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相关概念视频

Methods of Obtaining Topography01:25

Methods of Obtaining Topography

63
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
63
Profile Leveling and Cross Sections01:26

Profile Leveling and Cross Sections

207
Profile leveling and cross-sections are surveying methods used to determine and document terrain elevations for infrastructure projects such as highways, railroads, canals, and pipelines. These methods provide data for earthwork planning and alignment of proposed routes.  Profile leveling involves measuring elevations along a fixed line to create a vertical terrain profile. A surveyor sets up a leveling instrument at the benchmark (BM) and records a backsight (BS) to determine the...
207
Design Example: Maintaining Level of an Embankment01:19

Design Example: Maintaining Level of an Embankment

61
Constructing a roadway embankment over uneven terrain requires precise leveling to ensure stability and proper drainage. Surveyors use a leveling instrument and staff to calculate ground elevations and determine the required fill material at each point along the embankment alignment.The process begins by positioning a leveling instrument near a benchmark with a known elevation. A backsight reading establishes the instrument height, which serves as a reference for subsequent measurements. A...
61
Plotting of Topographic Maps01:29

Plotting of Topographic Maps

44
Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
44
Topographic Surveying and Contours01:29

Topographic Surveying and Contours

90
Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
90
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

74
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...
74

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相关实验视频

Updated: Jun 27, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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加强加拿大东部的地表排水测绘,使用深度学习应用到来自LiDAR的海拔数据.

Mathieu F Bilodeau1, Travis J Esau2, Qamar U Zaman1

  • 1Department of Engineering, Faculty of Agriculture, Dalhousie University, Truro, NS, B2N 5E3, Canada.

Scientific reports
|May 1, 2024
PubMed
概括

这项研究引入了一种深度学习模型,用于绘制新斯科舍省农业用地形成的地图,揭示了75%的荒地形成. 这促进了脆弱的沿海地区的高效土地管理.

关键词:
深度学习是一种深度学习.迪克兰的土地面具 RCNN 的意思诺瓦斯科西亚新斯科西亚精准农业 精准农业 精准农业遥感是一种远程传感.

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科学领域:

  • 农业科学 农业科学
  • 地理空间分析是什么
  • 遥感 遥感 遥感 遥感

背景情况:

  • 新斯科舍省的农业荒地利用形成的土地进行地表排水,这对于了解海平面上升的土地利用至关重要.
  • 传统的划界和分类农田的方法是劳动密集型和耗时的.
  • 深度学习 (DL) 在图像分析方面表现有前途,但尚未广泛应用于检测农业表面排水模式.

研究的目的:

  • 开发和测试一个Mask R-CNN深度学习模型,用于使用LiDAR数据检测农业荒地中的陆地形成场地.
  • 改进传统的pixel-by-pixel分类,使用一种方法来识别有凝聚力的pixel组作为对象.
  • 评估DL在绘制地表排水模式的有效性,用于农业用地管理.

主要方法:

  • 利用Mask R-CNN,一个深度学习模型,用于对象检测和细分.
  • 采用了来自LiDAR的高度数据作为模型的输入.
  • 专注于识别代表陆地形成领域的凝聚性像素组.

主要成果:

  • 面具R-CNN模型实现了高性能,平均平均精度 (mAP) 为0.89.
  • 确定新斯科舍省53%的荒地被用于农业.
  • 发现大约75% (6924公) 的这些农田是陆地形成的.

结论:

  • 应用在LiDAR数据上的深度学习技术为表面排水映射提供了新的见解.
  • 开发的DL模型有效地检测了陆地形成的田地,比传统方法提高了效率.
  • 这种方法提高了面临环境变化的沿海地区精确农业用地管理能力.