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Question
Mention salient features of ‘Mission Drishti’. Discuss the imaging techniques used in the satellite launched on 3rd May 2026. Why is it being considered the world’s first satellite of its kind?
Model Answer

Launched aboard a SpaceX Falcon 9 rocket on 3rd May 2026, Mission Drishti was developed by the Bengaluru-based spacetech startup GalaxEye. The mission represents a major milestone in Earth observation by demonstrating the integration of high-resolution Optical and Synthetic Aperture Radar (SAR) imaging payloads onto a single satellite bus.

Salient Features of Mission Drishti

  • Private Spacetech Milestone: Weighing approximately 190 kg, Drishti represents India’s largest privately designed and developed commercial Earth-observation satellite placed into low Earth orbit.
  • Proprietary OptoSAR Architecture: Houses Synthetic Aperture Radar (SAR) and Multi-Spectral Imaging (MSI) instruments within a single platform, enabling synchronous data collection over the same geographical footprint.
  • High Spatial Resolution: Delivers sub-meter to high-resolution products, capturing spatial details between 1.2 to 3.6 metres, with fused hybrid imagery reaching approximately 1.8 metres spatial resolution.
  • Rapid Revisit Frequency: Designed around a responsive 4-day revisit cycle to provide dynamic monitoring over critical strategic and economic corridors.
  • Onboard Edge AI Processing: Incorporates space-qualified edge computing hardware to process raw sensor feeds on orbit, reducing transmission bandwidth and shortening the time required to deliver actionable data.
  • Dual-Use Applications: Designed to serve both commercial users (precision agriculture, maritime logistics, urban infrastructure monitoring) and strategic applications (border surveillance, disaster relief mapping).

Imaging Techniques Deployed in the Mission

  • 1. Synthetic Aperture Radar (SAR):
    • An active sensor operating in the X-band microwave spectrum that illuminates the Earth’s surface with radar pulses and records the backscattered signal.
    • Provides all-weather, day-and-night imaging capability, penetrating through cloud cover, monsoonal haze, and smoke that typically obstruct traditional optical sensors.
  • 2. Multi-Spectral Imaging (MSI):
    • A passive sensor that captures reflected sunlight across distinct spectral bands—including Visible (RGB), Panchromatic, Coastal Blue, Red Edge, and Near-Infrared (NIR).
    • Delivers high visual clarity and spectral indices useful for evaluating crop health (NDVI), soil moisture, forest canopy condition, and surface water bodies.
  • 3. Synchronous OptoSAR Data Fusion:
    • The core technical capability of the mission is the co-registration and real-time fusion of optical and radar telemetry captured simultaneously during a single orbital pass.
    • Combines the visual intuition of high-resolution optical imagery with the physical structural and moisture data provided by radar backscatter.

Why Mission Drishti is Considered the “World’s First of Its Kind”

  • Overcoming the Historical Sensor Trade-Off: Traditional Earth observation systems operate optical and radar sensors on separate satellites. Optical satellites provide high interpretability but are hindered by darkness and cloud cover, while radar satellites provide all-weather capability but produce complex, non-intuitive imagery. Drishti combines both on a single platform.
  • First Commercial OptoSAR Satellite: It is described as the world’s first commercially launched satellite to co-locate high-resolution SAR and Multi-Spectral payloads on a single microsatellite bus.
  • Eliminating Temporal Mismatch: In multi-satellite setups, hours or days often elapse between an optical image and a radar scan of the same location. Drishti captures both simultaneously, providing real-time data fusion for time-critical disaster monitoring, maritime tracking, and defense intelligence.

Mission Drishti reflects the maturation of India’s private spacetech sector, moving from satellite manufacturing toward sensor fusion and advanced orbital data processing.

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