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Related Experiment Video

Updated: Jan 9, 2026

Simulating Impacts of Ice Storms on Forest Ecosystems
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Using Trees as a Natural Weather Station for Wind Pattern Forecasting Applied to Forest Firefighting.

Virgínia Vieira Aires1, Cleonilson Protasio Souza2, Orlando Rocha Baiocchi3

  • 1Graduate Program of Electrical Engineering, Federal University of Paraíba, Joao Pessoa 58051-900, PB, Brazil.

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|December 11, 2025
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Summary

Natural trees can monitor weather! This study shows internal tree temperature, measured by low-cost sensors, accurately predicts wind speed and direction, aiding environmental monitoring and forest fire prevention.

Keywords:
climate modelingmachine learningtemperature sensorstreeswavelet transformwind forecasting

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Area of Science:

  • Environmental Science
  • Data Science
  • Forestry

Background:

  • Extreme weather events necessitate advanced environmental monitoring.
  • Traditional methods can be costly and inaccessible in remote areas.
  • Developing low-cost, innovative monitoring solutions is crucial.

Purpose of the Study:

  • To investigate the feasibility of using internal tree temperature to assess weather parameters.
  • To develop an accessible environmental monitoring system using natural trees and embedded technology.
  • To evaluate the accuracy of machine learning models in interpreting tree temperature data for weather prediction.

Main Methods:

  • Implementing a low-cost embedded system to measure internal tree trunk temperature.
  • Applying multiscale decomposition techniques, specifically Discrete Wavelet Transform.
  • Utilizing machine learning models including Random Forest, Gradient Boosting, Support Vector Machines (SVM), and Linear Regression.

Main Results:

  • The Random Forest model demonstrated the highest accuracy in predicting weather parameters from tree temperature data.
  • An error rate of 6.60% was achieved over a continuous 47-day monitoring period.
  • The study confirmed a significant correlation between internal tree temperature and weather conditions like wind speed and direction.

Conclusions:

  • A tree-based environmental monitoring system is a viable and cost-effective solution.
  • This method offers a promising approach for weather monitoring in remote or hard-to-reach locations.
  • The system has particular potential for applications such as forest fire prevention.