钦杭Cu- Au- Pb- Zn- W成矿带（东段）主要地质成矿特征及潜力分析   总被引：3，自引：0，他引：3  

刘一  骆学全  张雪辉  班宜忠  曾勇  周宗尧  楼法生 《地质学报》2016,90(7):1551-1572

钦杭成矿带(东段)是我国重要的成矿带之一。随着地质大调查的开展,新的找矿进展和预测成果不断涌现,需要对其开展系统的成矿区划和部署研究工作。本文以新的研究成果和找矿突破为基础,结合区域成矿地质背景的综合研究,在区内划分了3个Ⅲ级成矿带及8个Ⅳ级成矿带,并论述了8个Ⅳ级成矿单元的成矿地质特征。钦杭成矿带(东段)的成矿作用具有多期成矿的时间分布特征,主要有晋宁、加里东、海西、燕山等4个成矿期,其中燕山期最为重要。区内矿床类型以斑岩-矽卡岩型、海底火山-热水喷流沉积型铜金多金属矿、石英脉型钨锡多金属、火山热液型铅锌金银多金属矿最为重要,还产出有韧性剪切带型(金山金矿)、石英脉型、构造蚀变岩型金矿,海相沉积型铁锰矿等众多矿床类型。结合区域找矿进展和潜力评价最新成果,认为Cu、Au、Ag、W、Mo、Pb、Zn等矿种资源量潜力优势显著。为下一步勘查部署的主攻矿种,同时在本区划分了9个远景区,对研究区下一步矿产勘查部署工作有一定指导意义。  相似文献   

Heterogeneous surface displacement pattern at the Hatchobaru geothermal field inferred from SAR interferometry time-series     

《International Journal of Applied Earth Observation and Geoinformation》2016

We estimated surface displacements using persistent scatterer SAR interferometry (PS-InSAR) around the Hatchobaru geothermal field, Japan, from 18 ALOS/PALSAR images acquired from July 2007 to December 2010. Generally, geothermal fields, covered with natural targets such as rocky terrain and vegetation, have been one of the difficult targets for PS-InSAR analysis. However, we applied space adaptive filtering to increase the number of pixels for measuring surface displacement. The results of our analysis demonstrate ground subsidence with decaying velocity over the observation period around the geothermal field. The spatial pattern of ground subsidence includes sharp boundaries of subsidence that can be interpreted as fault traces. We demonstrated the usefulness of PS-InSAR analysis with the space adaptive filtering to estimate surface displacements with high spatial resolution and high spatial density around a geothermal field.  相似文献   

Landscape pattern and transition under natural and anthropogenic disturbance in an arid region of northwestern China     

《International Journal of Applied Earth Observation and Geoinformation》2016

There is a pressing need to determine the relationships between driving variables and landscape transformations. Human activities shape landscapes and turn them into complex assemblages of highly diverse structures. Other factors, including climate and topography, also play significant roles in landscape transitions, and identifying the interactions among the variables is critical to environmental management. This study analyzed the configurations and spatial-temporal processes of landscape changes from 1998 to 2011 under different anthropogenic disturbances, identified the main variables that determine the landscape patterns and transitions, and quantified the relationships between pairs of driver sets. Landsat images of Baicheng and Tekes from 1998, 2006 and 2011 were used to classify landscapes by supervised classification. Redundancy analysis (RDA) and variation partitioning were performed to identify the main driving forces and to quantify the unique, shared, and total explained variation of the sets of variables. The results indicate that the proportions of otherwise identical landscapes in Baicheng and Tekes were very different. The area of the grassland in Tekes was much larger than that of the cropland; however, the differences between the grassland and cropland in Baicheng were not as pronounced. Much of the grassland in Tekes was located in an area that was near residents, whereas most of the grassland in Baicheng was far from residents. The slope, elevation, annual precipitation, annual temperature, and distance to the nearest resident were strong driving forces influencing the patterns and transitions of the landscapes. The results of the variation partitioning indicated complex interrelationships among all of the pairs of driver sets. All of the variable sets had significant explanatory roles, most of which had both unique and shared variations with the others. The results of this study can assist policy makers and planners in implementing sustainable landscape management and effective protection strategies.  相似文献   

Regional assessment of pan-Pacific urban environments over 25 years using annual gap free Landsat data     

《International Journal of Applied Earth Observation and Geoinformation》2016

Urbanization and the associated change in land cover has been intensifying across the globe in recent decades. Regional studies on the rate and amount of urban expansion are critical for understanding how patterns of change differ within and among cities with varying structure and development characteristics. Yet spatially consistent and timely information on urban development is difficult to access particularly across international jurisdictions. Remote sensing based technologies offer a unique perspective on urban land cover with the data offering significant potential to urban studies due to its consistent and ubiquitous nature. In this research we applied a pixel-based image composite technique to generate annual gap-free surface reflectance Landsat composites from 1984 to 2012 for 25 urban environments across 12 countries in the Pacific Rim. Using time series composites, spectral indices were calculated and compared using a hexagonal grid ring model to assess changes in vegetative and urban patterns. Trajectories were then clustered to further investigate the spatio-temporal dynamics and relationships among the 25 cities. Performance of the clustering analyses varied depended on the temporal and spatial metrics however overall clustering results indicated relatively strong spatio-temporal similarities among a number of key cities. Three pairs of cities—Melbourne and Sydney; Tianjin and Manila; and Singapore City and Kuala Lumpur were found to be highly similar in their urban and vegetation dynamics temporally and spatially. In contrast Vancouver and Las Vegas had no similar analogous. This work demonstrates the value of utilising annual Landsat time series composites for assessing urban vegetation and urban dynamics at regional scales and potential use in sustainable urban planning, resources allocation, and policy making.  相似文献   

遥感模式分类中的空间统计学应用——以面向对象的遥感影像农田提取为例   总被引：4，自引：1，他引：3  

明冬萍  邱玉芳  周文 《测绘学报》2016,45(7):825-833

如何有效地从遥感图像中提取所需信息,是遥感图像处理和应用的关键,而尺度选择问题一直是影响遥感信息提取精度的关键问题之一。本文论述了利用空间统计学方法解决遥感影像模式分类中的尺度问题的理论基础。针对面向对象影像分析问题,将影响遥感影像多尺度分割的尺度分割参数概括为空间属性分割参数、光谱属性分割参数和影像对象面积阈值参数,并分别提出了基于统计学的尺度参数估计方法。以SPOT-5影像面向对象农田提取为例,基于变异函数方法进行了尺度优选试验,系列尺度分类试验结果表明基于空间统计学尺度估计得到的尺度分割结果进行分类能得到最高的精度,进而证明了基于空间统计学方法进行面向对象信息提取尺度估计的有效性。该方法是完全数据驱动的方法,基本不需要先验知识参与。不同于以往分割后评价的尺度选择方法会占用大量计算资源且耗费大量时间,本文提出的方法不仅能在一定程度上保证面向对象信息提取的精度,而且在一定程度上也提高了面向对象信息提取的效率和自动化程度。  相似文献   

北斗卫星导航系统双差动力法精密定轨及其精度分析     

刘伟平  郝金明  田英国  于合理  张康 《测绘学报》2016,45(2):131-139

针对GEO卫星切向轨道分量与双差模糊度强相关的问题,对经典双差动力法进行了改进,提出联合使用载波相位和相位平滑伪距实现北斗系统精密定轨,并从理论上分析了以上处理策略的可行性及对模糊度固定的影响,然后结合北斗系统精密定轨特点,推导给出了利用QIF方法实现北斗卫星双差模糊度固定的基本原理,实测数据分析表明:联合载波相位和相位平滑伪距,既可降低相关性,又可兼顾精度,定轨效果优于经典双差动力法;利用QIF方法能够取得一定的模糊度固定效果,但受观测条件限制,北斗卫星双差模糊度固定成功率整体不高,双差模糊度固定之后对轨道的改进作用有限。  相似文献   

重力场对飞行器制导的影响及海洋重力测线布设     

黄谟涛  刘敏  欧阳永忠  邓凯亮  翟国君  陆秀平  吴太旗 《测绘学报》2016,45(11):1261-1269

重点围绕远程飞行器飞行轨道控制保障需求,开展了空中扰动引力计算和地面重力异常测量精度指标及海洋重力测量测线布设方案的分析与论证。首先通过解析和简化飞行器导航误差解表达式,定量估计了地球重力场对远程飞行器飞行轨迹的影响,并以一定量值的落点偏差为限定指标,研究论证了空中扰动引力的计算精度要求。在此基础上,通过对地面重力异常截断误差及数据传播误差的估计和分析,研究确定了地面/海面网格平均重力异常的观测分辨率和计算精度指标。以此为依据,提出了相对应的海洋重力测量测线布设方案,并通过数值计算验证了所提方案的合理性和有效性。  相似文献   

顾及周期项误差和起点偏差修正的北斗卫星钟差预报     

艾青松  徐天河  孙大伟  任磊 《测绘学报》2016,45(Z2):132-138

根据北斗卫星导航系统星载原子钟自身的物理特性,采用武汉大学IGS数据中心发布的2016年1月1日至2016年11月1日共306天的事后钟差产品进行谱分析。分析结果表明:北斗卫星导航系统的3类卫星钟都存在一定的周期特性;其中GEO和IGSO卫星钟的主周期相对较为明显;GEO卫星钟的主周期依次为12、24、8和6h;IGSO的主周期为24、12、8和6h;而MEO的3个主周期为12.9、6.4和24h。依据各类原子钟的周期特性,同时对各天之间钟差的起始点偏差进行修正,并利用修正模型对北斗卫星钟差进行预报和精度分析。试验结果表明,改进的预报模型能显著提升北斗卫星的钟差预报精度,北斗卫星钟差24h、12h、6h的平均预报精度分别能达到6.55ns、3.17ns和1.76ns。  相似文献   

基于 ArcG IS 和 Python 集成开发可达性分析工具的研究     

胡红  赖鑫生 《测绘工程》2016,25(11):43-49

为降低可达性度量的实现难度,弥补现有GIS软件没有集成可达性分析模型或方法的不足,在详尽分析有关模型或方法与GIS集成研究现状的基础上,提出以改进潜能模型作度量模型,按GIS内部集成方式,使用面向ArcGIS 10的Python脚本编程技术集成开发可达性分析工具的设想,对可达性潜能模型分析原理、工具开发环境配置、使用数据的预处理要求、工具的具体设计流程和实现方法等作了详细叙述。最后以评价某市小学教育资源空间布局合理性为例,阐述工具在实际应用中应采取的使用方法和流程,实例评价结果验证工具开发的有效性。  相似文献   

机载LiDAR定位精度分析     

覃昕垚  张建军  王勇  方涛 《测绘工程》2016,25(5):32-35,41

介绍机载激光雷达测量技术,根据测量的几何原理推导定位方程。讨论定位的误差来源,建立误差模型并对误差影响进行分析。综合各项因素的影响,将模拟数据代入误差传播公式,计算定位精度。  相似文献