Geomorphometry and fractal dimension of a riverine badland in Maharashtra

One of the most serious limitations in studying the surface morphometry of a badland landscape is the nonavailability of a very fine resolution data which is essential for such types of studies. Local relief of most of the badlands in India and also from other parts of the world exhibit limited relief amplitude, often within a few meters. The paper reports a case study carried out in a riverine badland formed along the Western Deccan Trap Region. An attempt has been made in the present paper to extract the morphometric variables of the landscape from the DEMs derived from a high resolution field generated data, because the accuracy of the DEM derived values are dependent on the pixel resolution of the DEM from which they are generated. The size of the pixel resolution should be fixed differently for different landscapes depending on the landscape process in the area. The local relief of the area is around 10 m and for such types of landscapes the topographical maps and also the web-available DEMs are of very coarse resolutions which are not suitable for the analysis. Therefore two well defined tributary catchments were chosen from the area under investigation and theodolite surveys were carried out, contours were generated with 10 cm interval, DEMs were derived by using Arc GIS software. SRTM (Shuttle Radar Topography Mission) 90 m resolution data were utilized to generate DEM for the whole basin. Hypsometric and the drainage basin parameters were extracted from these data by using the same software. Fractal dimension of the whole basin and the sample basins were also obtained for the same data. The morphometric data generated were used to understand the geomorphic processes operating in the area.     

Laurentia crustal motion observed using TOPEX/POSEIDON radar altimetry over land

A new method to estimate the vertical crustal motion from satellite altimetry over land was developed. The method was tested around Hudson Bay, where the observed vertical motion is largely caused by the incomplete glacial isostatic adjustment (GIA) as a result of the Laurentide ice sheet deglaciation since the last glacial maximum (LGM). Decadal (1992–2003) TOPEX/POSEIDON radar altimetry data over land surfaces were used. The results presented here are improved compared to a previous study (Lee, H., Shum, C.K., Kuo, C.Y., Yi, Y., Braun, A., 2008. Application of TOPEX altimetry for solid Earth deformation studies. Terr. Atmos. Ocean. Sci. 19, 37–46. doi:10.3319/TAO.2008.19.1-2.37(SA).) which estimated vertical motion only over relatively flat land surfaces (standard deviation of the height variation <40 cm). In this study, we extended the concept of traditional 1-Hz (one-per-frame) radar altimeter ocean stackfiles to build 10-Hz (10-per-frame) land stackfiles over Hudson Bay land regions, and succeeded in obtaining vertical motion estimates over much rougher surfaces (standard deviation of the height variation <2 m). 90-m C-band Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) is used as a reference surface to select an optimal waveform retracker, to correct surface gradient errors, and to calculate land surface anomalies. Here, we developed an alternative retracker, called the modified threshold retracker, resulting in decadal vertical motion time series over a 1500 km by 1000 km region covering northern Ontario, northeastern Manitoba, and the Great Lakes region which is at the margin of the former Laurentide ice sheet. The average of the estimated uncertainties for the vertical motion is 2.9 mm/year which is comparable to 2.1 mm/year of recent GPS solutions. The estimated vertical motion is compared with other geodetic observations from GPS, tide gauge/altimetry, GRACE, and several GIA models. The data agree best with the laterally varying 3D GIA model, RF3S20 (β = 0.4) whereas the combination of land altimetry solution with other measurements match best with the models RF3S20 (β = 0.0) or RF3S20 (β = 0.2) in terms of mean and standard deviation of the differences. It is anticipated that this innovative technique could potentially be used to provide additional constraints for GIA model improvement, and be applied to other geodynamics studies.     

SRTM约束的无地面控制立体影像区域网平差

针对SRTM(shuttle radar topography mission)数据在平坦地形或局部区域的高程精度远远高于其标称精度的特点,研究设计了一种无地面控制条件下利用SRTM作为高程约束的立体区域网平差方法。通过构建一个较大范围区域网并匹配密集连接点,将SRTM作为连接点物方高程初值,并在平差解算过程中确保分布于地形平坦区域(根据经验,在该类区域SRTM精度较高)的连接点的物方高程严格趋近SRTM高程,最终实现大范围区域内影像高程精度的整体提升。通过以覆盖湖北省全境的资源三号卫星三线阵立体影像作为试验影像的试验验证表明,采用该平差方案,在无地面控制点条件下资源三号立体影像的高程中误差从7.2m提升到2.0m,其中地形平坦区域高程中误差1.44m,山地区域高程中误差3.0m,达到了我国1∶25 000比例尺测图应用的高程精度要求。     

对SRTM3和GTOPO30地形数据质量的评估

高分辨率的地形数据在基础地理信息系统、地球重力场建模和大地水准面求定等工程中至关重要。SRTM有3″×3″(SRTM3)和1″×1″(SRTM1)两种分辨率。就全球而言,SRTM3的原始数据已于2004年解密。SRTM3的高程基准是EGM96的大地水准面,平面基准是WGS84;标称绝对高程精度是±16m,绝对平面精度是±20m。SRTM3的数据只覆盖60°N至54°S带状区域内的DSM。对覆盖全球的GTOPO30的DTM也作了概要介绍。     

高分辨地形对华南区域GRAPES模式地面要素预报影响的研究

华南区域GRAPES模式动力框架的更新使得高分辨地形数据能够进入模式。引入SRTM数据实现静态数据更新,结合模式内置数据,进行了批量模拟试验;通过站点检验方式,对批量试验结果进行对比,得出以下结论:对比业务使用的Topo10 m地形、Topo30 s地形、SRTM地形和基于SRTM多种插值方案得到的地形,海拔偏差的空间分布和分位数统计都有明显的改善,复杂地形区域的改善效果更显著。通过地面要素平均绝对误差(MAE)箱须图统计和模式西部站点绝对误差(AE)时间序列图对比分析,发现高分辨地形试验的2 m气温和10 m风速MAE和AE有大幅度的改善。高分辨地形对模式静态数据的改善是2 m气温和10 m风速MAE下降的主要原因,地形复杂区域对MAE改善的贡献高于模式其他区域。高分辨地形进入模式后会引起动力过程计算的虚假扰动,适当的滤波平滑能够抑制扰动,从而进一步提高预报精度。      

SPOT HRG影像无控制正射纠正实验与精度分析

本文根据影像正射纠正的基本原理和方法,提出了无控制点条件下的影像正射纠正理论估算公式,并据此公式对无控制条件点下的影像进行正射纠正理论精度估算,表明了在SRTMDEM支持下进行SPOT影像正射纠正具有较高的精度。并按此方法对杭州、重庆和大庆三个不同地形的区域制作DOM,然后利用我国1:1万地形图对其进行精度评定,实验结果证明正射纠正精度估算公式正确,同时利用SRTMDEM对SPOTHRG进行正射纠正得到的影像能够满足1:50000测图精度的要求。     

Vertical accuracy assessment of freely available digital elevation models over low-lying coastal plains

The frequency of coastal flood damages is expected to increase significantly during the twenty-first century as sea level rises in the coastal floodplain. Coastal digital elevation model (DEM) data describing coastal topography are essential for assessing future flood-related damages and understanding the impacts of sea-level rise. The Shuttle Radar Topography Mission (SRTM) and Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model (ASTER GDEM) are currently the most accurate and freely available DEM data. However, an accuracy assessment specifically targeted at DEMs over low elevation coastal plains is lacking. The present study focuses on these areas to assess the vertical accuracy of SRTM and ASTER GDEM using Ice, Cloud, and land Elevation Satellite, Geoscience Laser Altimeter System (ICESat/GLAS) and Real Time Kinematic (RTK) Global Positioning System (GPS) field survey data. The findings show that DEM accuracy is much better than the mission specifications over coastal plains. In addition, optical remote sensing image analysis further reveals the relationship between DEM vertical accuracy and land cover in these areas. This study provides a systematic approach to assess the accuracy of DEMs in coastal zones, and the results highlight the limitations and potential of these DEMs in coastal applications.     

SRTM1 DEM与ASTER GDEM V2数据的对比分析

本文以山西省为实验区,基于ICESat/GLA14测高数据对SRTM1 DEM和ASTER GDEM V2数据的垂直精度进行了对比,分析了其在坡度、土地利用类型和地貌类型中的误差分布情况,并基于地形剖面方法分析了2种DEM数据在地形表达上的差异。研究结果表明：① 在垂直精度上,SRTM1 DEM数据要明显高于ASTER GDEM V2数据,其绝对误差均值分别为4.0 m和7.8 m,标准偏差分别为6.0 m和10.7 m,均方根误差分别为6.1 m和10.7 m。② 这2种DEM数据的精度受坡度影响严重,随坡度值的升高误差增大;SRTM1 DEM的绝对误差均值、标准偏差和均方根误差在水田最小,在林地最大,而ASTER GDEM V2的这3种误差在居民用地最小,在林地最大;SRTM1 DEM 和ASTER GDEM V2的绝对误差均值、标准偏差和均方根误差在平原地区最小,在大起伏山地最大。③ 在平原和台地地区,ASTER GDEM V2数据高程值有异常波动,SRTM1 DEM在起伏山地存在对山谷过高估计。总体上,SRTM1 DEM比ASTER GDEM V2对地形的表达准确,与ICESat/GLA14对地形的描述基本相一致。     

基于SRTM资料的小海岛CFD计算模型构建——以东澳岛为例

提出了一种利用SRTM资料构建海岛CFD计算模型的技术方法,并以珠江口的东澳岛为对象,进行了模型构建试验及边界层风场的数值模拟试验.实验结果表明,SRTM资料作为开源的资料,可有效地解析空间尺度在1 km以内数量级的海岛地形,并可以此为基础构建用于CFD模拟的计算模型,真实地刻画出岛屿的地形.利用计算模型进行的模拟试验表明,岛屿地形对风场的影响明显,且这种影响可以被计算模型有效地描述.所提出的技术未来在海岛风资源评估、风电场选址、污染扩散等领域有望发挥作用.