数字地形模型数据产品特点 与评估分析

数字高程模型是支撑地理过程模型研究的重要基础数据。DEM数据获取、加工及压缩精度直接影响地学相关模型及地理过程的模拟效果和研究质量。在分析比较当今国际地学界应用DEM数据源的基础上，我们采用绝对差值法和三维剖面法对国家基础地理信息中心生产的基于1：50,000扫描地形图DEM产品(NFGIS_DEM)、GTOPO30_DEM数据及基于SRTM数据生产的DEM数据集进行了精度检验及评估。同时分析了影响由SRTM数据所生产的全球范围DEM数据集精度与数据质量。研究结果表明30-90m分辨率的SRTM_DEM产品在精度和数据质量控制方面远优于GTOPO30_DEM数据，与NFGIS_DEM数据质量相当。大范围乃至全球范围的30m分辨率SRTM_DEM产品，将极大促进基于DEM数据的地理过程模型的研究，尤其会大幅提升对DEM空间分辨率较敏感的地学相关研究能力。     

资源三号卫星DEM数据与全球开放DEM数据的误差对比

全球开放DEM数据为数字地形分析提供了重要数据源。与已有的全球开放DEM数据相比,资源三号卫星具有更高的空间分辨率、更大的覆盖范围和更好的现势性。将资源三号卫星生成的DEM数据与全球开放DEM数据进行误差对比则为基于资源三号卫星的全球DEM数据研制提供科学依据。本文以山西省中部太原市为研究区,基于高精度激光点云数据生成DEM为参考数据,对资源三号卫星影像生成的DEM数据与全球典型的开放DEM数据(AW3D30、SRTM1和ASTER GDEM)的误差进行了对比分析,并获得了其在不同坡度等级下绝对误差与相对误差的平均值、平均绝对值、均方根值和标准偏差值。研究结果表明:①4种DEM数据的误差分布均具有较好的对称性。同时,平均误差接近于0 m,SRTM1和ASTER GDEM数据更是如此。因此均方根误差值与标准偏差值近似一致;②资源三号DEM具有最高的精度,误差最小(均方根误差4.6 m)。其次为AW3D30数据(均方根误差5.6 m)和SRTM1数据(均方根误差8.8 m)。ASTER GDEM数据误差最大(均方根误差12.6 m),精度最差;③资源三号DEM、SRTM1和ASTER GDEM数据的误差均随坡度的变大而增大,而AW3D30数据误差随着坡度增加呈现先减小后增大的趋势。总体上,与其他3种DEM数据相比,资源三号DEM在所有坡度范围均具有最小的误差值。     

基于高斯过程回归的SRTM数据空洞填补方法

针对现有插值方法对复杂地表模拟能力不足的问题,发展了一种基于非平稳(神经网络)核的高斯过程回归(GPR)方法,并将其应用于SRTM DEM空缺数据填补。以山区SRTM DEM的模拟数据空洞为研究对象,将GPR模拟结果与传统插值方法(TIN、SPLINE和IDW)比较表明:GPR填补精度高于传统插值方法,且空缺区域模拟曲面较好的保持了地形特征。     

顾及地形坡度的SRTM和ASTER加权融合

为了克服现有SRTM和ASTER各自缺陷,提升公共DEM精度,本文提出了一种顾及地形坡度的SRTM和ASTER加权融合方法。首先对两种DEM进行地理配准;然后计算不同坡度等级下SRTM和ASTER的高程误差,并得到DEM融合权重;最后采用加权平均法对SRTM和ASTER进行融合。高精度控制点的检验表明:融合后DEM精度有明显提高,相比于原始SRTM和ASTER高程误差,标准差分别降低了5.65 m和1.20 m。     

三峡库区蓄水后地壳垂直变形场的模拟与分析

基于三峡库区DEM及现有GPS站点位置坐标数据,建立了三峡库区有限元网格模型,采用弹性有限元分析方法模拟计算水库蓄水至135 m1、56 m和175 m时库区地壳的垂直形变场;随后根据Farrell提出的质量负载原理产生的地壳形变理论计算库区蓄水至135 m时的库区垂直形变场;通过两种模拟方法对比可以看出变形等值线圈都包络河谷线,变形最大处都出现在香溪段,同时区域沉降是一个综合地质作用,水体的重力作用是主要诱因。     

Quantitative assessment of remotely sensed global surface models using various land classes produced from Landsat data in Istanbul

Digital elevation model(DEM) is the most popular product for three-dimensional(3D) digital representation of bare Earth surface and can be produced by many techniques with different characteristics and ground sampling distances(GSD). Space-borne optical and synthetic aperture radar(SAR) imaging are two of the most preferred and modern techniques for DEM generation. Using them, global DEMs that cover almost entire Earth are produced with low cost and time saving processing. In this study, we aimed to assess the Satellite pour l'observation de la Terre-5(SPOT-5), High Resolution Stereoscopic(HRS), the Advanced Space-borne Thermal Emission and Reflection Radiometer(ASTER), and the Shuttle Radar Topography Mission(SRTM) C-band global DEMs, produced with space-borne optical and SAR imaging. For the assessment, a reference DEM derived from 1∶1000 scaled digital photogrammetric maps was used. The study is performed in 100 km2 study area in Istanbul including various land classes such as open land, forest, built-up land, scrub and rough terrain obtained from Landsat data. The analyses were realized considering three vertical accuracy types as fundamental, supplemental, and consolidated, defined by national digital elevation program(NDEP) of USA. The results showed that, vertical accuracy of SRTM C-band DEM is better than optical models in all three accuracy types despite having the largest grid spacing. The result of SPOT-5 HRS DEM is very close by SRTM and superior in comparison with ASTER models.     

Analysis of SRTM data as an aid to hydrocarbon exploration in a frontier area of the Amazonas Sedimentary Basin,northern Brazil

The Shuttle Radar Topography Mission (SRTM) provided an unprecedented source of space-borne topographic information that has shown to be of particular interest for studies in densely vegetated tropical areas, such as Central Amazonia. The digital elevation models produced in that region show subtle details of the terrain that usually appear blurred in conventional remote sensing images. Interpretation of an SRTM-derived drainage network and geomorphometric features revealed several drainage anomalies, which are possibly the surface expression of buried morphostructural features. Integration with geological and geophysical ancillary data strongly suggested that interpreted features constitute potential structural sites for hydrocarbon exploration. However, due to their inferred nature, the structures herein identified are not by themselves a justification for drilling. However, they do provide information for planning seismic surveys, thus reducing costs of the exploration campaigns, as well as minimizing potential environmental impacts of such an enterprise in areas of tropical rain forests. Despite the relatively small size of the study area, it is expected that procedures presented in this paper can be successfully applied throughout the approximately 1,000,000 km² of sedimentary basins in the Brazilian Amazonian region.     

Geomorphological evidence for the Late Holocene evolution and the Holocene lake level maximum of the Aral Sea

During the Holocene the Aral Sea underwent various transgressive and regressive phases of different magnitudes. However, previous work has not yet fully clarified the evolution and chronology of the individual phases. Research presented here throws light on the evolution of the Aral Sea during the past  2000 years. It includes field surveys, tachymetric and DGPS-derived altitude measurements, analysis of sediments from two areas of the northern and southern Aral Basin (Tastubek Bay and Karaumbet Bay), and their correlation with GIS-based lake area models. Geomorphological and sedimentological evidence from the study areas shows a transgression of the Aral Sea around 200 AD, ending at a lake level maximum of 54 to 55 m. After a medieval regression, the lake reached this level again between the late 16th and early 19th century AD. The digital elevation model SRTM-3 was used to estimate a lake size of 72,400 km² for the lake level maximum.Elevated palaeoshorelines, specifically at 72–73 m, are completely absent in the study areas. Local remains of escarpments at elevations of 66 m and 73 m are due to resistant Miocene caprock and are therefore not interpretable as shoreline features.     

改进新一代天气雷达低层探测能力研究

为进一步改进新一代天气雷达低层探测性能和提高风暴顶高的准确性,利用SRTM(Shuttle Radar TopographyMission)地理信息数据,研究和设计新一代天气雷达的体扫模式,主要是增加中低层仰角数和负仰角,以提高我国新一代天气雷达的低层探测能力。选取福州、龙岩两部雷达为例来计算降水模式的仰角,得出两部雷达新的观测模式VCP12。通过观测试验表明,增加低仰角或负仰角后,能够提高雷达的低层探测性能。     

基于SRTM的SNOW—TOPMODEL模型在玛纳斯河流域的应用

基于分辨率90m网格的玛河流域SRTM数据,提取了玛纳斯河流域的河网和地形指数,生成的河网与实际河网基本接近。将加入融雪模块TOPMODE应用于玛河流域,对模型计算结果进行误差评价并分析误差产生的原因。由玛纳斯河流域应用加入融雪模块的TOPMODEL模型可以看出,该模型在玛纳斯河流域有较好的适应性,可以将此模型应用于玛纳斯河流域的洪水预报。