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Related Experiment Video

Updated: Jul 15, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

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Demonstration of a Modular Prototype End-to-End Simulator for Aquatic Remote Sensing Applications.

Mark W Matthews¹, Arnold Dekker^2,3, Ian Price⁴

¹CyanoLakes (Pty) Ltd., Sydney, NSW 2126, Australia.

Sensors (Basel, Switzerland)

|September 28, 2023

Summary

A new simulator tool models satellite multispectral imagery for aquatic environments. This tool helps optimize satellite sensor design for better remote sensing data quality and cost-effectiveness.

Keywords:

CubeSat SmallSat bathymetry coral reefs cyanobacterial blooms design end-to-end simulator optical sensors optics remote sensing satellite

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Area of Science:

Earth Observation
Remote Sensing
Aquatic Ecosystems

Background:

Satellite multispectral imagery is crucial for monitoring aquatic environments.
Sensor design choices impact the quality of derived data products.
Challenges exist in validating remote sensing algorithms with real-world data.

Purpose of the Study:

To introduce a prototype end-to-end simulator for 2D satellite multispectral imagery in aquatic settings.
To assess the impact of sensor configurations on value-added products for coral reefs and algal blooms.
To guide satellite sensor design by linking specifications to end-user requirements.

Main Methods:

Development of a prototype end-to-end simulator software tool.
Simulation of 2D satellite multispectral imagery for various instrument models.
Case studies focusing on coral reefs and cyanobacterial blooms.
Analysis of sensor configuration impacts on data product performance.

Main Results:

Demonstrated how sensor design decisions, influenced by cost, affect remote sensing product quality.
Identified scenarios where retrieval algorithms need further parameterization for unsimulated data.
Validated the utility of the simulator in assessing instrument performance against user needs.

Conclusions:

The simulator aids in verifying instrument designs meet performance requirements before launch.
It facilitates understanding of design trade-offs in early-phase satellite development.
The tool supports informed decision-making for future Earth observation systems.