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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