The Government has formulated a Public-Private Partnership (PPP) framework for Earth Observation (EO) satellite constellations through Indian National Space Promotion and Authorization Centre (IN-SPACe).
This framework aims to enhance India's space-based observation capabilities and build an indigenous EO ecosystem.
The first PPP project has been approved with the Allied Orbits Private Limited consortium, led by PixxelSpace India.
The consortium, also including Dhruva Space, PierSight Space, and Satsure Analytics India, will develop a 12-satellite constellation by 2029.
This project involves an estimated investment of over ₹1,200 crores, with all satellites to be manufactured domestically and launched on Indian vehicles.
Detailed Insights:
Non-Government Entities (NGEs) are enabled to design, build, own, and operate EO satellite constellations end-to-end.
Their roles include satellite manufacturing (optical, multispectral, hyperspectral, Synthetic Aperture Radar (SAR)), launch services, data generation, and downstream applications.
Financial incentives include the Antariksh Venture Capital Fund of ₹1,000 crores and the Technology Adoption Fund (TAF) of ₹500 crores.
A Seed Fund Scheme provides grants up to ₹1 crore for start-ups and NGEs in various application areas.
Other support includes common technical facilities, differential pricing for Indian satellite data, and Transfer of Technology (ToT) from ISRO.
IN-SPACe functions as the nodal single-window mechanism for all NGE space activities.
These measures are complemented by the Indian Space Policy-2023, providing the overarching regulatory framework.
The PPP model strengthens national capabilities in disaster management, agriculture, climate monitoring, urban planning, and border surveillance.
It aims to build an Aatmanirbhar, data-sovereign EO ecosystem, boosting indigenous manufacturing and the space economy.
Scientific/Technical Concepts Involved:
Earth Observation (EO): Satellites collecting data about Earth's physical, chemical, and biological systems for various applications.
Synthetic Aperture Radar (SAR): A radar system that creates high-resolution images of surfaces, independent of weather or daylight conditions.
Hyperspectral Imaging: Captures images across a continuous spectrum of light, providing detailed information about materials and their composition.
Multispectral Imaging: Captures images across several discrete spectral bands, offering more information than visible light alone.