共查询到20条相似文献，搜索用时 125 毫秒
1.
2.
基于ArcObjects和GPS的扑火队伍跟踪监控指挥系统的设计与实现 总被引：2，自引：0，他引：2
采用ArcGIS组件集合Arc Objects开发技术,通过对系统设计、系统分析和系统实现,以及Arc Objects技术与GPS技术结合的有效性实践探索,构建扑火队伍跟踪监控指挥系统,实现了县级防火指挥中心对扑火队伍实时监控和指挥,以及省、市级防火指挥中心通过互联网对扑火队伍的监控功能。为森林防火决策科学化、指挥快速化、调度实时化提供依据。 相似文献
3.
试验用飞行航迹设计完成后通常需要将各航路点和航段标绘在信息丰富的地图中,用于对航迹是否采用或修改与否进行决策并备案留存。手工标绘一条飞行航迹,耗时一般为15～20 min;基于GIS组件的航迹标绘系统,在VC环境下采用DTIS_MAPX组件,数据接口基于XML技术实现,首次将部队手工标绘改进为程序自动读取数据,标绘飞行航迹,并生成配套图例,成功实现了4 s标绘一条航迹,操作简便高效,提升了部队信息化作战保障能力。 相似文献
4.
随着信息时代的到来,战场信息环境可视化变得越来越重要.为了提高军事态势标绘平台的跨平台性、态势标绘成果的共享性等,本文通过对Openlayers库进行二次开发建立军标库,基于B/S架构搭建军事态势标绘系统,采用XML存储标绘数据,具有地图管理、军标库管理、军标绘制、军标编辑和态势图数据存储5大功能模块,基本能满足部队作图人员对态势标绘的要求,实现制图向智能化、共享化方向发展. 相似文献
5.
6.
7.
传统的二维标绘和三维标绘需要标绘人员分别进行操作,耗费人力物力,并且标绘出的地图不一定完全相同。二、三维联动标绘可以一个人同时用两种方法完成标绘任务,减轻标绘人员的工作量,提高作业效率。通过对ArcEngine的两个重要控件MapControl和SceneControl进行探讨,研究同时在两个控件上进行二、三维联动标绘的数据组织和实现方法。 相似文献
8.
《国土资源遥感》2017,(1)
为使复杂的海量多源空间标绘内容规范化、标准化,确保标绘内容的正确性,亟需对空间标绘内容进行整合。针对多源异构空间标绘信息中存在的同标异物、异标同物等情况,分析不同应用类型标绘数据的自身特点,以最大限度地消除差异性为标准,采用粗糙集理论对信息进行分类,通过建立语义本体库进行源数据分析、提取和转换等工作,建立数据整合标准与质量控制体系,突破数据源之间标准的差异以及异常数据的限制,实现了多源标绘内容的自动/半自动整合。以全球地名数据为例,随机选取4组实验数据进行属性约简和规则提取,并对相关数据进行整合。实验结果表明,算法可行性强,数据整合流程具备高效性,能够应用于大数据集的分类。 相似文献
9.
针对灾害应急响应过程中多用户进行远程灾害影像图标绘操作和灾情研判分析的需求,采用了具有良好协作性的协同研判模式,设计并实现了一个分布式灾害影像图协同标绘系统,其特点是快速、稳定、可靠,支持多用户进行实时或异步灾害影像图标绘、编辑和文件传输等操作,实现标绘信息交流和感知,以及基于标绘信息的灾害研判分析,适用于国家、省级等多层次综合减灾应急协同业务的开展。以芦山地震灾害协同研判为案例的实验表明,该系统能够满足灾害应急协同工作需求,将信息优势转化为减灾决策优势,能够服务于国家应急抗灾决策和部署的空间信息服务体系。 相似文献
10.
基于GIS的地震应急态势标绘技术研究 总被引：1，自引：0，他引：1
提出了地震应急态势标绘元素的分类体系,并设计基于此体系的态势标绘元素的可视化符号库,此符号库包括:基元符号层、单元符号层和表现符号层。研究了态势标绘元素基于GIS的显示方法与实现流程,采用基于哈希表的虚拟图层控制器实现态势符号的显示管理。建设南京市地震突发事件救灾应急平台,在平台中实现态势标绘模块。通过实际应急演练,验证了本研究的态势标绘技术的可行性和有效性。 相似文献
11.
基于ArcEngine的林火监测云图坐标转换及配准功能的研发 总被引：1，自引：0，他引：1
采用二次开发语言VB,通过基于ArcEngine的组件开发模式,对林火监测云图进行配准及坐标转换,使其能够与基础地理信息数据叠加显示,准确判断火点的属地信息等相关地理信息以及相关防火、扑火信息,并且可以依托地理信息系统对火点信息进行管理。使林火监测云图与地理信息系统高度融合,增加了地理信息系统数据的来源,提高了云图的使用效率。最终促进了森林防火工作的信息化和现代化。 相似文献
12.
基于Google Maps API所提供的接口,把Google地图嵌入到自己的网页中,利用API提供的函数导入所需要的电子地图,实现了地图浏览和旅游信息显示等基本内容,并完成在电子地图上对旅游景点、旅游线路、旅游景区等信息的标注,使游客能够方便快捷地获取旅游景点及附近信息,从而合理安排旅游计划。 相似文献
13.
14.
Abstract A method of analyzing remotely sensed data, a geographic information system, and an intelligent fire management system have been developed to provide integrated resource data for fire and other resources management. Natural and cultural features were digitized from 1:50,000 topographic maps using a geographic information system (GIS) to cover the 29 communities below the tree line in the western Canadian Arctic. Landsat Thematic Mapper data covering the same area were classified into land cover or fuel types. Detailed information on each fire such as location, area burned, date of discovery, fire number, fire zone, fire class and source of ignition was obtained and added to each map sheet as attribute data. A generalized vegetation cover map using NOAA AVHRR data was also obtained. The Intelligent Fire Management Information System (IFMIS) integrates relational data bases, geographic information display, and expert systems. It also has a spatial analysis procedure for forest fire preparedness planning. Linking the weather to the forest fuels through the Fire Weather Index system (FWI) and the Fire Behaviour Prediction System (FBPS), fire danger and fire behaviour are calculated and displayed, cell‐by‐cell. Values‐at‐risk and fire suppression resources are used in the dispatching and planning component of the system. The planning component allows the user to evaluate the coverage of fire suppression resources under the prevalent forecast fire behaviour conditions. Through the integration of data from the above systems, a set of maps were created which were used to analyze fire behaviour potential, identify fire hazards, and provide a basis for settlement protection strategies within the context of other land use activities such as wildlife harvesting and recreational activities. 相似文献
15.
The impact of fires on environment can have adverse effects. To fully understand the synoptic behaviour of fire events, information on the spatial distributions and their pattern are highly important. In this study, we used 9-year (1997–2005) integrated fire count datasets derived from Along Track Scanning Radiometer (ATSR) satellite to geographically map the distribution of fire events in the Madhya Pradesh state, central India. We then used robust spatial metrics to test the spatial pattern of fire events against the hypothesis of complete spatial randomness (CSR). Specifically, we used the index of dispersion, Green's index, in addition to nearest neighbour statistic for testing CSR. Also, quantification of clustering is carried out using Ripley's K-function. To spatially map the fire events, we used Kernel density estimation that relies on bi-variate probability density functions. Results from using different spatial pattern metrics and nearest neighbour statistics suggested relatively high clustering of fire events in the study area. In addition, results from Ripley's K-function suggested the fire events to be clustered at a lag-distance of ～60 mile radius. By converting original fire ignition locations that are based on historical records to continuous density surfaces, the probability of fire events could be mapped effectively using kernel density estimation. As each fire event is the result of certain spatial process including biophysical and anthropogenic attributes, results from this study can provide useful information on fire management at a local district level. Also, the analysis presented in this study illustrates how spatial patterns in the point datasets can be quantified using different dispersion indices, clustering and density estimation techniques. 相似文献
16.
17.
《地理信息系统科学与遥感》2013,50(4):600-613
In July 1983, a large wildfire occurred on the island of Karpathos in Greece. However, only a general sketch of the burn perimeter was available and this lacked detailed spatial information, particularly for unburned patches within the fire scar perimeter. A study was undertaken to correctly map the area burned using USGS-archived Landsat data by applying several digital image processing techniques. This paper summarizes and discusses the main findings of that study and provides some general recommendations on the use of remote sensing and archived Landsat data for reconstructing fire history. Remote sensing along with geographic information systems can provide an excellent framework for fast, reliable data capture, measurement, and synthesis, all of which are essential for thorough eco-environmental analysis. Satellite data of multiple types offer an unlimited source of information due to their rich spectral and spatial information content. Satellite mapping of burned areas is considered a standard technique in creating maps of fire scars at multiple scales as a function of the satellite sensor's geometric resolution. 相似文献
18.
基于MODIS影像的内蒙古草原积雪监测 总被引：2，自引：0，他引：2
光学遥感源MODIS具有高光谱分辨率、高时间分辨率、高空间分辨率、全球范围内免费接收等优势,被广泛应用于洪涝、干旱、森林草原火灾、雪灾等自然灾害的动态监测领域。MODIS数据用于内蒙古草原积雪监测,提取积雪信息在国内尚属空白。本文利用MODIS L1B 500m分辨率数据,经过几何校正、去"双眼皮"预处理,根据归一化差分积雪指数(NDSI)算法和综合阈值判别法对内蒙古自治区2008年1月下旬大范围降雪进行积雪信息提取,制作积雪覆盖图。利用内蒙古生态与农业气象中心发布的雪情遥感监测信息验证积雪覆盖图的准确度。验证结果表明,MODIS数据用于大范围积雪监测非常有效。 相似文献
19.