RaderonLab AirQ Platform
Satellite air-quality, vegetation and active-fire monitoring.
The problem it solved
Air-quality, wildfire and vegetation data live in separate satellite feeds, each with its own format and tooling. This platform pulls FIRMS, Sentinel and AirQ into one analyst desktop and a consumer-grade mobile app.
Similar problems it can solve
Wildfire situational awareness for first responders, ESG/compliance environmental dashboards, agricultural vegetation monitoring, and consumer air-quality advisories powered by satellite data.
A modern environmental-monitoring platform across four components — a desktop AirQ analyzer, a satellite-data collector, a FIRMS active-fire/Sentinel/vegetation viewer with archive and multi-language support, and a Gemini-powered React Native mobile app for end users. Built to fuse air pollution, fire and vegetation signals from space into one decision tool.
- Four components — AirQ desktop, Satellite collector, FIRMS/Sentinel viewer, mobile app
- NASA FIRMS active fire + Sentinel vegetation + air-quality fused into one map
- Gemini-powered mobile companion in React/Vite/TypeScript for end-user advisories
Overview
The RaderonLab AirQ Platform is a modern environmental-monitoring suite — a successor to the earlier Sentinel-5P prototype — that fuses air quality, active fires and vegetation health from space into one decision tool and a consumer mobile app.
One platform, many components
Four solutions co-engineered: RaderonLab.AirQ — a WPF desktop analyzer; RaderonLab.AirQ.Sattelite — a data collector with its own database service that ingests satellite measurements; RaderonLab.Firms — a multi-window viewer (MapWindow, SentinelWindow for vegetation, VegetationWindow, ArchiveWindow, DebugWindow) over NASA FIRMS active-fire data with built-in multi-language packs; and AirPolutionMobileApp — a React + Vite + TypeScript mobile app for end users with a Gemini AI service for advisories.
Engineering depth
The satellite component owns ingestion + persistence; the Firms component owns visualisation across multiple satellite layers (FIRMS, Sentinel, vegetation) with archive replay; the desktop component owns analysis; the mobile app delivers it to end-users with AI explanations. Each piece is sized to its job — heavy lifting in WPF/.NET, distribution in TypeScript.
Technology
.NET / WPF (.AirQ, .Sattelite, .Firms), NASA FIRMS, Copernicus/Sentinel layers, React + Vite + TypeScript (mobile), and Gemini AI for end-user explanations.