联合GPS和SARAL卫星测高数据构建南极Dome A区域DEM

南极冰盖数字高程模型(digital elevation model,DEM)对南极环境变化和地形研究具有重要作用,利用GPS实测数据和卫星测高数据建立DEM是构建南极冰盖表面DEM的重要方法。考虑到实测GPS数据的精度较高,而卫星测高的空间分辨率占优,本文探讨综合利用这两种数据构建南极Dome A区域DEM。法国国家空间研究中心和印度空间研究组织共同研制的SARAL卫星是Envisat的后续卫星,搭载的Alti Ka雷达高度计首次采用了Ka波段,可以极大减小电离层的影响,提高测距精度和卫星数据的空间分辨率。本文首先利用中国南极第29次科学考察在Dome A区域的实测GPS数据对SARAL数据进行精度评定,然后利用实测GPS数据对SARAL测高数据进行高程修正,联合GPS数据获取得到了Dome A区域300 m分辨率的DEM。结果表明SARAL的高程精度为0.615 m,而联合GPS数据能改善DEM精度,提高到0.261 m。     

基于光学立体和InSAR的Grove山地区DEM建立和分析

本文分别利用光学立体和In SAR技术生成了东南极Grove山地区15 m分辨率的ASTER DEM和20 m分辨率的In SAR DEM。在利用ASTER立体像对生成DEM的过程中引入ICESat测高数据作为高程控制以减少错误匹配,提高DEM垂直精度;而在利用ERS tandem数据生成DEM后,选取ICESat测高数据对In SAR DEM进行倾斜面纠正,以消除基线不精确估计等带来的影响。通过与未作控制的ICESat测高数据进行比较,评价了两种DEM的精度并对误差进行了分析。同时,比较了两种DEM的差异,并分析了造成这些差异的原因,探讨了两种技术生成南极冰盖DEM的优势和不足。最后结合两DEM的优势,融合生成了Grove山地区高精度的DEM。     

南极数字高程模型研究进展

本文首先结合卫星测高技术的发展,回顾了20多年来南极数字高程模型(DEM)研究发展的历史,并重点介绍了为处理Radarsat南极测图计划(RAMP)SAR影像进行地面验证而制作的高精度RAMP/DEM的构建过程。然后,介绍了南极局部地区,尤其是我国利用地面实测数据及遥感数据在南极地区进行DEM研究的状况。最后,结合冰、云和陆地高程卫星(ICESat)的研究进展,对最新的南极DEM研究进行了展望。     

南极冰盖地形数据库BEDMAP 2述评

南极冰盖物质收支与不稳定性对全球气候变化和海平面升高有着重要影响,而冰盖厚度和冰下地形则是研究南极冰盖的物质平衡、动力及不稳定性极为重要的参数。自20世纪50年代以来,国际上针对南极冰盖开展了大量的冰雷达以及重、磁测量,这些测量结果被汇集并形成冰厚和冰下地形数据库,进而服务于冰盖模式和地球系统研究,最新推出的成果便是BEDMAP 2(Bedrock Mapping Project 2)。首先介绍了BEDMAP 2的数据来源、结构以及数据处理,并讨论了数据的质量评价,然后分析了BEDMAP 2中展示的整个南极冰盖与冰下地形及其特点。最后,对于BEDMAP 2对中国在南极冰盖考察和研究方面的作用进行了一些讨论与展望。     

卫星重力用于南极冰盖物质消融评估

2002年3月发射的GRACE重力卫星,以前所未有的精度和分辨率给出了重力场的时空变化。Jason1重复观测获得海平面的变化,GRACE估计海水质量重新分布引起的海面高变化,两者之差获得比容海面高变化,将该结果与WOA05结果作季节性比较,结果表明CSRRL04,GFZRL04和GRGSGL04三者结果与WOA05结果吻合,优于其他GRACE系列数据。将选取的CSRRL04,GFZRL04和GRGSGL04用于南极冰盖质量变化研究,得到南极冰盖冰雪物质变化的空间分布,结果表明西南极Amundsen区域明显地负增长,南极半岛存在着负增长。估算2003年1月-2007年12月南极冰盖冰雪消融的等效体积变化,变化区间为-76km3/a--69km3/a,对应海平面的贡献变化区间为0.17mm/a-0.21mm/a。     

基于Elmer/Ice冰盖模式的南极Gamburtsev山脉Lambert冰流区域的数值模拟研究

在全球变暖的背景下,东南极冰盖显著地出现降雪增多冰厚增大的现象,然而由于有关东南极冰盖的观测数据相对缺乏,因而很难对东南极冰盖大范围的冰盖动力学、热力学状态细节进行整体性评估。Dome A到中山站断面是横穿南极冰盖计划的核心断面之一。该断面穿越的兰伯特(Lambert)冰川上游、甘布尔采夫(Gamburtsev)冰下山脉和Dome A区域是南极科学研究的热点区域,因此具有重要的研究价值。本研究使用已多次在南极冰盖有过成功模拟应用的三维有限元冰盖模式Elmer/Ice,对该区域的内部温度场和速度场进行了模拟,得到了冰盖的流速场和温度场数据,并将模拟数据与传统估测数据进行了对比,发现两者在总体趋势上吻合。研究表明,该研究区域冰盖的底部温度大部分达到了压力熔点,只有少部分靠近内陆的冰盖底部未达到;在冰盖内陆区域,水平速度场非常小,在靠近冰架区域时,水平速度场突然增大,而垂直速度场只有在冰下地形发生显著波动时,出现显著变化。在此基础上,对Elmer/Ice冰盖模式的应用前景和需改进的方面进行了探讨。     

基于Elmer/Ice冰盖模型的南极Gamburtsev山脉Lambert冰川冰盖系统的数值模式模拟研究

在全球变暖的背景下, 东南极冰盖显著地出现降雪增多冰厚增大的现象, 然而由于有关东南极冰盖 的观测数据相对缺乏, 因而很难对东南极冰盖大范围的冰盖动力学、热力学状态细节进行整体性评估。 Dome A 到中山站断面是横穿南极冰盖计划的核心断面之一。该断面穿越的兰伯特(Lambert)冰川上游、甘 布尔采夫(Gamburtsev)冰下山脉和Dome A 区域是南极科学研究的热点区域, 因此具有重要的研究价值。本 研究使用已多次在南极冰盖有过成功模拟应用的三维有限元冰盖模式Elmer/Ice, 对该区域的内部温度场和 速度场进行了模拟, 得到了冰盖的流速场和温度场数据, 并将模拟数据与传统估测数据进行了对比, 发现 两者在总体趋势上吻合。研究表明, 该研究区域冰盖的底部温度大部分达到了压力熔点, 只有少部分靠近内 陆的冰盖底部未达到; 在冰盖内陆区域, 水平速度场非常小, 在靠近冰架区域时, 水平速度场突然增大, 而 垂直速度场只有在冰下地形发生显著波动时, 出现显著变化。在此基础上, 对Elmer/Ice 冰盖模式的应用前 景和需改进的方面进行了探讨。     

南极冰盖数值模拟研究进展与展望

数值模拟南极冰盖是提升人们认识南极冰盖演化行为的重要手段。通过数值模拟研究可以揭示某些观测数据包含的冰盖物理机理以及在缺乏观测数据的情形下预测冰盖的演化行为。本文在综述南极冰盖数值研究国际进展的基础上,分析了南极冰盖数值模拟方面几个主要模型的特点,特别针对南极冰盖的三维数值模拟展开讨论,分析并探讨了冰盖数值模拟可能会遇到的潜在不稳定源以及在拓展模型研究范围时会遇到的障碍。对目前三维冰盖数值模拟存在的几个问题进行了讨论,并对未来发展进行了展望。     

两种新的基于遥感影像的南极DEM精度比较与分析

南南参考高程模型(Reference Elevation Model of Antarctica,REMA)和TanDEM-X DEM是国际上新发布的两种基于遥感影像的高分辨率数字高程模型(Digital Elevation Model,DEM).采用Cryosat-2卫星测高数据及冰桥计划机载测高数据对两个数字高程模...     

南极冰盖内部等时层研究进展综述

南极冰盖内部等时层记录了不同时期冰盖表面的特征及其演变,蕴含了丰富的冰下环境信息。目前,已成为研究大空间尺度与长时间尺度上南极冰盖演化及其底部环境的重要媒介。地球物理观测和数值模拟技术的综合使用,实现了南极冰盖内部等时层在大陆尺度上的可视化。通过这些内部等时层,冰川学研究将南极冰盖内部的古冰流与千年至百万年时间尺度的地貌及冰下环境的变化细节联系起来,得到了一系列数量化的结果。针对南极冰盖,综述产生内部等时层的冰盖动力学物理机理及其在冰川学上的应用,评估在五个方面的运用:(1)深冰芯断代与选址;(2)冰盖动力学过程;(3)冰盖物质平衡;(4)冰盖稳定性;(5)冰下环境。另外,基于对内部等时层的已有认识,对未来在内部等时层研究中可能需要强化的领域进行了归纳:(1)发展更精细描述并测试内部等时层结构时空变化的数值模拟技术框架面临的挑战;(2)如何从内部等时层蕴含的信息推断鉴别以目前南极冰盖作为初始条件的冰盖质量变化;(3)为获得更高分辨率的内部等时层结构图像,得到关于冰盖内部冰体形变与演化的更多数量化信息,如何强化冰盖冰下环境的重复观测。     

The impact of DEM data source on prediction of flooding and erosion risk due to sea-level rise

Digital elevation model (DEM) elevation accuracy and spatial resolution are typically considered before a given DEM is used for the assessment of coastal flooding, sea-level rise or erosion risk. However, limitations of DEMs arising from their original data source can often be overlooked during DEM selection. Global elevation error statistics provided by DEM data suppliers can provide a useful indicator of actual DEM error, but these statistics can understate elevation errors occurring outside of idealised ground reference areas. The characteristic limitations of a range of DEM sources that may be used for the assessment of coastal inundation and erosion risk are tested using high-resolution photogrammetric, low- and medium-resolution global positioning system (GPS)-derived and very high-resolution terrestrial laser scanning point data sets. Errors detected in a high-resolution photogrammetric DEM are found to be substantially beyond quoted error, demonstrating the degree to which quoted DEM accuracy can understate local DEM error and highlighting the extent to which spatial resolution can fail to provide a reliable indicator of DEM accuracy. Superior accuracies and inundation prediction results are achieved based on much lower-resolution GPS points confirming conclusions drawn in the case of the photogrammetric DEM data. This suggests a scope for the use of GPS-derived DEMs in preference to the photogrammetric DEM data in large-scale risk-mapping studies. DEM accuracies and superior representation of micro-topography achieved using high-resolution terrestrial laser scan data confirm its advantages for the prediction of subtle inundation and erosion risk. However, the requirement for data fusion of GPS to remove ground-vegetation error highlighted limitations for the use of side-scan laser scan data in densely vegetated areas.     

The impact of resolution on the accuracy of hydrologic data derived from DEMs

1 Introduction Automated extraction of drainage features from DEMs is an effective alternative to the tedious manual mapping from topographic maps. The derived hydrologic characteristics include stream-channel networks, delineation of catchment boundaries, catchment area, catchment length, stream-channel long profiles and stream order etc. Other important characteristics of river catchments, such as the stream-channel density, stream-channel bifurcation ratios, stream-channel order, number…     

The impact of resolution on the accuracy of hydrologic data derived from DEMs

Hydrologic data derived from digital elevation models (DEM) has been regarded as an effective method in the spatial analysis of geographical information systems (GIS). However, both DEM resolution and terrain complexity has impacts on the accuracy of hydrologic derivatives. In this study, a multi-resolution and multi-relief comparative approach was used as a major methodology to investigate the accuracy of hydrologic data derived from DEMs. The experiment reveals that DEM terrain representation error affects the accuracy of DEM hydrological derivatives (drainage networks and watershed etc.). Coarser DEM resolutions can usually cause worse results. However, uncertain result commonly exists in this calculation. The derivative errors can be found closely related with DEM vertical resolution and terrain roughness. DEM vertical resolution can be found closely related with the accuracy of DEM hydrological derivatives, especially in the smooth plain area. If the mean slope is less than 4 degrees, the derived hydrologic data are usually unreliable. This result may be helpful in estimating the accuracy of the hydrologic derivatives and determining the DEM resolution that is appropriate to the accuracy requirement of a particular user. By applying a threshold value to subset the cells of a higher accumulation flow, a stream network of a specific network density can be extracted. Some very important geomorphologic characteristics, e.g., shallow and deep gullies, can be separately extracted by means of adjusting the threshold value. However, such a flow accumulationbased processing method can not correctly derive those streams that pass through the working area because it is hard to accumulate enough flow direction values to express the stream channels at the stream's entrance area. Consequently, errors will definitely occur at the stream’s entrance area. In addition, erroneous derivatives can also be found in deriving some particular rivers, e.g., perched (hanging up) rivers, anastomosing rivers and braided rivers. Therefore, more work should be done to develop and perfect the algorithms.     

Evaluation on the accuracy of digital elevation models

There is a growing interest in investigating the accuracy of digital elevation model (DEM). However people usually have an unbalanced view on DEM errors. They emphasize DEM sampling errors, but ignore the impact of DEM resolution and terrain roughness on the accuracy of terrain representation. This research puts forward the concept of DEM terrain representation error (Et) and then investigates the generation, factors, measurement and simulation of DEM terrain representation errors. A multi-resolution and multi-relief comparative approach is used as the major methodology in this research. The experiment reveals a quantitative relationship between the error and the variation of resolution and terrain roughness at a global level. Root mean square error (RMS Et) is regressed against surface profile curvature (V) and DEM resolution (R) at 10 resolution levels. It is found that the RMS Et may be expressed as RMS Et = (0.0061 × V+ 0.0052) × R - 0.022 × V + 0.2415. This result may be very useful in forecasting DEM accuracy, as well as in determining the DEM resolution related to the accuracy requirement of particular application.     

Evaluation on the accuracy of digital elevation models

1 IntroductionDigital elevation model (DEM) is digital representation of relief. It is one of the most important components in the database of GIS. At present, DEM is playing a key role in the field of survey and mapping, remote sensing and almost all the terrain related geographical analyses. DEM can be grouped into regular grids (raster) and triangulated irregular networks (TIN). Both have their advantages and disadvantages in application. It is generally believed that grid DEM will …     

顾及数据特性的格网DEM分辨率计算

水平分辨率是格网DEM的决定性变量之一,直接决定着DEM对地形的逼近程度和地形参数计算、地学模拟的精度。基于地统计学理论和非参数密度估计方法,提出了地形宏观变异和微观变异相结合的DEM适宜分辨率计算方法。即首先按系列支撑对采样数据进行格网划分,形成具有不同尺度的支撑域;然后利用正则化理论,对高程点数据进行正则化变换,通过不同支撑上正则化变量的半变异函数分析,探索不同支撑尺度上的地形宏观变异规律,从而确定地形宏观变异的最佳支撑尺度;第三,在所确定的宏观变异最佳支撑尺度内,借鉴非参数密度估计中直方图的理论方法,从微观角度计算DEM适宜分辨率。最后通过陕北黄土高原的实际采样数据,对本文提出的方法进行了验证。     

不同分辨率DEM提取地面坡度的不确定性模拟:以在黄土高原的试验为例

Slope is one of the crucial terrain variables in spatial analysis and land use planning,especially in the Loess Plateau area of China which is suffering from serious soil erosion. DEM based slope extracting method has been widely accepted and applied in practice. However slope accuracy derived from this method usually does not match with its popularity. A quantitative simulation to slope data uncertainty is important not only theoretically but also necessarily to applications. This paper focuses on how resolution and terrain complexity impact on the accuracy of mean slope extracted from DEMs of different resolutions in the Loess Plateau of China. Six typical geomorphologic areas are selected as test areas, representing different terrain types from smooth to rough. Their DEMs are produced from digitizing contours of 1:10,000 scale topographic maps. Field survey results show that 5 m should be the most suitable grid size for representing slope in the Loess Plateau area. Comparative and math-simulation methodology was employed for data processing and analysis. A linear correlativity between mean slope and DEM resolution was found at all test areas,but their regression coefficients related closely with the terrain complexity of the test areas. If taking stream channel density to represent terrain complexity, mean slope error could be regressed against DEM resolution (X) and stream channel density (S) at 8 resolution levels and expressed as (0.0015S2+0.031S-0.0325)X-0.0045S2-0.155S+0.1625, with a R2 value of over 0.98. Practical tests also show an effective result of this model in applications. The new development methodology applied in this study should be helpful to similar researches in spatial data uncertainty investigation.