BDS-3新频点单点定位研究   总被引：2，自引：0，他引：2  

慕仁海  党亚民  许长辉 《测绘通报》2021,(3):12-17

针对目前有关北斗卫星导航系统（BDS-3）中MEO卫星（BDS-3M）增加的B1C、B2a新频点单点定位研究较少的现状,本文开展了基于新频点B1C、B2a的双频单点定位试验,结合国际GNSS监测评估系统（iGMAS）5个跟踪站连续10 d的数据,对BDS-3的新频点进行数据质量分析、双频伪距单点定位（SPP）和双频静态精密单点定位（PPP）研究,并与GPS的L1、L2频点和BDS-3的B1I、B3I频点进行对比。试验结果表明：在伪距单点定位方面,BDS-3新信号在E、N、U 3方向的精度分别优于10、12、11 m,低于GPS的L1、L2双频伪距单点定位和BDS-3的旧频点双频伪距单点定位精度;在精密单点定位方面,BDS-3新频点在收敛速度方面略低于GPS的收敛速度,BDS-3新信号在E、N、U 3方向都能达到分米级精度。  相似文献   

The Austrian node of the natural resources satellite remote sensing cloud service platform:examples of Sino-Austrian cooperation     

Wolfgang Kainz  Xinming Tang  Yucai Xue 《地球空间信息科学学报》2021,24(1):145-151

The Austrian node of the Natural Resources Satellite Remote Sensing Cloud Service Platform was established in 2016 through a cooperation agreement between the Land Satellite Remote Sensing Application Center(LASAC),Ministry of Natural Resources of the Peoples Republic of China and the University of Vienna,Austria.Under this agreement panchromatic and multi-spectral data of the Chinese ZY-3 satellite are pushed to the server at the University of Vienna for use in education and research.So far,nearly 500 GB of data have been uploaded to the server.This technical note briefly introduces the ZY-3 system and illustrates the implementation of the agreement by the first China-Sat Workshop and several case studies.Some of them are already completed,others are still ongoing.They include a geometric accuracy validation of ZY-3 data,an animated visualization of image quick views on a spherical display to demonstrate the time series of the image coverage for Austria and Laos,and the use of ZY-3 data to study the spread of bark beetle in the province of Lower Austria.An accuracy study of DTMs from ZY-3 stereo data,as well as a land cover analysis and comparison of Austria with ZY-3 and other sensors are still ongoing.  相似文献   

黄河源区陆面过程观测和模拟研究进展   总被引：2，自引：1，他引：1  

文军  蓝永超  苏中波  田辉  史小康  张宇  王欣  刘蓉  张堂堂  康悦  吕少宁  张静辉 《地球科学进展》2011,26(6):575-586

陆面过程对黄河源区水资源变化有重要的影响,探索黄河源区陆面过程和水分循环特征的关联机理有十分重要的意义.首先简述了黄河源区气候变化背景和陆面过程的基本特征,并详细介绍了近年来在黄河源区开展的一系列陆面过程野外观测试验及相关研究主题和研究进展;进一步给出了在野外试验观测资料分析、卫星遥感、数据同化应用和数值模拟等方面取得...  相似文献   

Tracking pollutants from space: Eight years of IASI satellite observation     

《Comptes Rendus Geoscience》2015,347(3):134-144

The IASI mission flying onboard the MetOp satellites has been providing global observations of the air composition twice a day since 2007. From the atmospheric spectra recorded by the instruments in the thermal infrared spectral range, concentrations of a series of trace gases can be monitored, enhanced levels of pollution can be detected, and particle types can be determined to some extent. This paper recalls the historical context for the IASI remote sensor, reviews its capability to observe some key species for global and regional pollution monitoring, and reports on information services that benefit from the mission.  相似文献   

基于CMORPH资料的长三角城市化对降水分布特征影响的观测研究   总被引：2，自引：0，他引：2  

江志红  唐振飞 《气象科学》2011,31(4)

利用CMORPH卫星降水资料和NCEP风场资料,综合分析了长江三角洲地区南京、杭州、上海、苏州等主要城市的降水分布特征,结果表明:长三角城市效应主要表现在对夏半年降水强度空间分布的影响,具体表现为在700 hPa平均引导气流控制下,城市中心和下风向地区的夏半年降水强度比上风向地区增加5%～15%,最大值通常位于城市中心下游20～70 km。冬半年主要城市周围的降水量、降水时间和降水强度的空间变化都比较小,城市效应对降水分布特征没有明显的影响。长三角城市因地理位置的差异,不同城市降水的下游效应存在差别。夏半年南京、杭州、无锡、苏州、常州等城市的下风向地区比上风向地区降水强度明显增加,城市效应显著。上海和宁波受到海洋影响明显,夏半年低层海风侵入范围较广,夏季降水强度的高值中心偏向海风的下游方位,可能是受到海风环流和城市热岛环流的共同影响。距离上风城市较近的镇江等城市,降水强度的分布受到上风城市降水强度下游效应的影响。  相似文献   

基于非全张量卫星重力梯度数据的张量不变量法   总被引：3，自引：1，他引：2       下载免费PDF全文

吴星  王凯  冯炜  汪涛 《地球物理学报》2011,54(4):966-976

在非全张量卫星重力梯度观测数据的处理过程中,由于卫星姿态角误差、梯度观测数据误差和非全张量观测等原因,重力梯度值从卫星重力梯度仪系转换到地固系后,精度损失严重.本文研究了张量不变量法以解决上述问题.首先在重力梯度张量不变量线性化的基础上,建立了基于卫星轨道面的不变量观测模型,完整地推导了两类重力梯度张量不变量的球近似和...  相似文献   

Improving the assessment of ICESat water altimetry accuracy accounting for autocorrelation     

Hani Abdallah  Jean-Stéphane Bailly  Nicolas Baghdadi  Nicolas Lemarquand 《ISPRS Journal of Photogrammetry and Remote Sensing》2011,66(6):833-844

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.  相似文献   

环境一号卫星CCD数据在1:250000地形图框架要素更新中的应用能力研究     

韦金丽  王龙波  徐军  王国波 《测绘与空间地理信息》2011,(2):56-60

探讨了采用环境一号卫星CCD多光谱数据在1∶250 000地形图框架要素更新中的应用情况,对不同框架要素在环境一号卫星CCD影像中的识别率和最小分辨率进行了比较和分析,并对环境一号卫星CCD影像的分辨能力和要素识别精度进行了分析和研究,进一步证实了采用环境一号卫星CCD数据进行1∶250 000地形图框架要素进行更新的可行性。  相似文献   

Use of SARAL/AltiKa Observations for Modeling River Flow     

Praveen Gupta  Amit Kumar Dubey  Nandita Goswami  Raghvendra Pratap Singh  Prakash Chauhan 《Marine Geodesy》2015,38(3):614-625

In the absence of many gauging stations in the major and mighty river systems, there is a need for satellite-based observations to estimate temporal variations in the river water storage and associated water management. In this study, SARAL/AltiKa application for setting up hydraulic model (HEC-RAS) and river flow simulations over Tapi River India has been discussed. Waveform data of 40 Hz from Ka band altimeter has been used for water levels retrieval in the Tapi river. SARAL/AltiKa retrieved water levels were converted to discharge in the upstream location (track-926) using the rating curve available for the nearby gauging site and using linear spatial interpolation technique. Steady state simulations were done for various flow conditions in the upstream. Validation of river flow model was done in the downstream location (track-367) by comparing simulated and altimeter retrieved water levels (RMSE 0.67 m). Validated model was used to develop rating curve between water levels and simulated discharge for the downstream location which enables to monitor discharge variations from satellite platform in the absence of in situ observations. It has been demonstrated that SARAL/AltiKa data has potential for river flow monitoring and modeling which will feed for flood disaster forecasting, management and planning.  相似文献   

Envisat and SARAL/AltiKa Observations of the Antarctic Ice Sheet: A Comparison Between the Ku-band and Ka-band     

Frédérique Rémy  Thomas Flament  Aurélie Michel  Denis Blumstein 《Marine Geodesy》2015,38(3):510-521

The AltiKa altimeter onboard SARAL is a joint CNES/ISRO mission launched in February 2013 that has the same 35 days repeat orbit of the previous European altimeters, Envisat, and ERS-1/2. SARAL/AltiKa is thus a unique opportunity to extend the repeat observations of this orbit that have been surveyed since 1991. However, the altimeter operates in Ka-band, which is higher than the previous frequencies, and offers new paths of investigation. The penetration depth is theoretically reduced from around 10 m in Ku-band to less than 1 m in Ka-band, such that the volume echo originates from the near subsurface. Second, the sharper antenna aperture leads to a narrower leading edge that reduces the impact of the ratio between surface and volume echoes of the height retrieval. Indeed, the spatial and temporal observations of AltiKa at cross-over points and along-track indicate that the impact of backscatter changes on the height decreasesfrom 0.3 m/dB for the Ku-band to only 0.05 m/dB for the Ka-band. Therefore, the height measurement is stable over time. Moreover, the volume echo in the Ka-band results from the near subsurface layer and is mostly controlled by ice grain size, unlike the Ku-band.  相似文献