一幅新的第四纪地质及地貌图的编制——以宁夏与山东为例

为了更好地与生态环境及灾害地质紧密结合,第二代全国区域地质志编制项目规定第四纪地质及地貌图为必编图件之一。图件内容包括第四纪地质体的时代、成因类型、岩性和地貌成因形态组合类型、活动断裂及海侵范围等重要地质内容,同时,附第四纪地质-地貌典型剖面和重要的地貌景点。图件特点:(1)图件的地理底图是首次用数字高程模型(DEM)数据灰度图作背景;(2)第四纪地质内容与地貌成因形态类型同编为一幅图;(3)第四纪地质体的面色用成因类型色表示;(4)地貌部分划分了不同级别成因形态类型和有特色的微地貌景点。总之,图面有立体感,地形高差明显,层次分明,色彩鲜艳,是一幅崭新的图件,可供防灾治理和地质旅游参考应用。     

Bias estimation and correction for triangle-based surface area calculations

The calculation of surface area is meaningful for a variety of space-filling phenomena, e.g., the packing of plants or animals within an area of land. With Digital Elevation Model (DEM) data we can calculate the surface area by using a continuous surface model, such as by the Triangulated Irregular Network (TIN). However, just as the triangle-based surface area discussed in this paper, the surface area is generally biased because it is a nonlinear mapping about the DEM data which contain measurement errors. To reduce the bias in the surface area, we propose a second-order bias correction by applying nonlinear error propagation to the triangle-based surface area. This process reveals that the random errors in the DEM data result in a bias in the triangle-based surface area while the systematic errors in the DEM data can be reduced by using the height differences. The bias is theoretically given by a probability integral which can be approximated by numerical approaches including the numerical integral and the Monte Carlo method; but these approaches need a theoretical distribution assumption about the DEM measurement errors, and have a very high computational cost. In most cases, we only have variance information on the measurement errors; thus, a bias estimation based on nonlinear error propagation is proposed. Based on the second-order bias estimation proposed, the variance of the surface area can be improved immediately by removing the bias from the original variance estimation. The main results are verified by the Monte Carlo method and by the numerical integral. They show that an unbiased surface area can be obtained by removing the proposed bias estimation from the triangle-based surface area originally calculated from the DEM data.     

基于无人机载LiDAR的采煤沉陷监测技术方法——以宁东煤矿基地马连台煤矿为例

探索采煤地表沉陷的高新监测技术方法是推动采煤沉陷监测的重要工作,无人机载LiDAR采煤塌陷监测技术是无人机与LiDAR构建的一种新型低空三维空间测量技术。以宁东煤炭基地马莲台煤矿采煤沉陷区为例,采用无人机机载LiDAR监测技术获取了2017年4月及8月2期三维点云数据,通过数据三维建模和沉降信息提取,得到了地面沉陷情况的三维立体图,监测出了3处地面沉降区,并利用实测水准点和已有GPS自动监测站数据,对该技术监测地面沉降的精度进行评估。研究结果表明,无人机机载LiDAR监测技术方法可满足采煤塌陷的立体监测需求,具有机动灵活、成本低、效率高、精度高等特点,未来可在类似地区推广应用。     

利用地面LiDAR精细化测量活断层微地貌形态——以毛垭坝断裂禾尼处断层崖为例

受地壳内部持续运动和沉积、风化等自然动力及人类生产与生活活动影响,活断层微地貌形态往往比较复杂,传统测量方法较难快速、高效地获取大范围内精细化的活断层微地貌形态,激光雷达扫描技术的出现和发展为活断层微地貌的精细化与定量化研究提供了新的技术手段。以川西理塘毛垭坝盆地北缘的正断层崖为研究对象,利用地面LiDAR获取活断层微地貌高精度点云后,经过点云配准、滤波、重采样和三角构网处理后,建立了0.05 m分辨率的数字高程模型和真彩色三维模型,在此基础上分析了断层崖地貌特征,并获取了正断层错动两期最新地貌面的精确垂直位错量。研究结果表明,地面LiDAR技术是精细测量活断层微地貌形态和量化相关地貌特征参数的有效手段,提高了活断层微地貌形态测量的精度和认识水平。     

视景地形仿真及其应用

本文主要讨论了视景地形仿真的特点、数据基础及其实现的整个过程，列举了视景地形仿真在军事上和其它领域的应用实例。实验表明，本文所介绍的视景地形仿真过程简单而容易实现，仿真的地形景观具有良好的视觉效果。     

青藏高原DEM的生成与应用

数字高程模型（DEM）不仅可以实现三维地形可视化，而且还能由其进一步获得与高程有关的地形要素。针对青藏高原DEM生成和应用过程中碰到的数据量大、区域广阔、应用难度大等问题，本文给出了相应的解决方案，提出一套DEM制作和应用流程：以1：25万地形图矢量等高线数据内插方式生成青藏高原DEM数据，在此基础上，运用Mask处理后相交分析思想与多级金字塔、DEM水淹分析、高程分带等处理技术实现了青藏高原三维地形可视化、三维遥感影像制作、及其它生态地质环境因素的变化分析。基于此方法生成的青藏高原DEM数据，不仅精度高，三维地形可视化效果好，而且解决了海量DEM数据与其它资料综合分析的问题。     

基于3DSMAX环境的3维场景重建工具

介绍了3DSMAX中利用DEM和数字正射影像重建真实3维场景的方法，通过MAXScript和VC混合编程，在3DSMAX4.0环境中构建了一个3维环境重建工具，利用该工具可以导入Leica/HelavaDPW数字投影测量工作站采集的DEM数据和建筑物数据，自动生成地形模型和建筑物模型，重建真实的3维场景，该工具支持DXF、DSW等通用CAD数据的输入，并可以把场景数据输出为虚拟现实造型语言（VRML）文件。     

一种基于视觉特征的地形模型数据提取与快速显示方法

DEM模型是一种重要的地形模型，由于其数据量极其巨大，如何实现快速显示是一个难题。针对DEM地形模型，提出基于视点与观察分辨率的数据抽取及基于法矢量的模型简化的快速绘制方法算法，最后进行实验验证。结果表明，该方法数据压缩量大，绘制速度快，且逼真度无明显变化。     

Multiresolution Terrian Model in GIS

DEM, which becomes a major component of geographic information processing in earth and engineering sciences, has been studied in the GIS literature for a long time. We use DEM to represent the terrain in GIS. The more data are available, the better representations of a terrain can be built. But not all tasks in the framework of a given application necessarily require the same accuracy, and even a single task may need different levels of accuracy in different areas of the domain. Multiresolution models, such as LOD, offer the possibility of representing and analyzing a terrain at a range of different levels of detail. In this paper, some key issues in multiresolution DEM model are studied. Three main models are focused on Hierarchical TIN(HTIN), multiresolution terrain model based Delaunay and Hierarchical Dynamic Simplification. The advantages and disadvantages of these methods are analyzed. The technology of tile to tile edge match is studied to maintain the consistency between adjacent edges and tile edges in HTIN model. And the Hypergraph based Objected oriented Model(HOOM) is presented to divide and code spatial area and describe the terrain feature in adding and deleting points based on Delaunay rule retriangulating. The conclusions have been drawn in the end.     

1:50000 数字高程模型(DEM)的质量控制

通过 1:5 0 0 0 0数字高程模型生产实践 ,对生产过程中容易出现问题的环节提出了相应的质量控制方法