4.1 Ground-based and space-based observation techniques
3 min read•august 7, 2024
Space surveillance combines ground and space-based techniques to track objects in orbit. Ground telescopes and radar systems detect debris using visible light and radio waves. These methods have limitations but are constantly improving with new tech.
offer advantages like continuous coverage and detection of smaller objects. They use electro-optical and infrared systems to observe space debris. Networks of these sensors provide crucial situational awareness for space safety and sustainability.
Optical and Radar Observations
Ground-based Telescopes and Optical Observations
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are the primary means of detecting and tracking space objects from Earth
involve using visible light to detect and track space objects
Relies on the object reflecting sunlight
Limited to observing during clear nights when the object is illuminated by the Sun
Telescopes used for space object tracking often have wide fields of view to cover large areas of the sky (Schmidt telescopes)
Advances in telescope technology, such as adaptive optics and large aperture sizes, have improved the ability to detect and track smaller objects
Radar Observations and Tracking Methods
use radio waves to detect and track space objects
Can operate day and night, and through clouds, making them a valuable complement to optical observations
involves receiving radio waves reflected off the object, without actively transmitting a signal
Relies on the object being illuminated by another source, such as the Sun or the Earth's atmosphere
involves transmitting a radio signal and receiving the reflected signal from the object
Provides more detailed information about the object's position, velocity, and characteristics
Requires more powerful transmitters and receivers compared to passive tracking
Examples of radar systems used for space object tracking include the and the (TIRA)
Space-Based Sensors
Advantages and Types of Space-Based Sensors
Space-based sensors offer several advantages over ground-based observations
Not limited by weather conditions or atmospheric distortions
Can provide continuous coverage of large areas of space
Closer proximity to the objects being tracked allows for detection of smaller objects
are the most common type of space-based sensor
Use visible light or near-infrared wavelengths to detect and track objects
Examples include the U.S. Space-Based Space Surveillance (SBSS) satellite and the
are also used for space-based observations
Detect the heat signature of objects, allowing for detection of objects that may not reflect enough visible light
Particularly useful for detecting and tracking objects in higher orbits, such as geostationary satellites
Observation Networks and Situational Awareness
Importance of Space Situational Awareness
() refers to the knowledge and understanding of the space environment and the objects within it
Crucial for ensuring the safety and sustainability of space activities
Helps prevent collisions between satellites and other objects
Allows for the detection and tracking of potential threats, such as debris or hostile spacecraft
SSA requires the integration of data from multiple sources, including ground-based and space-based sensors
Data is processed and analyzed to create a comprehensive picture of the space environment
This information is used to support decision-making and operations planning
Collaborative Observation Networks
Observation networks involve the cooperation and sharing of data between multiple organizations and countries
Allows for more comprehensive coverage and improved accuracy in tracking space objects
Examples of observation networks include the (ISON) and the European Space Surveillance and Tracking (EU SST) consortium
ISON is a global network of telescopes operated by scientific institutions and universities
EU SST is a collaborative effort between several European countries to provide SSA services for European space assets
Observation networks also facilitate the sharing of best practices and the development of common standards for data collection and processing