wildfire-analyser 0.2.3

Python library for post-fire assessment and wildfire analysis using Google Earth Engine.

wildfire-analyser

Python project for analyzing wildfires in natural reserves.

Installation and Usage

Follow the steps below to install and test wildfire-analyser inside an isolated environment:

mkdir /tmp/test
cd /tmp/test

python3 -m venv venv
source venv/bin/activate

pip install wildfire-analyser

Required Files Before Running the Client

Before running the client, you must prepare two items:

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1. Add a GeoJSON polygon

Create a folder named polygons in the project root and place your ROI polygon file inside it:

/tmp/test/
├── polygons/
│   └── your_polygon.geojson
└── venv/

An example GeoJSON file is available in the repository.

---

2. Create the .env file with GEE authentication data

In the project root, add a .env file containing your Google Earth Engine authentication variables.

A .env template is also available in the GitHub repository.

/tmp/test/
├── .env
├── polygons/
└── venv/

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Running the Client

After adding the .env file and your GeoJSON polygon:

python3 -m wildfire_analyser.client --roi polygons/eejatai.geojson

This will start the analysis process, generate the configured deliverables, and save the output files in the current directory.

Setup Instructions for Developers

1. Clone the repository

git clone [e-mail]:camargo-advanced/wildfire-analyser.git
cd wildfire-analyser

2. Create a virtual environment

python3 -m venv venv

3. Activate the virtual environment

source venv/bin/activate

4. Install dependencies Make sure the virtual environment is activated, then run:

pip install -r requirements.txt

5. Configure environment variables Copy your version of .env file to the root folder with your GEE authentication credentials. A template file .env.template is provided as an example.

6. Run the sample client application

python3 -m wildfire_analyser.client

Useful Commands

• Deactivate the virtual environment:

deactivate