and policies to promote dense development, urban growth has been extensive. Regions with a high degree of fragmented land and the prevalence of environmental amenities are characterized by particularly strong growth, pointing to challenges in crafting landscape policies that balance economic development with environmental conservation.     

Land cover changes and landscape pattern dynamics in Senegal and Guinea Bissau borderland

Different levels of climatic, agricultural, demographic, political and socioeconomic change have been detected in West African countries. For many years the human impact on the region was negligible, due to the low population density. However, in the last decades, demographic increase has accelerated exploitation of the natural resources and consequently the degradation of the ecosystems. Land cover degradation and landscape changes are more or less pronounced according to politic and socio-economic conditions of each country. In this study, a region located on the borderland of north Guinea-Bissau and south Senegal, is analyzed with regard to land cover and landscape trends, considering the socio-economic factors that drive them and the borderline effect. In this analysis, remote sensing data (Landsat TM, ETM+ and OLI data) were used to obtain four land cover maps for the years 1990, 2002, 2010 and 2015. The results show a similar landscape behavior in both countries, directly related to similar socio-economic practices. Forest area increase in both countries and there is a reduction in Agriculture/Bare soil areas until 2010. Main causes may be associated to the rural exodus, resulting from the conflict for independence of Casamance, which affects the borderland region of Senegal and Guinea Bissau, or to the conversion of agricultural areas into cashew orchards. In opposition, between 2010 and 2015, Forest area decrease and Agriculture/Bare soil increase, due to the recent trend of conversion of old cashew orchards into traditional fields of cereals and peanut. An increase in landscape fragmentation is observed in the period under analysis, revealing a heterogenization trend, which can be related to the adoption of similar human practices, in the last decades.     

卫星摄影姿态测定系统低频误差补偿

姿态测定系统不仅存在高频误差,还存在与卫星轨道纬度及时间有关的低频误差,严重影响无地面控制点测量精度。本文分析了产生低频误差的因素及相关解决措施,并在天绘一号(TH-1)卫星工程中,利用光束法平差实现低频误差的自动检测与补偿处理,消除低频误差对定位精度的影响,最后进行了试验验证。试验结果表明:低频误差补偿技术,很好地解决了无地面控制定位系统误差问题,为实现天绘一号卫星全球定位精度的一致性发挥了重要作用。     

大范围倾斜多视影像连接点自动提取的区域网平差法

提出了一种大范围倾斜多视影像自动连接点提取和光束法区域网平差算法。首先利用POS数据对倾斜影像进行矫正并预测候选像对,使用SIFT特征进行影像匹配;然后利用并查集数据结构实现多视影像间连接点对应关系的快速确定;最后将POS数据和控制点数据作为带权观测值进行平差解算。选取3种典型的倾斜相机系统(组装轻量级倾斜相机、国产SWDC-5相机、微软UltraCam相机)进行了试验,结果表明,本文算法能够适应国内外流行的倾斜摄影系统,且一次性可处理的影像数目超过2000张;在相同条件下倾斜影像光束法区域网平差的整体精度优于传统垂直摄影情形,实际精度可以达到水平方向0.75 GSD,高程方向2.0GSD。     

姿态模式切换期间QZSS卫星轨道及其钟差产品特性分析

导航卫星姿态控制模式切换对精密定轨解算得到的轨道和钟差均有较大影响。本文首先从理论上分析了卫星偏航姿态及其对精密定轨的影响,然后分别以卫星激光测距检核和钟差多项式拟合的方法对IGS MGEX分析中心的QZSS卫星轨道和钟差产品精度进行评价,最后以谱分析方法和改进阿伦方差揭示了卫星钟差的周期特性。基于2014年全年的QZSS卫星轨道和钟差产品的研究表明,一年内有两次长约20 d的地影季,太阳角呈现半年周期的波动;QZSS卫星在低太阳角时有零偏保护,其卫星轨道和钟差精度都与太阳角有显著相关性;卫星钟差具有与轨道周期相近的周期项,且周期项振幅与太阳角的大小也具有相关性,表明现有的定轨策略存在不足。考虑到QZSS与目前北斗星座中IGSO和MEO卫星姿态控制模式的相似性,该结论对于研究我国BDS姿态切换期间的精密定轨有一定参考价值。     

北斗/GPS实时精密卫星钟差融合解算模型及精度分析

实时GNSS精密单点定位(PPP)技术必须使用实时的高精度卫星精密轨道和钟差。本文研究了精密卫星钟差融合解算模型及策略,并利用滤波算法实现了北斗/GPS实时精密卫星钟差融合估计算法。仿真实时试验结果显示:获得的北斗/GPS实时钟差与GFZ事后多GNSS精密钟差(GBM)的标准差在0.15 ns左右;使用该钟差进行GPS动态PPP试验,收敛后水平精度优于5 cm,高程精度优于10 cm;使用仿真实时钟差进行的北斗动态PPP与使用GFZ事后多GNSS精密钟差开展的试验相比精度相当,可实现分米级定位。     

Swarm卫星天线相位中心校正及其对精密定轨的影响

接收机天线相位中心偏差是星载GPS精密定轨必须考虑的误差源,而PCV一般需要多天观测数据进行联合估计,其估计方法及效率显得尤为重要。本文针对传统PCV综合方法计算效率较低、需要存储多天的法方程以及先验信息等问题,提出了一种改进的PCV综合方法。该方法通过递推的方式,既不需要存储多天的法方程及先验信息,又能够及时提供PCV信息,进而提高了PCV值获取的效率,为实现Swarm卫星PCV的快速求解提供了一种新的途径。最后,利用星载GPS数据进行了Swarm卫星精密定轨。试验结果表明:采用改进的PCV综合方法,能够提高PCV综合效率,降低所需存储空间;通过与外部精密轨道比较表明,进行PCV改正后,Swarm卫星的径向、切向和法向定轨精度均有不同程度的提高,尤其是对法向精度改善最为明显,平均提高约23.3mm;进行PCV改正后,Swarm卫星各个方向的定轨精度均优于2cm。     

区域监测站与低轨卫星数据联合测定MEO卫星轨道

我国北斗二代系统(BDS)地面运控监测站数量较少且为区域分布,短期内难以实现全球建站,因此对全球运行的中圆地球轨道卫星(MEO)难以形成连续多重覆盖观测,导致BDS的MEO实时轨道精度偏低。基于上述问题,本文考虑到低轨卫星星载GNSS数据可以有效弥补区域监测站在空间覆盖及几何结构上的不足,设计了一种将星载GNSS接收机作为高动态天基监测站,联合地面区域监测站数据对卫星导航系统的MEO卫星轨道进行实时解算预报的方法。算例结果显示:7个区域监测站联合1至3个天基监测站,其定轨精度可分别提升约21%、34%和55%,这也表明,地面区域监测站联合天基低轨卫星数据可有效提高MEO卫星的轨道精度。建议我国BDS在区域测站分布阶段可采用联合低轨卫星数据方法提高北斗MEO卫星实时轨道精度。     

GNSS卫星地影的一体化建模方法和星蚀参数计算

基于日地关系建立地影模型,利用数值法可以高精度计算单个卫星的地影参数,但是难以快速而全面地分析某一类卫星的地影参数变化和分布规律。本文从日、地和卫星三者的几何关系出发,提出了一种基于空间视场的卫星地影直接建模方法。首先,分别利用轨道半长轴和太阳的周年视运动确定卫星地影的大小和位置变化;其次,基于球面几何分析法推导了卫星地影参数的计算公式以及扁率摄动等对长期预报的影响改正公式。对北斗混合星座中3类卫星的地影参数分析试验表明,卫星地影模型和地影参数解析法能够快速获得中高轨近圆轨道类型的星蚀规律信息。     

SWARM卫星简化动力学厘米级精密定轨

联合星载GPS双频观测值与简化的动力学模型,在卫星运动方程中引入适当的伪随机脉冲参数,对SWARM卫星进行精密定轨。采用星载GPS相位观测值残差、重叠轨道以及与外部轨道对比等3种方法对SWARM卫星简化动力学定轨结果进行检核。结果表明:SWARM星载GPS相位观测值残差RMS为7~10mm;径向、切向以及法向6h重叠轨道差值RMS均在1cm左右,3个方向均无明显的系统误差。通过与欧空局(ESA)发布的精密轨道进行对比分析,径向轨道差值RMS为2~5cm,切向轨道差值RMS为2~5cm,法向轨道差值RMS为2~4cm,3D轨道差值RMS为4~7cm;SWARM-B定轨精度优于SWARM-A与SWARM-C。因此,采用简化动力学法与本文提供的定轨策略进行SWARM卫星精密定轨是切实可行的,定轨结果良好且稳定,定轨精度达到厘米级。