基于Android平台的路径日记系统开发与设计

随着世界信息产业和通讯设备制造产业的迅猛发展,手机已经成为人们日常生活中不可缺少的一部分。智能手机日益趋向于移动智能综合服务平台方向的发展。可以预想在未来的世界,手机将为人们提供移动办公、信息分享和获取、电子支付、游戏娱乐等等的服务,而地图导航就是其中一个非常重要的应用服务。     

Monitoring water level and volume changes of lakes and reservoirs in the Yellow River Basin using ICESat-2 laser altimetry and Google Earth Engine

Monitoring the water level and volume changes of lakes and reservoirs is essential for deepening our understanding of the temporal and spatial dynamics of water resources in the Yellow River Basin, with a view to better utilizing and managing water resources. In recent years, there have been many studies on monitoring water level and volume changes in inland waters, but they were mainly focused on radar altimetry and the full waveform LiDAR ICESat, which was retired in 2010. Few studies based on the latest photon-counting LiDAR ICESat-2 have been reported. Compared with previous sensors, ICESat-2 has great advantages in footprint size, transmitting frequency, pulse number, etc, but its performance in monitoring water level and volume changes in inland waters has not been fully explored. Here we investigated the spatial distribution of water level and volume changes of 11 lakes and 8 reservoirs in the Yellow River Basin based on ICESat-2 and Google Earth Engine, and analyzed the factors affecting the measurement uncertainties. In-situ validation of lake level in Lake Qinghai indicates that the Root Mean Square Error (RMSE) of our result is only 7 cm after the reference coordinate system conversion. We found that the water level trend of the natural lake shows significant seasonal variations, while the water level trend of the reservoir shows a sharp rise and fall. In addition, precipitation plays a decisive role in the changes in natural lake levels and indirectly affects the artificial control of reservoirs’ water discharges. The uncertainty of water volume change monitoring is mainly affected by water level measurement uncertainty for lakes, while for reservoirs, that is affected by the combination of water level and area measurement uncertainties. The stability of lake level measurement increases with the increase in photon counts. The introduction of ICESat-2 ATL13 Significant Wave Height might lead larger standard deviation in water level measurement. According to the law of propagation of uncertainty, the uncertainty of the water volume change estimation by the combination of ICESat-2 and GEE is less than 9 %.     

勘探点在Google Earth中显示的程序实现

针对Google Earth的广阔应用前景,提出在Google Earth利用其快速、直观的特点,将勘探点表示在Google Earth上的一种方法,并结合工程实例,将湖北省部分水工环物探项目的勘探点表示在Google Earth上,以利于资料的管理查询。     

基于Google Earth的建筑物三维建模

利用Google Earth可以进行三维地形浏览,但对于建筑物大部分地区只能看到顶视图,虽然在国外某些地区可看到三维建筑模型,但只建立了"火柴盒"式的简单模型;建筑草图大师Sketch Up为我们提供了一款构建三维建筑模型的软件,通过上传三维模型到Google服务器,就可以弥补Google Earth在三维表达方面的缺陷,使Google Earth软件功能更加完善.     

基于Google Earth的三维飞行仿真系统设计

提出了一种利用Google Earth二次开发能力实现飞机六自由度飞行仿真的方法,使用KML语言描述了地景中的三维参考航线和飞行姿态,将Google SketchUp建立的飞机三维模型导入到Google Earth中,通过面向对象的编程思想,利用Microsoft VC++6.0对Google Earth进行控制,实现仿真系统的人机交互功能;系统采用B/S结构,客户端采用Google Earth浏览器,全部开发都在服务器端;系统运行结果表明:该系统可逼真地模拟飞机飞行;系统还可以用于三维航迹研究分析、实时航迹监视等,具有广阔的开发前景。     

A novel approach to mapping land conversion using Google Earth with an application to East Africa

Effective conservation planning relies on the accurate identification of anthropogenic land cover. However, accessing localized information can be difficult or impossible in developing countries. Additionally, global medium-resolution land use land cover datasets may be insufficient for conservation planning purposes at the scale of a country or smaller. We thus introduce a new tool, GE Grids, to bridge this gap. This tool creates an interactive user-specified binary grid laid over Google Earth's high-resolution imagery. Using GE Grids, we manually identified anthropogenic land conversion across East Africa and compared this against available land cover datasets. Nearly 30% of East Africa is converted to anthropogenic land cover. The two highest-resolution comparative datasets have the greatest agreement with our own at the regional extent, despite having as low as 44% agreement at the country level. We achieved 83% consistency among users. GE Grids is intended to complement existing remote sensing datasets at local scales.     

基于地图工具软件的固网业务预覆盖管理应用研究

预覆盖建设作为固网运营的第一步,直接影响通讯运营商在竞争格局中的地位。业务发展初期,覆盖选址常以客户关系切入或联合室分覆盖进行；进入规模发展阶段,寻找一种符合市场发展规律,结合网络资源情况的选址规划方案显得尤为重要。通过结合Google Earth和Baidu Map两个地图工具的特点,基于预覆盖管理工作的需求进行了应用开发,实现了在线用户交互、智能数据报表、选址策略等互联网的功能应用,为固网业务预覆盖管理工作提供了宝贵思路。     

In the eye of the beholder: A simulator study of the impact of Google Glass on driving performance

This study examined whether, and to what extent, driving is affected by reading text on Google Glass. Reading text requires a high level of visual resources and can interfere with safe driving. However, it is currently unclear if the impact of reading text on a head-mounted display, such as Google Glass (Glass), will differ from that found with more traditional head-down electronic devices, such as a dash-mounted smartphone. A total of 20 drivers (22–48 years) completed the Lane Change Test while driving undistracted and while reading text on Glass and on a smartphone. Measures of lateral vehicle control and event detection were examined along with subjective workload and secondary task performance. Results revealed that drivers’ lane keeping ability was significantly impaired by reading text on both Glass and the smartphone. When using Glass, drivers also failed to detect a greater number of lane change signs compared to when using the phone or driving undistracted. In terms of subjective workload, drivers rated reading on Glass as subjectively easier than on the smartphone, which may possibly encourage greater use of this device while driving. Overall, the results suggest that, despite Glass allowing drivers to better maintain their visual attention on the forward scene, drivers are still not able to effectively divide their cognitive attention across the Glass display and the road environment, resulting in impaired driving performance.     

Search Engine Optimization: Comparison of Link Building and Social Sharing

The practice of Search Engine Optimization (SEO) can significantly increase a website’s search rankings, driving more traffic to the website, and thereby increasing revenue. Three primary SEO strategies are Content, Link Building, and Social Sharing. Our study compares the performance of three similar content-rich websites; each uses a different SEO strategy – one focused on Content only, the second uses Content and proactive Link Building, and the third uses Content and Social Media campaign designed to elicit social mentions and social sharing. We use Google Analytics to collect, analyze, and compare their site traffic, domain authority, search ranks, and ad revenue before and after SEO implementation, over the course of 18 months. Our study suggests that link building and social media both improve website traffic and revenue. Social media can be an effective method for quickly building traffic (for events); however, link building provides better return on investment in the long run.     

浙江农宅平面信息域统计分析——以绍兴市为例

为探究长三角地区农宅平面尺寸在宏观区域上的统计规律,基于Google Earth探向功能,以长、宽作为农宅平面尺寸的标示参量,应用频数统计法分析农宅长、宽在环向及径向分析路径上的频数分布特征。统计结果表明:不管是在环向,还是在径向上,农宅长度都是以3到4个自然开间尺寸的占比最大,农宅宽度都是以2到3个自然开间尺寸的占比最大;在环向上,各区域农宅长度、宽度的频数分布较为相似,且其主要占比区间相对稳定,农宅长度在3到4个自然开间尺寸所占比例约为51%,宽度以2到3个自然开间尺寸为主,其比例为70%左右;在径向上,各区域农宅平面尺寸在各开间的比例差异较大。上述方法与结论对区域视角下的农宅节能潜力分析及既有建筑节能改造策略等问题的研究具有方法借鉴与理论指导意义。