共查询到20条相似文献，搜索用时 140 毫秒
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MAPSUV数字测绘成果管理系统的设计 总被引：4，自引：0，他引：4
测绘成果为区域经济规划、国土资源调查以及农林水利、能源交通、城市规划建设等诸多方面提供大量与地理位置有关的基础信息, 因而在整个测绘部门的管理中成果管理显得尤为重要.而基于MAPSUV数字测绘平台的成果管理系统, 以工程测量中的地形图为背景, 以各种等级控制点为核心, 利用计算机技术、地理信息系统(GIS) 技术、数据库技术、图象处理技术、网络通讯以及多媒体技术, 在测绘行业日常业务的基础上, 开发出了适合实际需要的数字化成果管理信息系统建立成果数据库和共享数据库. 相似文献
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根据大比例尺数字化成图的原理，AutoCAD的二次开发功能，实现了对野外采集数据的处理；依据《1：5001：10001：2000地形图图式》标准设计的符号库与线型库，具有科学性、系统性的编码方案，满足了数字化成图中绘制和编辑地形图的要求，并制定了与GIS图形数据接轨的地形图数据结构。 相似文献
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传统的山区大比例尺地貌图采用了以符号为基础的复杂图例，它们可谓出色的“地貌数据库”，从中可获取大量有用信息用于灾害编图。但这些图件因结构复杂，并不适合与GIS结合使用，介绍了3种用GIS进行大比例尺数字化地貌编图的方法和数字化制图法，并在地貌背景复杂的意大利贝卢诺附近进行了试验，通过一系列的数据层介绍了GIS数据库的结构及其相互间的联系，借助数字制图软件可将GIS数据库转换成一张纸质图件，最终的GIS数据库和图件可用来分析每一个多边形的灾害类型和灾害等级，为确定灾害提供依据。 相似文献
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矿产资源GIS定量评价 总被引：8，自引：0，他引：8
矿产资源GIS评价空间数据库建设运用计算机IT技术,特别是地理信息系统以区域成矿理论为指导进行区域矿产资源定量预测,对矿床可能出现的位置、预测资源量及经济价值进行科学评价是一项重要任务.矿产资源GIS定量评价既是获取区域评价的途径,又是矿产勘查成果升华、数字化表达方式之一. 相似文献
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基于MAPGIS数字化地形图的技术应用 总被引：4，自引：0，他引：4
以数字化四川雅安地区白铜尖子地形图为例，从数据输入、数据处理两方面入手，结合实践经验，详细阐述了运用MAPGIS数字化地形图时的一些关键技术，主要包括图件的输入、分层矢量化的输入、图形编辑、高程数据的编辑、水系编辑、坐标匹配和误差校正，供GIS领域的研究人员参考。 相似文献
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<正>GBDB在线数据库(Geobiodiversity Database,http://www.geobiodiversity.com)是一个基于互联网、数据库和GIS技术的古生物学和地层学的多用户协同的数字化科研平台(樊隽轩等,2011)。这一平台得到中国科学院南京地质古生物研究所及现代古生物学和地层学国家重点实验室的长期支持, 相似文献
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二连浩特北部地区位于二连-东乌旗铜多金属成矿带之西端,具有良好的成矿远景.在二连地区1：25万数字化区域地质调查工作基础上,阐述了GIS技术在1：25万区域地质调查工作中的技术路线、数据获取、数据管理中空间数据库工作流程和图层管理.在数字高程模型子系统（DTM）中,利用地形数据制作立体地形图.以基础地质为背景,通过对航磁、重力、化探异常等多源、多尺度数据分析预测,总结了成矿规律,对该区进行了成矿预测,圈出个成矿远景区. 相似文献
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随着科学技术的发展 ,GIS、RS、GPS等新技术将逐步被应用到区调填图中。应用GIS、RS、GPS填图涉及到数据的采集、输入、编辑等过程 ,而最终形成多信息的数字化地图及其相关的数据库。这些数字化地图可十分方便地进行更新、查询及输出 ,从而更好服务于社会。 相似文献
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简要阐述了航测解析法获取地理信息系统空间数据（ 数字地形图） 的过程, 以及此方法在国民经济其他领域的应用。实践表明, 利用航片（ 卫片） , 采用航测解析法可以实时、准确地提取地表地形信息和各类专题信息。 相似文献
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For quantitative landslide susceptibility mapping, this study applied and verified a frequency ratio, logistic regression,
and artificial neural network models to Pemalang area, Indonesia, using a Geographic Information System (GIS). Landslide locations
were identified in the study area from interpretation of aerial photographs, satellite imagery, and field surveys; a spatial
database was constructed from topographic and geological maps. The factors that influence landslide occurrence, such as slope
gradient, slope aspect, curvature of topography, and distance from stream, were calculated from the topographic database.
Lithology was extracted and calculated from geologic database. Using these factors, landslide susceptibility indexes were
calculated by frequency ratio, logistic regression, and artificial neural network models. Then the landslide susceptibility
maps were verified and compared with known landslide locations. The logistic regression model (accuracy 87.36%) had higher
prediction accuracy than the frequency ratio (85.60%) and artificial neural network (81.70%) models. The models can be used
to reduce hazards associated with landslides and to land-use planning. 相似文献
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Topographic maps are fundamental for geoarchaeological field studies and archaeological excavations. However, traditional methods of topographic mapping, as well as modern high‐tech methods such as airborne laser scanning and photogrammetry of high‐resolution satellite images, are often cost‐ineffective for field studies in terms of time, money, and labor. We here propose a method to measure topography for archaeological sites and surrounding areas quickly and accurately, using a laser range finder (LRF) and differential global positioning system DGPS. Three‐dimensional coordinates of points on land surfaces are measured through the LRF, targeted from multiple measuring locations whose positions are acquired with the DGPS. The point data are then interpolated to produce a digital elevation model (DEM) using a geographic information system (GIS). High‐resolution DEMs can be obtained with this method, with horizontal and vertical accuracies on the order of 10 cm. We here demonstrate the method for measuring detailed topography of the Hacituğrul Tepe in central Turkey. Digital topography data incorporated in GIS can also be part of an archaeological database, providing opportunities for quantitative analyses of topography and archaeological materials. © 2009 Wiley Periodicals, Inc. 相似文献
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Saeedeh Eskandari 《Arabian Journal of Geosciences》2017,10(8):190
The presented research was performed in order to model the fire risk in a part of Hyrcanian forests of Iran. The fuzzy sets integrated with analytic hierarchy process (AHP) in a decision-making algorithm using geographic information system (GIS) was used to model the fire risk in the study area. The used factors included four major criteria (topographic, biologic, climatic, and human factors) and their 17 sub-criteria. Fuzzy AHP method was used for estimating the importance (weight) of the effective factors in forest fire. Based on this modeling method, the expert ideas were used to express the relative importance and priority of the major criteria and sub-criteria in forest fire risk in the study area. The expert ideas mean was analyzed based on fuzzy extent analysis. Then, the fuzzy weights of criteria and sub-criteria were obtained. The major criteria models and fire risk model were presented based on these fuzzy weights. On the other hand, the spatial data of 17 sub-criteria were provided and organized in GIS to obtain the sub-criteria maps. Each sub-criterion map was converted to raster format and it was reclassified based on risk of its classes to fire occurrence. Then, all sub-criteria maps were converted to fuzzy format using fuzzy membership function in GIS. The fuzzy map of each major criterion (topographic, biologic, climatic, and human criteria) was obtained by weighted overlay of its sub-criteria fuzzy maps considering to major criterion model in GIS. Finally, the fuzzy map of fire risk was obtained by weighted overlay of major criteria fuzzy maps considering to fire risk model in GIS. The actual fire map was used for validation of fire risk model and map. The results showed that the fuzzy estimated weights of human, biologic, climatic, and topographic criteria in fire risk were 0.301, 0.2595, 0.2315, and 0.208, respectively. The results obtained from the fire risk map showed that 38.74% of the study area has very high and high risk for fire occurrence. Results of validation of the fire risk map showed that 80% of the actual fires were located in the very high and high risk areas in fire risk map. It can show the acceptable accuracy of the fire risk model and map obtained from fuzzy AHP in this study. The obtained fire risk map can be used as a decision support system for predicting of the future fires in the study area. 相似文献
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Evaluation of image processing methods for geological interpretation in the different environments in Libya 总被引：1，自引：0，他引：1
Nureddin M. Saadi Koichiro Watanabe Hideki Mizunaga 《Arabian Journal of Geosciences》2011,4(3-4):635-643
This study evaluates the use of image processing techniques and methodologies of digital integration of multi-disciplinary geoscientific data to reduce the ambiguity in geological interpretations in different geological environments in Libya. To realize this objective, three areas were selected for this study; Eljufra, an arid environment; the mountainous environment Tarhunah; and the Jifara Plain, a coastal plain environment. Two types of remote sensing data were used in this study: Landsat Enhanced Thematic Mapper Plus (ETM+) and European Remote Sensing Satellite. The digital elevation model extracted from Shuttle Radar Topography Mission and digital topographic maps scale 1:50,000 were used for remote sensing interpretation. GIS and remote sensing-based methods were used to process and integrate all raster and vector layers data. This study offered dramatic benefits for geological interpretations and provided new insights into the efficiency of image processing methods in different geological environments. 相似文献