Delineation of groundwater potential zones in Wadi Saida Watershed of NW-Algeria using remote sensing,geographic information system-based AHP techniques and geostatistical analysis

Sustainable management of groundwater resources has now become an obligation,especially in arid and semi-arid regions given the socio-economic importance of this resource.The optimization in zoning for groundwater exploitation helps in planning and managing groundwater supply works such as boreholes and wells in the catchment.The objective of this study is to use remote sensing and GIS-based Analytical Hierarchy Process(AHP)techniques to evaluate the groundwater potential of Wadi Saida Watershed.Spatial analysis such as geostatistics was also used to validate results and ensure more accuracy.Through the GIS tools and remote sensing technique,earth observation data were converted into thematic layers such as lineament density,geology,drainage density,slope,land use and rainfall,which were combined to delineate groundwater potential zones.Based on their respective impact on groundwater potential,the AHP approach was adopted to assign weights on multi-influencing factors.These results will enable decision-makers to optimize hydrogeological exploration in large-scale catchment areas and map areas.According to the results,the southern part of the Wadi Saida Watershed is characterized as a higher groundwater potential area,where 32%of the total surface area falls in the excellent and good class of groundwater potential.The validation process revealed a 71%agreement between the estimated and actual yield of the existing boreholes in the study area.     

Investigation on Snow Characteristics and Their Distribution in China

The background, scientific objective, investigation contents and scheme of project “Investigation on snow characteristics and their distribution in China” was introduced in this paper. The general objective of the investigation is to build comprehensive and systematic database of snow characteristics in China, at the service of providing data for the climate change, water resource and snow disaster studies. The investigation will be performed on the three fields including the compilation of historical data, in situ measurement of snow characteristics in the typical regions, and investigation of snow characteristics using remote sensing methods. For the compilation of historical data, the historical snow data from the meteorological stations and research institutes will be firstly collected, and then they will be compiled based on a standard rule. In situ observation will be performed at point, line and area-scale on the typical regions which include Northeast region, Xinjiang Degion, and Qinghai-Tibet Plateau. The observation content will contain snow depth, snow density, snow water equivalent, snow particle shape, hardness of snowpack surface, liquid water content, grain size, snow temperature, snow/soil temperature, dielectric constant, and some chemical parameters. These snow characteristics are the priority information used for the modification of retrieval algorithm on snow parameters. Remote sensing methods will be used to build long-time series of snow cover, snow albedo and snow water equivalent datasets based on these modified algorithms. Finally, the snow characteristics from both in situ and remote sensing investigation will be used to classify snow types in China, and produce distribution maps of snow characteristic and other thematic maps.     

一种计算北斗三频多路径的方法及其结果分析

多路径误差分析是北斗卫星导航系统性能评估的一项重要内容。本文给出了一种新的计算3频多路径误差的方法,该方法只需对B1和B2载波相位观测值进行处理就能得到3个频率的伪距多路径误差。利用MGEX跟踪站的数据计算了BDS的多路径误差,从GPS和BDS多路径误差比较以及纬度、轨道和频率因素分析了BDS多路径误差的特性,结果表明,BDS多路径误差小于0．5 m,符合质量检查要求,其性能优于GPS卫星系统。     

Exploring the relationships between post-fire vegetation regeneration dynamics,topography and burn severity: A case study from the Montane Cordillera Ecozones of Western Canada

In this study the relationships between vegetation regeneration dynamics to topography and burn severity for a Canadian landscape were investigated using freely available Earth Observation (EO) imagery from Landsat TM sensor. The Okanagan Mountain Park, located in the Montane Cordillera Ecozones of Western Canada at which a fire occurred in 2003, was used as a case study. First, vegetation regeneration dynamics were quantified for a period of 8 years following the fire event based on a chronosequence analysis of the Normalized Difference Vegetation Index (NDVI) and the Regeneration Index (RI). The spatio-temporal patterns of post-fire NDVI from each image date were statistically compared to the pre-fire pattern to determine the extent to which the pre-fire spatial pattern was re-established and also the rate of recovery. Subsequently, the relationships of vegetation regrowth to both topography and burn severity was quantified using a series of additional statistical metrics. Burn severity was derived from the differenced Normalized Burn Ratio (dNBR) index computed from the Landsat TM images. Information on topography properties of the region was obtained from the ASTER global operational product.NDVI and RI analysis indicated a moderate vegetation recovery to pre-fire patterns, with regeneration to over 60% of the pre-fire levels 8-years after the fire. Regression analysis of pre- and post-fire mean NDVI exhibited significant re-growth in the first 3 years after the fire with a more gradual return in later years (an increase of 0.400 in R² by 2006 compared to only an increase of 0.129 for the subsequent 5 years). Re-growth rates appeared to be somewhat higher in north-facing slopes in comparison to south facing ones. As expected, NDVI decline due to fire was positively correlated with burn severity class, whereas negative correlation was found between damage and regeneration ability (recovery after 3 years = low severity 64%/high severity 58%, recovery after 8 years = low severity 72%/high severity 70%). To our knowledge, this study is one of the few attempting to explore the interrelationships of post-fire vegetation regrowth, topography and burn severity, especially in the case of a single large fire. RI based on control plots provides a valuable tool to quantify fire impact and subsequent vegetation regrowth. Furthermore, indication of burn severity is useful for strategically rehabilitating areas of slow or unsuitable post-fire vegetation recovery. This study corroborates the significance of EO technology as a successful and cost-effective solution in providing information related to economic and environmental post-fire regeneration assessment.     

基于Bernese软件对卫星定轨实时计算

利用GPS广播星历计算卫星坐标是GPS实时定位中的重要部分,卫星轨道精度对GPS定位结果有很大影响。依据Bernese卫星定轨流程,利用Fortran语言实现了卫星轨道处理程序,并通过实例对计算得到的卫星轨道坐标与Bernese5.0软件处理的广播星历和精密星历得到结果进行比较分析,误差均小于±2.5m,程序定位效果良好,证实了自编程序的可行性。     

卫星导航系统抗干扰问题研究

针对卫星导航系统的脆弱性和干扰来源,对卫星导航系统的抗干扰技术进行了研究,重点对接收机天线、射频前端、基带处理三大模块的抗干扰技术以及自适应滤波技术进行介绍和分析,对各类抗干扰技术所能抑制的干扰类型、抗干扰原理、发展状况进行阐述。分别总结了窄带干扰、宽带干扰、多径干扰适用的抗干扰技术、研究热点及存在的问题,提出了卫星导航系统抗干扰技术的发展趋势。     

用lageos1和lageos2激光测距资料联合解地球定向参数

为了响应国际地球自转服务中心(IERS)和国际激光测距服务中心(ILRS)的呼吁，上海天文台天文地球动力学研究中心参加了对激光测距卫星lageos1、lageos2的资料的分析、计算，提交了关于地球定向参数(EOP)(1998—2001)的联合(1ageos1、lageos2)解算结果报告：(SHAO)2002L01，利用更精细化的和改正了的计算EOP的模型，获得了EOP(SHAO)2002L01系列，该系列与同时期的IERS的EOP(IERS)C04相比，符合程度：极移Xp、Yp好于0．35mas，日长变化Du好于0．030ms。     

浅谈遥感三维飞行数据模型及其在自然灾害监测与评估中的作用

采用PCI遥感图像处理软件，以山东省1：25万国土基础信息数据库部分要素的矢量数据作为控制底图，利用多项式纠正法纠正TM影像，用其等高线生成DEM。在FLY模块下，分别装入纠正好的TM影像和DEM，即可生成遥感信息三维飞行数据模型。该模型真实地再现了地貌形态以及遥感影像上的山川、河流、道路和村庄。这些信息是领导正确指挥防洪、泄洪的科学依据，是自然灾害的快速监测与评估的有力技术支柱。     

一种新的高精度全球对流层天顶延迟模型

对流层延迟是影响高精度卫星导航定位的关键因素,也是大气科学研究的重要数据.针对已有全球对流层延迟模型的模型方程未同时顾及高程、纬度和季节变化以及模型构建时仅使用单一格网点数据等问题,本文提出了一种对流层天顶延迟(ZTD)全球模型构建的新方法,即引入滑动窗口算法将全球剖分为大小一致的规则窗口,利用2008—2015年全球大地观测系统(GGOS)大气格网产品构建每个窗口同时顾及高程、纬度和季节因子的全球ZTD新模型(GGZTD模型).联合未参与建模的2016年全球GGOS格网产品和2016年全球316个IGS站精密ZTD产品,检验了GGZTD模型的精度和适用性.结果表明:以GGOS大气格网ZTD产品和IGS站ZTD产品为参考值,GGZTD模型在全球的精度分别为3.58 cm和3.62 cm,相对于UNB3m模型和目前标称精度最优的GPT2w模型计算的ZTD信息,GGZTD模型在全球表现出了最优的精度和稳定性,其精度相对于UNB3m模型具有显著的提升(精度提高了30%以上),相对于GPT2w模型仍具有一定的改善;在ZTD计算时GGZTD模型相对于GPT2w模型显著地减少了模型参数,尤其相对于GPT2w-1(减少了99%).GGZTD模型只需输入位置与时间和依赖相对较少的模型参数则能在全球获得高精度和稳定的ZTD信息,极大地提升了模型的计算效率.     

基于SVM的资源三号测绘卫星影像分类

以江苏省宜兴市为研究区,利用支持向量机(SVM)方法对资源三号测绘卫星影像进行了分类,其总分类精度为97.76%,Kappa精度为0.968 7。为了评价算法的适用性,同时应用最大似然法与最小距离法对同一影像进行分类测试,支持向量机分类法精度高于其他2种方法,可以满足土地覆盖分类调查需求。