Space Tech & Satellite Analytics
This project focuses on using satellite data and space-tech infrastructure to deliver actionable insights on land, water, atmosphere, and infrastructure—supporting climate resilience, agriculture, urban planning, disaster response, and security.
Project Overview
The Space Tech & Satellite Analytics initiative turns raw satellite streams into clear, domain-ready products: maps, indicators, alerts, and APIs that can be plugged into existing workflows across climate, agriculture, water, and infrastructure.
Current focus tracks:
- Earth observation analytics over optical, SAR, and night-lights imagery.
- Multi-sensor fusion combining EO, weather, elevation, and in-situ data.
- Downstream applications for crops, water bodies, urban growth, and disasters.
Objectives
- Make satellite data usable by non-experts through simple products and APIs.
- Provide near-real-time monitoring for land, water, and infrastructure assets.
- Support policy-makers, companies, and communities with evidence-based decisions.
- Build reusable building blocks that plug into other Gautam Research projects.
Tech Stack & Methods
The project combines remote sensing, geospatial data engineering, and AI:
- Data: Multispectral & hyperspectral imagery, SAR, elevation models, night-time lights, maritime AIS/ADS-B, and climate reanalysis datasets.
- Models: Computer vision for segmentation & detection, time-series models for trend and anomaly detection, and change-detection pipelines.
- Pipelines: Cloud-native pre-processing (cloud masking, tiling, reprojection), feature extraction, and region-of-interest analytics.
- Delivery: Web dashboards, APIs, and plug-ins for GIS and analytics platforms.
Real-world Applications
- Crop monitoring, acreage estimation, and stress mapping at village / district scales.
- Surface water body mapping, drought indicators, and flood-extent estimation.
- Urban growth and land-use / land-cover change analytics for planners.
- Maritime domain awareness using AIS + EO, including vessel patterns and anomalies.
Access & Partnerships
The design emphasises partnerships: space agencies, satellite operators, and open-data providers on one side; governments, researchers, and startups on the other—connected through interoperable data layers and open standards where possible.
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