Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

475
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...
475
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

261
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
261
Manipulation and Analysis01:21

Manipulation and Analysis

292
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...
292
Levels of Use of a GIS01:29

Levels of Use of a GIS

366
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...
366
Introduction to GIS01:28

Introduction to GIS

518
Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
518
Responses to Drought and Flooding02:41

Responses to Drought and Flooding

11.9K
Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
11.9K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Trimester-Specific Safety of Laparoscopic versus Open Abdominal Surgery During Pregnancy: A Systematic Review and Meta-analysis.

The British journal of surgery·2026
Same author

Comparative efficacy of electric toothbrush technologies in plaque and gingivitis reduction: a network meta-analysis.

Clinical oral investigations·2026
Same author

Modulating the gut microbiome to enhance cancer immunotherapy: a systematic review and Meta-Analysis of probiotics and FMT as adjuncts.

BMC cancer·2026
Same author

Artificial intelligence in electrocardiogram-based prediction of heart failure: a systematic review and meta-analysis.

Frontiers in cardiovascular medicine·2026
Same author

Should routine HPV vaccination programs include males 25-29 years? A systematic review and global meta-analysis.

Journal of translational medicine·2025
Same author

Digital health: current applications, challenges, and future directions for enhancing healthcare quality and safety.

Frontiers in public health·2025

相关实验视频

Updated: Jan 18, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.3K

基于知识图的自然灾害的语义路径引导遥感建议.

Xiangyu Zhao1, Chunju Zhang1, Chenchen Luo1

  • 1College of Civil Engineering, Hefei University of Technology, Hefei 230009, China.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种知识图法,用于推用于自然灾害数据采集的遥感传感器. 该方法通过使用语义路径指导来提高任务匹配和建议效率.

关键词:
数据建议建议数据建议知识图表知识图表自然灾害自然灾害的发生.遥感图像 遥感图像 遥感图像

更多相关视频

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.1K
Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.4K

相关实验视频

Last Updated: Jan 18, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.3K
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.1K
Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.4K

科学领域:

  • 地理空间科学 地理空间科学
  • 数据科学数据科学数据科学
  • 灾害管理 灾害管理

背景情况:

  • 对于自然灾害的遥感数据采集在任务匹配,语义表示和建议效率方面面临挑战.
  • 现有的方法难以将灾难特定需求与可用的遥感资源相匹配的复杂性.

研究的目的:

  • 为智能遥感任务传感器在灾难场景中进行匹配提出一种新的语义路径引导推方法.
  • 提高选择自然灾害监测适当的遥感资源的效率和准确性.

主要方法:

  • 构建面向灾难的遥感知识图,整合灾难类型,任务,传感器和平台等实体.
  • 使用Meta-Path2Vec通过路径受约束的随机走路和Skip-Gram来捕捉语义关系来学习节点嵌入.
  • 应用同位素相似性和Top-K排名用于任务驱动的传感器建议.

主要成果:

  • 拟议的方法在各种灾害场景 (洪水,山体滑坡,野火) 的实验中显示出高精度和强大的稳定性.
  • 开发了一个交互式推系统,验证了该方法在现实应用中的实际有效性.
  • 该方法成功地解决了复杂任务匹配的挑战,并改善了远程传感数据采集的语义表示.

结论:

  • 语义路径指导的推方法为灾难环境中智能遥感数据采集提供了重大进步.
  • 这项工作为优化传感器选择和数据匹配以应对灾害提供了理论基础和实际解决方案.
  • 开发的知识图框架和嵌入机制增强了对遥感资源的理解和利用,用于灾害管理.