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Methods of Obtaining Topography01:25

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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,...
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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...
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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,...
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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...
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Characterisation of soil micro-topography using a depth camera.

Laura Grundy1, Chandra Ghimire1, Val Snow1

  • 1AgResearch, Private Bag 4749, Christchurch 8140, New Zealand.

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|December 15, 2020
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Summary

A new 3D depth camera offers a practical and inexpensive method for measuring soil surface roughness. This technology provides accurate and precise data, serving as a valuable alternative to traditional, labor-intensive techniques for erosion and runoff studies.

Keywords:
ErosionRunoffSoil surfaceStructured lightSurface roughness

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Area of Science:

  • Soil Science
  • Geomorphology
  • Agricultural Engineering

Background:

  • Soil surface roughness significantly influences water ponding, runoff, and erosion processes.
  • Traditional methods for measuring soil surface roughness are accurate but time-consuming and labor-intensive.
  • Existing advanced technologies often require expensive equipment and specialized expertise.

Purpose of the Study:

  • To evaluate the efficacy of a 3D depth camera for measuring soil surface roughness.
  • To determine the accuracy and precision of the depth camera compared to established methods.
  • To assess the practicality and cost-effectiveness of using depth cameras in field conditions.

Main Methods:

  • A commercially available 3D depth camera was employed to capture soil surface data.
  • High-resolution digital elevation models were generated from the captured images.
  • The accuracy and precision of the camera measurements were quantified at varying distances.

Main Results:

  • The depth camera demonstrated high precision (< 0.5 mm for elevation, < 0.05 mm for random roughness).
  • Accuracy was good, with errors increasing slightly with distance (0.3% at 750 mm, 0.5% at 1500 mm).
  • Surface area estimation errors also increased with distance (0.56% at 750 mm, 2.3% at 1500 mm).

Conclusions:

  • 3D depth cameras offer a reliable, practical, and inexpensive alternative for measuring soil surface roughness.
  • This technology simplifies data acquisition for crucial hydrological and erosion studies.
  • Further research should consider optimal conditions and post-processing for robust results.