Potential of Satellite Remote Sensing and GIS for Landslide Hazard Assessment in Southern Kyrgyzstan (Central Asia)

Big landslides are one of the main natural hazards in Kyrgyzstan, which are concentrated in the foothills of the high mountain ranges along the Eastern rim of the Fergana Basin. Because of the high number of landslides and their occurrence over large areas there is a strong need for effective and objective landslide hazard assessment at a regional scale. In Kyrgyzstan satellite remote sensing data represent the only source of multitemporal information about surface conditions covering large areas. Against this background the goal is the development of a satellite remote sensing and GIS-based system for quantitatively oriented and spatially differentiated hazard assessment. During the presented pilot investigations in the area of the Upper Maili Suu river basin a methodological framework has been developed incorporating remote sensing and GIS techniques for various levels of information extraction. So far, methodological investigations have been focused on the potential of satellite remote sensing data from different optical (Landsat-(E)TM, ASTER, MOMS-2P) and radar (ERS-1/2) systems for the creation of an improved knowledge basis for hazard assessment. This includes landslide identification, generation of topographic information and characterization of the geological setting. The derived primary information have been analyzed in a GIS environment to gain an improved process understanding as a main prerequisite for successful hazard assessment. The results show that currently available satellite remote sensing data are suitable for landslide investigation in Kyrgyzstan. Full exploitation of their information potential requires combined analysis with other thematic information based on methods of interactive and automated information extraction.     

MAPGIS7-IMS SOA平台的二次开发相关技术与应用

通过对武汉中地数码公司推出的新一代MAPGIS7-IMS SOA平台功能进行了充分研究基础上进行了二次开发。详细介绍了该平台二次开发应用到的主要技术方法,包括Web Service、Ajax技术、HTML语言、CSS样表、JAVAScript脚本语言、DOM模型、VML语言、XML语言、JSP技术和数据库技术等,并且应用这些技术方法在MAPGIS7-IMS SOA平台的基础上二次开发出了青藏高原1:25万区域地质空间数据库管理系统,给出了该系统开发的示例。     

北京一号小卫星图像镶嵌处理技术研究

介绍北京一号小卫星数据的特点及应用情况,分析了卫星图像镶嵌处理技术流程,对其中的技术难点,如去条带处理、几何校正、图像拼接及色彩平衡等进行了重点探讨并提出解决办法。利用北京一号小卫星数据将两幅多光谱影像进行了镶嵌处理,得到了一幅覆盖整个研究区的新影像,镶嵌影像色彩丰富、层次感好、信息量大。     

国外遥感卫星发展简介(1)

从美国发射其第一颗遥感卫星一陆地卫星－1算起的30余年里,世界范围内商业遥感卫星技术已经有了巨大的进步,越来越多的国家和国际团体拥有自己的遥感卫星。除了更多各类的遥感器得以使用外,卫星的图像分辨率和覆盖能力也有了很大的改进。未来的发展更加令人振奋。国外遥感卫星（包括已经发射和计划要发射的卫星）简介是根据从国内外出版物中获得的信息整编而成,旨在给遥感应用提供一个现在和未来图像信息源的总的概念。     

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CHARACTERISTICS OF SATELLITE GRAVITY FIELD AND SEISMOGENIC MECHANISM IN THE LONGMENSHAN FAULT ZONE

Longmenshan fault zone is a famous orogenic belt and seismic zone in the southeastern Tibetan plateau of China. The Wenchuan M_S8.0 earthquake on May 12, 2008 and the Ya'an M_S7.0 earthquake on April 20, 2013 occurred in the central-southern part of Longmenshan fault zone. Because of its complex geological structures, frequent earthquakes and special geographical locations, it has attracted the attention of many scholars around the world. Satellite gravity field has advantages in studying gravity field and gravity anomaly changes before and after earthquake. It covers wide range, can be updated regularly, without difficulty in terms of geographical restrictions, and is not affected by environmental factors such as weather, terrain and traffic. Therefore, the use of high-precision Earth satellite gravity field data inversion and interpretation of seismic phenomena has become a hot topic in earth science research. In order to understand satellite gravity field characteristics of the Longmenshan earthquake zone in the southeastern Tibetan plateau and its seismogenic mechanism of earthquake disasters, the satellite gravity data was used to present the terrain information of the study area. Then, by solving the regional gravity anomaly of the Moho surface, the crustal thickness of the study area was inverted, and the GPS velocity field data was used to detect the crustal deformation rate and direction of the study area. Combining the tectonic setting of the Longmenshan fault zone and the existing deep seismic sounding results of the previous researchers, the dynamic characteristics of the gravity time-varying field after the earthquake in the Longmenshan earthquake zone was analyzed and the mechanism of the earthquake was explored. The results show that the eastward flow of deep materials in the eastern Tibetan plateau is strongly blocked at the Longmenshan fault zone. The continuous collision and extrusion process result in a "deep drop zone" in the Moho surface, and the long-term stress effect is conducive to the formation of thrust-nappe and strike-slip structures. The Longmenshan earthquake zone was in the large-scale gradient zone of gravity change before the earthquake, the deep plastic fluid material transport velocity differed greatly, the fluid pressure was enhanced, and the rock mechanical strength in the seismic source region was weakened, which contributed to the intrusion of crustal fluid and the upwelling of the asthenosphere. As a result, the continuous accumulation of material and energy eventually led to continuous stress imbalance in the deep part and shear rupture of the deep weak structure, causing the occurrence of the thrust-nappe and strike-slip earthquake.     

内编队重力场测量系统轨道参数与载荷指标设计方法

内编队系统通过构造内卫星纯引力轨道完成高精度重力场测量,实现了不依赖于加速度计的重力卫星实施新途径.针对内编队系统轨道参数和载荷指标设计任务,从定性的角度分析了轨道高度、轨道倾角、偏心率等轨道参数的选择原则,以及外卫星定轨精度、内外卫星相对状态测量精度、内卫星非引力干扰抑制精度、系统采样率等载荷指标对内编队重力场测量性能的影响,并建立了这些参数之间的匹配关系.为获取内编队系统轨道参数和载荷指标的定量设计结果,给出了内编队重力场测量数据模拟和反演计算方法.结合轨道参数和载荷指标对重力场测量性能的影响及其匹配关系,提出了由解析推导和数值计算相结合的方法,获取重力场最高反演阶数、大地水准面精度、重力异常精度等重力场测量性能与轨道参数、载荷指标之间的解析关系,并给出了该解析关系的具体数学形式.与解析法、半解析法相比,该公式由解析推导和大量数值计算得到,因而考虑的影响因素更加全面,计算结果更加合理,可用于快速准确设计内编队系统轨道参数和载荷指标.     

小卫星数据的变化监测能力分析

为了促进小卫星数据在地质灾害监测中的应用与推广,本文以监测采矿图斑变化为目标,通过对北京地区的2006年和2007年两期北京一号小卫星4m全色影像采用正射校正、配准和迭加对比的方法发现变化信息。结合1∶50 000影像图、野外调查和测量,确定变化图斑的边界、变化原因和规模,并对小卫星全色图像的变化监测能力进行分析和总结。本文通过对小卫星4m全色影像数据的分析,基本上可以概括出其变化监测能力。     

基于卫星遥感图象纹理特征的云类识别方法及软件设计

介绍了基于卫星遥感资料,运用纹理学识别云类的原理、方法及软件设计。理论与实际分析表明,不同的云类对纹理敏感,纹理特征量是识别云类的良好因子,软件设计充分考虑了模块化,可视化与交互性。     

NOAA卫星沙尘暴光谱特征分析及信息提取研究

通过对2000—2002年多次沙尘暴过程NOAA卫星AVHRR资料的分析,研究了沙尘、云、沙漠、戈壁、积雪、裸地、植被等不同目标物的光谱特性,发现沙尘暴在AVHRR-2中各通道均有不同程度的反映。1,2通道中沙尘的反射率较高(介于云和沙漠之间);4,5通道的亮温低于晴空地表高于云;在3通道中沙尘表现的很独特,其亮度温度为所有研究目标物中最高的,表明通道3包含较多的沙尘信息,AVHRR-3取代AVHRR-2后对监测沙尘有不利影响。在此基础上提出定量提取沙尘信息的两种沙尘判识指数,并利用沙尘判识指数成功地提取多次沙尘暴过程的沙尘信息。结果表明：利用多通道组合沙尘判识指数能够对沙尘信息进行有效提取。