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相关概念视频

Levels of Use of a GIS01:29

Levels of Use of a GIS

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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Manipulation and Analysis01:21

Manipulation and Analysis

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

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Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
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Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short...
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Sustainable Development01:43

Sustainable Development

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As the human population continues to grow and use resources, we must be mindful of our planet’s natural limits. Sustainable development provides a pathway to maintain and improve human life now while also ensuring that future generations will have the resources that they need. The long-term success of sustainability efforts rests on understanding the interplay between human actions and ecological systems.
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Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
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相关实验视频

Updated: Jul 12, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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一种人机协作方法利用卫星图像测量经济发展.

Donghyun Ahn1, Jeasurk Yang2, Meeyoung Cha3,4

  • 1School of Computing, KAIST, Daejeon, 34141, Republic of Korea.

Nature communications
|October 26, 2023
PubMed
概括

这项研究引入了一种新的人机模型,用于利用卫星图像和主观排名预测经济发展,绕过了对地面真相数据的需求. 它为数据稀缺的地区提供了细致的经济洞察力,帮助可持续发展的努力.

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科学领域:

  • 遥感 遥感 遥感 遥感
  • 社会经济分析 社会经济分析
  • 机器学习 机器学习

背景情况:

  • 卫星图像提供了可访问的社会经济推断,而无需对现场进行物理访问.
  • 许多机器学习算法需要基本真相数据,在许多国家,这些数据往往很少或根本不存在.
  • 发展中国家经常缺乏全面的社会经济数据,阻碍了发展举措.

研究的目的:

  • 开发一种人机协作模型,用于预测电网层面的经济发展.
  • 克服社会经济分析中基本真相数据稀缺性的局限性.
  • 为数据贫困地区提供精细的经济发展预测.

主要方法:

  • 利用公开可用的卫星图像.
  • 雇员轻量级的主观排名注释.
  • 开发了一个人机协作模型,以预测电网层面的经济发展.
  • 将模型应用于朝鲜和五个亚洲最不发达国家.

主要成果:

  • 为朝鲜生成细粒度的经济发展预测,这是一个数据有限的地区.
  • 确定了平壤和国家主导的项目区域的重大发展.
  • 在亚洲五个国家的40万个电网中证明了广泛的适用性.
  • 在难以访问和资源较低的地区获得高分辨率的经济信息.

结论:

  • 人机模型有效地预测了没有地面数据的经济发展.
  • 这种方法产生了细致的经济洞察力,这对于了解数据稀缺地区的发展至关重要.
  • 这种方法可以在服务不足的地区显著指导可持续发展计划.