Rzecin Peatland Monitoring Platform

Description

This project develops a cloud-based platform for real-time monitoring of the Rzecin peatland study area. The platform integrates data from various sensor types, providing a comprehensive view of the peatland's ecological status and dynamics.

Peatland Area

Rzecin is a valuable peatland ecosystem, characterized by its unique hydrological regime and vegetation composition. Peatlands play a crucial role in carbon storage, water regulation, and biodiversity conservation. Monitoring the peatland is essential to understand its response to environmental changes and to ensure its long-term preservation.

System Components

The platform consists of three main components:

1. Edge Simulator: Simulates sensor data collection from the peatland environment.

2. Cloud Handler: Processes and stores the incoming sensor data.

3. Real-time Dashboard: Visualizes the sensor data in real-time, providing insights into the peatland's environmental conditions.

Sensors

The platform manages data from the following sensors:

• Eddy Covariance System: Measures the fluxes of carbon dioxide, water vapor, and energy between the peatland and the atmosphere.
• Spectrometers: Capture spectral reflectance data, which can be used to monitor vegetation health and species composition.
• Pheno Cams: Provide visual information about the phenological development of vegetation.
• Other IoT Sensors: These can include a range of sensors, such as soil moisture sensors, water level sensors, temperature sensors, and more, providing additional data on the peatland's biophysical state.

Dashboard Features

The real-time dashboard provides visualization of key environmental parameters including:

• Air Temperature (°C)
• Wind Speed (m/s)
• CO₂ Flux (μmol/m²/s)
• H₂O Flux (mmol/m²/s)

The dashboard displays both current readings and historical data through interactive charts.

Installation and Setup

1. Clone the repository
2. Install the required dependencies:

   pip install -r requirements.txt
   

Running the Application

To start the entire system, run:

python -m src.app.main

This will start:

• The data handler process
• The dashboard server
• The API server

Access the dashboard at: http://localhost:5001/