Imagery-Based Analytics for Researchers
We built a tool to help researchers easily browse and analyze ESA's daily imagery data for informed decision-making.
Main challenges solved
- advanced data analyzation tools
- Roubust object-level metadata management
- detailed info and images about each POI
Key services and tools
Project Management
UX design
Geoserver
Open Source GIS Tools
Task Automatization
Satellite Imagery Processing
Kubernetes
From Satellite to Insight
FIR automates the daily harvesting, processing, and classification of multispectral raster images, delivering timely information for environmental management. Raster and vector datasets are visualized in interactive mapping applications tailored to domains such as Water Management, Forestry, and Agriculture.
Custom Data Services
A bespoke backend API service was developed to handle RDBMS-based spatial evaluations, including complex 3D overlap analysis. GDAL/OGR scripting was used extensively to manipulate both raster and vector data efficiently.
Cloud-Native Architecture
As part of the project's Architect Board, we contributed recommendations for both software and hardware components, ensuring a scalable, cloud-ready system design. The applications were deployed in a Kubernetes cluster using Helm charts, with direct integration to multiple system components and third-party APIs.
Collaborative Development
With integration across five or more development teams, the project showcased strong collaboration and agile delivery. The result is a robust geospatial data pipeline that transforms raw satellite imagery into actionable insights.