利用FME进行GIS数据的无损转换   总被引：5，自引：3，他引：2  

陈影  程耀东  闫浩文 《测绘科学》2007,32(2):75-77

在研究FME语义映射文件的组成格式、定义方法、执行过程的基础上,利用修改FME语义影射文件的方法,对DWG到SHAPE格式的数据无损转换进行了研究。结合科研项目,作者实现了数据从AutoCAD的DWG格式到ArcGIS的SHAPE格式的无损、快速、高效地转换,有效地解决了“如何实现数据在不同平台之间的转换,实现数据共享”这个制约GIS项目进度的瓶颈问题。  相似文献   

基于Google Earth Engine云平台的植被覆盖度变化长时间序列遥感监测   总被引：3，自引：1，他引：2  

裴杰  牛铮  王力  黄妮  曹建华 《中国岩溶》2018,37(4):608-616

基于Google Earth Engine遥感大数据云计算平台,以云南省南洞地下河流域为例,利用近2 000景30 m分辨率Landsat-NDVI长时间序列数据,采用像元二分模型对研究区1988-2016年的年最大植被覆盖度进行定量估算,并分别从流域整体和像元尺度分析近29 a间植被覆盖度的时空变化特征。研究结果表明:（1）南洞地下河流域大部分区域处于中等覆盖度和中高覆盖度,覆盖度随高程和坡度的增加而增大,其中年最大植被覆盖度 > 60%的区域占流域总面积的45.75%;（2）近29 a来,流域年最大植被覆盖度整体呈现不断增加的趋势,年均增长速率为0.56%,其中植被覆盖度轻微改善或是明显改善的面积占38.84%;（3）相比1988年,2016年高植被覆盖区和中高植被覆盖区面积分别增长50.51%、18.40%;而中等植被覆盖区、中低植被覆盖区和低植被覆盖区面积分别减少24.05%、47.95%和37.72%。封山育林等石漠化治理工程以及气候变化对于流域植被恢复和生态环境重建具有重要影响,其研究成果可为后续石漠化监测提供重要的基础研究数据。   相似文献   

基于ArcGIS的特殊线状符号设计以及符号化的实现     

蒋丽  邹时林 《测绘与空间地理信息》2015,(12):22-26

地图符号是地图/GIS表达空间信息的语言单位,地图符号设计中某些特殊线状符号的设计比较复杂,本文在分析现有符号设计方法的基础上,提出了一种拆分法进行特殊符号的设计,该方法不需要编写独立的符号绘制程序,具有比较好的可编辑性和维护性。对于面状符号边界处填充符号存在缺失的问题,从显示的角度提出了解决方法。最后利用ArcGIS Engine提供的符号化接口开发了一个符号化功能模块,实现地形图数据的符号化及可视化表达。  相似文献   

基于深度神经网络的蒙古国色楞格河流域水体信息提取     

姚锦一  王卷乐  严欣荣  魏海硕  Altansukh Ochir  Davaadorj Davaasuren 《地球信息科学学报》2022,24(5):1009-1017

蒙古高原地处干旱半干旱地区,河流水系对该区域的资源环境格局及其生态环境影响重大。发源于蒙古国的色楞格河是蒙古高原最主要的水资源来源,准确掌握该流域的水体信息对东北亚地区生态环境问题及资源保护具有重要意义。本文以蒙古高原色楞格河流域为研究对象,基于谷歌地球引擎（Google Earth Engine,GEE）云平台,使用 Sentinel-2 多光谱卫星遥感影像,利用深度神经网络（Deep Neural Network, DNN）方法对色楞格河流域的水体信息进行提取,并与支持向量机方法进行对比;利用全球30 m SRTM数据生成水系分布矢量图,通过空间分析形成河流提取目标区,结合深度神经网络分类结果,绘制蒙古国色楞格河流域2019年河流分布图。研究结果表明：① 该方法能够准确地完成大流域范围内的水体制图,提取结果能够体现色楞格河流域河流的空间分布,且能够减少河流断流、空洞现象;② 深度神经网络模型中批量大小设置为8时,在处理数据速度与精度中达到最优,而神经网络结构中隐含层数达到4层时,在精度评价指标测试数据集上达到0.9666,保证了模型特征挖掘能力;③ 经样本点的验证,结果总体精度达到97.65%,可以满足实际应用需求。本研究预期可以为蒙古高原的水体提取提供方法支持和相关数据支持。  相似文献   

Forced vibrations of a clamped-free beam with a mass at the free end with an external periodic disturbance acting on the mass with applications in ships’ structures     

D. V. Bambill  S. J. Escanes  C. A. Rossit 《Ocean Engineering》2003,30(8):645-1077

An exact, analytical solution is obtained for the title problem which constitutes a classical one although no solution is available in well known textbooks and handbooks normally used by the structural engineer in several fields of technology: ocean and naval engineering, aerospace applications, etc. The authors performed this study motivated by a situation where excessive displacements were noticed in a structural element carrying a relatively small motor at the free end and placed at the engine room of a naval vessel. The Bernoulli-Euler model has been employed.  相似文献   

一种基于DEM的高程最优路径选取算法及其实现     

徐文武 《测绘与空间地理信息》2017,(3)

针对当前GIS道路选线缺乏定制化的问题,本文设计并实现了基于DEM的高程最优路径选取算法,该算法将高程作为道路选线因素,以匀坡作为选线标准,采用上下行算法和内分插值算法进行道路选线。基于ArcGIS Engine平台,对设计的算法进行了编程,最终实现了卓呼线的自动选取。实验证明,该算法可以利用DEM格网点高程自动绘制匀坡线,从而生成高程成本最优路径。同时,该算法时间复杂度较低,计算速度快,健壮性良好,运算成果正确,不失为一种快速的道路选线新方法。  相似文献   

广东省沿海城市人工水产养殖基地变化——基于2015—2019年Sentinel-1数据的实证研究     

黄森文  韦春竹 《热带地理》2021,41(3):622-634

基于Google Earth Engine云计算平台以及哨兵1号雷达遥感影像等数据,对广东省14个沿海城市2015—2019年规则的陆上人工水产养殖基地进行面向对象方法提取,并对其空间分布变化趋势、高密度分布区域进行定量分析,对该类规则的水产养殖用地面积与各个城市经济发展之间的关系进行分析。对规则人工水产养殖基地的分类结果显示：基于雷达遥感影像提取水产养殖基地具有较高的精度,总体精度为90.5%,Kappa系数为0.81;分类结果表明：2015—2019年内广东省规则的陆上人工养殖基地总面积呈上升趋势,其中陆地岸线5 km范围内集中了80%的规则人工水产养殖基地,海湾和江河入海口的规则水产养殖用地密度最高、规模最大。对比不同城市间的分布模式亦可发现,汕头、潮州、珠海、中山、深圳、湛江、阳江的水产养殖用地向陆地岸线集中效应最强,汕尾、广州、揭阳、江门次之,茂名、东莞、惠州集中程度最低。总体而言,广东省各个沿海城市的水产养殖用地整体上呈现扩张趋势,规则水产养殖基地面积的增长与水产养殖产值呈现出显著的相关性,这进一步说明了人工水产养殖基地的用地扩张依然是目前广东省提高水产养殖产值的主要途径,这样的扩张趋势给海岸带的湿地、耕地和城市用地的分布和可持续利用带来了极大的挑战。  相似文献   

Analysis of ecological quality in Lhasa Metropolitan Area during 1990–2017 based on remote sensing and Google Earth Engine platform     

Huang  Huiping  Chen  Wei  Zhang  Yuan  Qiao  Lin  Du  Yunyan 《地理学报(英文版)》2021,31(2):265-280

Based on a total of 519 images,the composite images with the lowest possible cloud cover were generated at pixel level with image synthesis method on Google Earth En-gine(GEE)platform.The Remote Sensing Ecological Index(RSEI)was adopted,and calcu-lated in an efficient way with the assistance of parallel cloud computing of the GEE platform.The RSEI was used in this paper to evaluate and monitor the eco-environmental quality of the Lhasa Metropolitan Area.Results show that:(1)The ecological quality is better in the west than in the east of Lhasa Metropolitan Area,with Lhasa as an approximate dividing point.The ecological quality improved and then deteriorated dramatically before 2000,with the mean RSEI value dropping from 0.51 to 0.46;the trend was followed by a gradual increase up until 2017,with the mean RSEI value increased from 0.46 to 0.55.(2)The RSEI is weakly and positively correlated with socioeconomic indicators.This indicates that the population growth and economic development did not negatively influence the ecological quality,but actually boosted it.(3)The GEE can serve as an efficient computing platform for the assessment and monitoring of eco-environmental quality in vast regions.  相似文献   

Spatiotemporal Pattern and Driving Force Analysis of Vegetation Variation in Altay Prefecture based on Google Earth Engine     

HE Yuchuan  XIONG Junnan  CHENG Weiming  YE Chongchong  HE Wen  YONG Zhiwei  TIAN Jie 《资源与生态学报(英文版)》2021,12(6):729-742

Quantitative evaluation and driving mechanism analysis of vegetation dynamics are essential for promoting regional sustainable development. In the past 20 years, the ecological environment in Altay Prefecture has changed significantly due to global warming. Meanwhile, with increasing human activities, the spatiotemporal pattern and driving forces of vegetation variation in the area are uncertain and difficult to accurately assess. Hence, we quantified the vegetation growth by using the Normalized Difference Vegetation Index (NDVI) on the Google Earth Engine (GEE). Then, the spatiotemporal patterns of vegetation from 2000 to 2019 were analyzed at the pixel scale. Finally, significance threshold segmentation was performed using meteorological data based on the correlation analysis results, and the contributions of climate change and human activities to vegetation variation were quantified. The results demonstrated that the vegetation coverage in Altay Prefecture is mainly concentrated in the north. The vegetation areas representing significant restoration and degradation from 2000 to 2019 accounted for 24.08% and 1.24% of Altay Prefecture, respectively. Moreover, spatial correlation analysis showed that the areas with significant correlations between NDVI and temperature, precipitation and sunlight hours accounted for 3.3%, 6.9% and 20.3% of Altay Prefecture, respectively. In the significant restoration area, 18.94% was dominated by multiple factors, while 3.4% was dominated by human activities, and 1.74% was dominated by climate change. Within the significant degradation area, abnormal degradation and climate change controlled 1.07% and 0.17%, respectively. This study revealed the dynamic changes of vegetation and their driving mechanisms in Altay Prefecture, and can provide scientific support for further research on life community mechanism theory and key remediation technology of mountain-water-forest-farmland-lake-grass in Altay Prefecture.  相似文献   

基于ArcGIS Engine的综合管线三维可视化研究   总被引：3，自引：1，他引：2  

张文元  付仲良 《测绘通报》2008,(8)

利用AreGIS Engine强大的三维显示和渲染功能,介绍基于AtcGIS Engine平台进行综合管线三维可视化的方法,包括直管和弯管建模.算法效率高、模拟效果好,而且建模后的数据可以保存为GeoDatabase格式,能和其他矢量、栅格数据动态叠加显示.利用该方法开发的三维综合管线系统可以与已有的二维管线系统相互兼容,实现优势互补.  相似文献