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Updated: Nov 19, 2025

Manufacturing Simple and Inexpensive Soil Surface Temperature and Gravimetric Water Content Sensors
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Estimation of surface soil moisture content using fractals.

Yen-Chang Chen1, Hui-Chung Yeh2, Meen-Wah Gui1

  • 1Department of Civil Engineering, National Taipei University of Technology, Taipei, Taiwan.

Environmental Monitoring and Assessment
|January 27, 2021
PubMed
Summary

Soil cracking patterns reveal surface soil moisture content. Lower moisture leads to larger fractal dimensions, enabling accurate estimation via remote sensing.

Keywords:
Box-counting dimensionFractalsMoisture content of surface soilRemote sensingSoil cracking patterns

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Area of Science:

  • Hydrology
  • Soil Science
  • Remote Sensing

Background:

  • Soil moisture is crucial for the hydrologic cycle, impacting water resources and agriculture.
  • Soil cracking is a visual indicator of drought and is linked to moisture content.

Purpose of the Study:

  • To establish the relationship between fractal dimensions of soil cracking patterns and surface soil moisture content.
  • To develop a method for estimating soil moisture using fractal analysis of cracks.

Main Methods:

  • Prepared 16 soil samples and induced drying under varying temperatures.
  • Digitized photographs of soil cracks and developed an algorithm to calculate fractal dimensions.
  • Correlated fractal dimensions with soil moisture content.

Main Results:

  • Fractal dimensions of soil cracking patterns are highly correlated with surface soil moisture content.
  • A decrease in soil moisture content corresponds to an increase in fractal dimension.
  • Established surface soil moisture content-fractal dimension (DB-w) rating curves.

Conclusions:

  • Fractal analysis of soil cracking provides a reliable method for estimating surface soil moisture.
  • Remote sensing techniques, such as UAVs, combined with fractal analysis, can quickly and accurately estimate soil moisture once cracks form.