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Predict soil moisture based on cosmic ray neutron sensing data using a random forest model

Project description

SOIL MOISTURE PREDICTION

Python 3.9.5

Description

This script performs soil moisture prediction using a Random Forest model based on soil properties. Additionally, it allows for incorporating soil moisture uncertainty in the input file and performs a probabilistic prediction using a Monte Carlo approach.

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Usage

Prepare your input soil moisture data

  • Ensure your input CSV file includes x and y coordinates, date and soil moisture values.
  • Optionally, include a or two columns for soil moisture uncertainty if available.
  • Example CSV structure:
x y date soil moisture lower error upper error
10.1 20.5 2022-02-15 0.4 0.38 0.42
12.0 22.8 2022-02-15 0.5 0.48 0.52
9.3 21.0 2022-02-16 0.6 0.58 0.62
... ... ... ... ... ...

Prepare your soil propertie data:

  • ASCII/CSV files should include x,y coordinates and property values
  • Example ASCII file:
x y value
10.1 20.5 167
12.0 22.8 196

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