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相关概念视频

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
56
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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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...
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Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

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GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
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Field Application of Global Positioning System01:28

Field Application of Global Positioning System

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The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
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GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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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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基于机器学习的空间数据开发,用于优化印度尼西亚的天文观测站点.

Anjar Dimara Sakti1, Muhammad Rizky Zakiar2, Cokro Santoso2

  • 1Remote Sensing and Geographic Information Science Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung, Indonesia.

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概括

这项研究通过整合物理,大气和污染数据来确定印尼天文台的最佳位置. 在整个群岛推18个地点,以推进天文学研究和活动.

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科学领域:

  • 天文学 天文学
  • 地理空间科学 地理空间科学
  • 环境科学 环境科学

背景情况:

  • 天文天文台的建设对于研究,教育和旅游业至关重要.
  • 印度尼西亚多样化的地理形态为观测站的定位带来了独特的挑战和机会.
  • 之前的研究往往缺乏对物理,大气和污染因素的综合分析.

研究的目的:

  • 开发印尼天文台的位置分布场景.
  • 将物理和大气适应性指数与机器学习和气候模型相结合.
  • 在最佳的观测站建设场景中考虑低空气污染风险的公平分配.

主要方法:

  • 整合物理和大气观测站索引的适用性分析.
  • 机器学习模型和长期气候模型的应用.
  • 基于经度/度划分和空气污染风险评估的位置分布场景.

主要成果:

  • 印度尼西亚总体上表现出高适宜性和低空气污染风险,但某些地区除外.
  • 爪,东苏门答腊和加里曼坦部分地区的天文适用性低,空气污染风险高.
  • 在苏门答腊,爪,加利曼坦,努萨丁加拉,苏拉威西和巴布亚地区确定了18个潜在的天文台地点.

结论:

  • 该研究提供了一种全面,综合的方法,以选择最佳的观测站点.
  • 考虑天文适用性和空气污染风险对于有效的定位至关重要.
  • 推的地点可以优化印度尼西亚的天文研究和活动的潜力.