GEO-NIMBUS - Cloud-Native Geospatial Data Platform
A cloud-native geospatial platform built in collaboration with ISRO for processing, streaming, and visualizing INSAT satellite imagery using Cloud-Optimized GeoTIFFs (COGs).
Timeline
2025
Role
Full Stack Developer
Team
Team Project (ISRO Collaboration)
Status
CompletedTechnology Stack
Key Challenges
- Large Geospatial Data Processing
- Cloud-Optimized GeoTIFF Streaming
- Interactive Map Visualization
- Satellite Image Processing
- Scalable Storage Architecture
- High-performance Rendering
Key Learnings
- Geospatial Data Processing
- Cloud-native Architecture
- Mapbox Integration
- GDAL & Raster Processing
- Frontend Performance Optimization
Overview
GEO-NIMBUS is a cloud-native geospatial platform developed in collaboration with ISRO to modernize the way INSAT satellite imagery is processed, accessed, and visualized. The platform converts raw satellite imagery into Cloud-Optimized GeoTIFFs (COGs), enabling fast streaming, interactive visualization, and on-demand analysis directly in the browser.
Built for researchers and geospatial professionals, GEO-NIMBUS simplifies satellite data exploration through a modern web interface while leveraging scalable cloud infrastructure for efficient processing and storage.
Tech Stack
- Next.js
- TypeScript
- Tailwind CSS
- Node.js
- Express.js
- PostgreSQL
- Prisma
- Mapbox
- GDAL
- Cloud-Optimized GeoTIFF (COG)
- AWS S3
- Docker
- REST APIs
Key Features
Project Details
- Cloud-Optimized GeoTIFF (COG) processing.
- Interactive satellite imagery visualization.
- On-demand partial image streaming.
- Multi-band raster analysis tools.
- RGB composite generation.
- Metadata management and inspection.
- Browser-based geospatial visualization.
- High-performance cloud storage integration.
- Responsive modern dashboard.
- REST API powered architecture.
Platform Highlights
- Cloud-Native Processing: Convert INSAT Level-1 satellite imagery into Cloud-Optimized GeoTIFFs for efficient cloud-based access.
- Interactive Visualization: Explore large satellite datasets directly in the browser with Mapbox-powered rendering.
- Partial Downloads: Stream only the required portions of massive raster datasets, reducing bandwidth and improving performance.
- Real-time Analysis: Perform band arithmetic, RGB visualization, and geospatial analysis without downloading complete datasets.
- Scalable Infrastructure: Built using AWS S3, GDAL, and cloud-native technologies for reliable large-scale processing.
- Research Ready: Designed for scientists, researchers, and organizations working with Earth observation data.
Core Capabilities
- Processing: Convert raw INSAT imagery into Cloud-Optimized GeoTIFFs.
- Visualization: Interactive Mapbox-based rendering of satellite imagery.
- Streaming: Efficient partial downloads and cloud-based raster access.
- Analysis: Band arithmetic, RGB composites, metadata inspection, and raster exploration.
- Storage: Cloud-native storage architecture using AWS S3 and optimized geospatial formats.
- Platform: Modern web interface for scalable satellite data management and exploration.