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1006, Kanchenjunga Building, 18, Barakhamba Road, New Delhi-110001, India
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CP 2154, Sector 16A, Vasundhara, Ghaziabad- 201012, Uttar Pradesh, India
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Frequently asked questions by our customers...
Satellite imagery is the collection of images of Earth captured by satellites orbiting the planet. These satellites use sensors to record reflected or emitted energy from the Earth’s surface across different wavelengths, such as visible, infrared, and radar. The data is then processed and analyzed to monitor land use, environmental changes, infrastructure, and natural disasters.
Satellite imagery and geospatial data are widely used across many industries, including:
Agriculture (crop monitoring, yield prediction)
Urban planning and smart cities
Environmental monitoring and climate research
Disaster management and emergency response
Defense and security
Infrastructure development and utilities
These industries rely on satellite data to make faster, data-driven decisions.
The main types of satellite imagery include:
Optical imagery – captures images similar to photographs using visible light
Multispectral imagery – records data across multiple wavelengths for environmental and agricultural analysis
Hyperspectral imagery – captures hundreds of spectral bands for advanced material detection
Synthetic Aperture Radar (SAR) – uses radar signals and can collect data through clouds and at night
Each type is used for different applications depending on accuracy, weather conditions, and analysis needs.
The accuracy of satellite imagery depends on factors such as spatial resolution, sensor type, revisit frequency, and processing methods. High-resolution commercial satellites can capture imagery with detail down to 30 cm per pixel, while lower-resolution satellites provide broader regional coverage. Accuracy also improves when satellite imagery is combined with ground data and advanced geospatial analytics.
Geospatial analysis is the process of collecting, visualizing, and interpreting location-based data to identify patterns, trends, and relationships on Earth’s surface. It is important because it enables organizations to understand spatial dynamics, predict future changes, optimize resources, and support strategic planning using real-world geographic insights.