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Related Concept Videos

Areas Within Irregular Boundaries01:26

Areas Within Irregular Boundaries

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Calculating areas within irregular boundaries, such as along rivers or curved roads, is crucial in various fields, including surveying, engineering, and environmental management. Surveyors often begin by creating a traverse, a connected series of straight lines approximating the area's boundary. The coordinates of each traverse point are essential for calculating the enclosed area. The double meridian distance formula is a widely used technique for this purpose. This method utilizes the...
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Design Example: Maintaining Level of an Embankment01:19

Design Example: Maintaining Level of an Embankment

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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...
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Distance Corrections01:15

Distance Corrections

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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

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A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
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Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

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When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

26
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Laboratory and Field Protocol for Estimating Sheet Erosion Rates from Dendrogeomorphology
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A Regularization Method for Landslide Thickness Estimation.

Lisa Borgatti1, Davide Donati1, Liwei Hu2

  • 1Department of Civil, Chemical, Environmental, and Materials Engineering, University of Bologna, 40136 Bologna, Italy.

Journal of Imaging
|December 27, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to estimate landslide depth using satellite elevation data and mass conservation principles. The approach accurately reconstructs landslide thickness, aiding hazard assessment and risk mitigation.

Keywords:
balancing principle (BP) for regularizationdiscretization of mass conservation lawinverse problem regularizationlandslide depth estimationsynthetic dataset preparation

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Area of Science:

  • Geosciences
  • Remote Sensing
  • Geophysical Hazard Assessment

Background:

  • Accurate landslide depth estimation is crucial for effective hazard assessment and risk mitigation.
  • Satellite-derived elevation data offers a valuable, non-invasive source for geological analysis.
  • Traditional methods for landslide depth determination can be challenging and resource-intensive.

Purpose of the Study:

  • To develop and validate a novel method for determining landslide depth from satellite-derived elevation data.
  • To formulate the landslide depth problem as a linear inverse problem solvable with regularization techniques.
  • To assess the robustness and practical applicability of the proposed method using synthetic and real-world data.

Main Methods:

  • Formulation of landslide depth estimation as a linear inverse problem based on the principle of mass conservation.
  • Application of a regularization approach, utilizing the Balancing Principle, to compute approximate solutions and regularization parameters.
  • Generation and utilization of synthetic landslide data to rigorously evaluate method performance under controlled noise conditions.
  • Validation of the method using real-world landslide data from the Fels landslide in Alaska.

Main Results:

  • The proposed regularization method successfully computes approximate solutions for landslide depth.
  • The method demonstrated robustness across various noise levels when tested with synthetic data.
  • Reconstructions of landslide thickness patterns for the Fels landslide showed good agreement with existing geological interpretations.
  • The Balancing Principle effectively determined regularization parameters for accurate inverse problem solutions.

Conclusions:

  • The developed method provides a practical and effective means for estimating landslide depth from satellite elevation data.
  • The approach offers a valuable tool for enhancing landslide hazard assessment and risk mitigation strategies.
  • The successful application to real-world data confirms the method's utility in geological contexts.