Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
podcast
Filter by Categories
ArcGIS Pro
GDAL
GeoJson
Map
Map Tools
Maps
postgis
Python
QGIS
Uncategorized

The Basics of Synthetic Aperture Radar

What is Synthetic-Aperture Radar (SAR)

Synthetic Aperture Radar (SAR) is a type of remote sensing technology that uses radar to measure the reflection of electromagnetic waves off the surface of the Earth. The basic principle of SAR is to use the motion of a radar antenna to synthesize a large aperture, which allows the radar to achieve high-resolution imaging even from a relatively small antenna.

SAR works by emitting a radar signal toward the Earth’s surface and then measuring the reflection of that signal back to the antenna. The radar signal is typically in the microwave portion of the electromagnetic spectrum and can penetrate through clouds, haze, and smoke, making it useful for all-weather imaging.

The radar signal reflects off the surface of the Earth and is collected by the antenna, which is typically mounted on a moving platform such as an aircraft or satellite. The antenna then records the phase and amplitude of the reflected signal, which is used to create an image of the Earth’s surface.

SAR technology can be used to acquire images of the Earth’s surface in various modes, such as spotlight, stripmap, and scanSAR.

  • Spotlight mode is used to acquire high-resolution images of small areas
  • Stripmap mode is used to acquire images of wider areas at moderate resolution
  • ScanSAR mode is used to acquire images of very wide areas at low resolution.

SAR imagery has a wide range of applications, including mapping, geological surveys, coastal zone management, disaster management, and even in precision agriculture, by detecting crop health, soil moisture, and identifying areas of the field that need more attention.

https://mapscaping.com/podcasts/introduction-to-synthetic-aperture-radar-sar/
In-depth introduction to SAR

How does SAR work?

SAR uses radar to measure the reflection of electromagnetic waves off the surface of the Earth. The basic principle of SAR is to use the motion of a radar antenna to synthesize a large aperture, which allows the radar to achieve high-resolution imaging even from a relatively small antenna.

In the context of Synthetic Aperture Radar (SAR) technology, “synthesizing a larger aperture” means creating the equivalent of a large antenna by combining data from a series of radar pulses emitted and received by a smaller antenna while it is in motion.

Why is it called Synthetic-Aperture Radar?

The aperture is the physical size of the radar antenna, and it determines the resolution of the image. A larger aperture means a higher-resolution image. Synthetic aperture radar combines radar pulses from different positions along the antenna’s flight path, using the motion of the antenna to simulate a much larger aperture than the physical size of the antenna. This process is called “synthetic” because it creates an aperture that is larger than the physical size of the antenna, and thus the resolution of the image is higher.

The key advantage of this technique is that it allows for high-resolution imaging from a smaller antenna, which is particularly useful for applications such as mapping, geological surveys, coastal zone management, and disaster management. It also allows for the imaging of small areas, making it useful in precision agriculture.

What are the differences between radar and SAR?

While radar and Synthetic Aperture Radar (SAR) both use radio waves to detect objects and measure distance, there are a few key differences between the two technologies:

  1. Aperture size: The aperture size refers to the physical size of the radar antenna, which determines the resolution of the image. A larger aperture means a higher-resolution image. In conventional radar, the aperture size is limited by the physical size of the antenna. However, SAR uses the motion of the radar antenna to synthesize a larger aperture, which allows for higher-resolution imaging.
  2. Resolution: Because of the larger aperture size in SAR, the resolution of the images is higher than that of radar.
  3. Platforms: Conventional radar requires a large antenna to achieve high-resolution imaging and is typically mounted on stationary platforms, such as towers or ground-based vehicles. SAR can be mounted on a moving platform, such as an aircraft or satellite, and still achieve high-resolution imaging.
  4. Applications: Conventional radar is used for navigation, tracking, and detection of objects, while SAR is used for creating high-resolution images of the earth’s surface, measuring surface deformation, and monitoring changes in the surface of the earth over time.

Phase and amplitude?

In the context of Synthetic Aperture Radar (SAR) imaging, “phase” and “amplitude” refer to two key characteristics of the radar signal that is reflected off the surface of the Earth and received by the radar antenna.

The “amplitude” of a radar signal refers to the strength or power of the signal. In SAR imaging, the amplitude of the reflected signal is used to create a grayscale image of the Earth’s surface, where areas of high amplitude (strong reflection) appear as bright areas in the image, and areas of low amplitude (weak reflection) appear as dark areas.

The “phase” of a radar signal refers to the timing of the signal, specifically, the relationship between the phase of the transmitted signal and the phase of the reflected signal. In SAR imaging, the phase of the reflected signal is used to create an interferometric image of the Earth’s surface, which can be used to measure small changes in surface elevation over time.

By using both amplitude and phase information, SAR can generate different types of images that can be used for different applications, such as amplitude images for mapping and monitoring vegetation, and interferometric images for measuring surface deformation and elevation changes.

Is SAR an active or passive sensor?

Synthetic Aperture Radar (SAR) is an active remote sensing technology. This means it emits its own energy (radar signals) to illuminate the target and measures the reflection of the energy back to the sensor. Active remote sensing systems emit a signal, and then measure the return signal, providing information about the object or surface being imaged.

This is in contrast to passive remote sensing, which relies on natural energy sources, such as sunlight, to illuminate the target. Passive remote sensing systems detect and measure the natural energy emitted or reflected by an object or surface. In the case of SAR the radar signal is emitted by the antenna and the reflected signal is received by the same antenna. The data collected from this active emission is then processed to create an image of the Earth’s surface.

What are the advantages of SAR?

The ability to penetrate clouds, haze, and smoke, making it useful for all-weather imaging, and the ability to acquire high-resolution images of small areas. SAR is also useful for monitoring changes in the surface of the Earth over time, such as changes in vegetation cover or surface deformation.

SAR can penetrate to some extent below the surface of the earth, but it depends on the frequency used, the soil characteristics, and the subsurface structure.

What are the disadvantages of SAR?

Georeferencing is a critical part of working with SAR images. The images need to be georeferenced in order to figure out where they are on the surface. SAR sensors are usually pointed at Earth at an oblique angle, georeferencing SAR images can be difficult. Georeferencing algorithms have to undergo a robust training phase in order to achieve the level of accuracy required. As we continue to see the popularity of SAR technology grow, we may see this get easier

Telecommunications in urban environments create a lot of noise for SAR sensors as they use the same frequencies.  Reflective surfaces also create a lot of noise. This problem can be overcome by using different polarizations. A SAR signal can be sent in three ways: Vertical, horizontal, or as an alternating combination of the two in some cases.

When the signal is bounces off different materials or noises, the polarised signal goes from vertical to horizontal and vice versa. Detecting these polarization changes, and measuring their magnitude makes it possible to identify the source of noise that caused the change of polarizations and correct for it.

https://mapscaping.com/podcasts/finding-water-leaks-from-space/
Using SAR to find water leaks underground

Applications Synthetic Aperture Radar (SAR)

  1. Mapping: The amplitude information can be used to create a grayscale image of the Earth’s surface, which can be used to map features such as terrain, vegetation, and man-made structures. This can be useful for applications such as land-use mapping, urban planning, and disaster management.
  2. Vegetation monitoring: The amplitude information can be used to monitor changes in vegetation cover, such as changes in crop growth or forest canopy. This can be useful for applications such as precision agriculture, natural resource management, and climate change monitoring.
  3. Flood mapping: The amplitude information can be used to detect and map flooded areas, which can be useful for applications such as flood forecasting, disaster management, and water resource management.
  4. Ice sheet monitoring: The amplitude information can be used to detect changes in the surface of ice sheets and glaciers, which can provide valuable information about global warming and sea level rise.
  5. Damage assessment: The amplitude information can be used to assess the damage caused by natural disasters, such as earthquakes and floods, by identifying changes in the surface of the Earth.
  6. Oceanography: The amplitude information can be used to detect changes in ocean surface, such as waves and currents, which can be used for oceanography studies and coastal zone management.
  7. Interferometry: The phase information can be used to create an interferometric image of the Earth’s surface, which can be used to measure small changes in surface elevation over time. This can be useful for applications such as measuring surface deformation caused by earthquakes, volcanic activity, or land subsidence.
  8. Topography: The phase information can be used to create a digital elevation model (DEM) of the Earth’s surface, which can be used to map topography, generate 3D visualizations, and perform terrain analysis.
  9. Change detection: The phase information can be used to detect small changes in the surface of the Earth over time, such as changes in vegetation cover or urban expansion.
  10. Precision Agriculture: The phase information can be used to detect small changes in the surface of the Earth, such as changes in soil moisture and crop health, which can be used to optimize crop management and improve yields.

The “Shuttle Radar Topography Mission” SRTM

The Shuttle Radar Topography Mission (SRTM) was a joint project between NASA and the National Geospatial-Intelligence Agency (NGA) that used Synthetic Aperture Radar (SAR) to map the topography of the Earth’s surface. The mission was conducted in 2000, aboard the Space Shuttle Endeavour, which flew over 80% of the Earth’s landmass, collecting data with a radar instrument that used both C-band and X-band frequencies.

The SRTM mission aimed to generate a high-resolution digital elevation model (DEM) of the Earth’s surface, which would be used for a variety of applications, including topographic mapping, geology, hydrology, oceanography, coastal zone management, and environmental management.

The SRTM instrument was able to acquire data from a wide range of terrain, including mountains, forests, deserts, and even urban areas, and could penetrate through clouds, haze, and smoke. The data collected by the SRTM instrument was processed to create a high-resolution global digital elevation model (DEM) with a resolution of 30m.

What is the difference between lidar and InSAR?

LiDAR and Interferometric Synthetic Aperture Radar (InSAR) are both remote sensing technologies, but they operate in different portions of the electromagnetic spectrum and are used for different applications.

LiDAR (Light Detection and Ranging) uses laser light to measure the distance to an object or surface. It sends out a laser pulse and measures the time it takes for the pulse to return. From that, it can calculate the distance to the object or surface. LiDAR can be used to create detailed 3D models of the environment, by measuring the distance to multiple points on the surface of the earth. LiDAR is often used in applications such as topographic mapping, vegetation monitoring, and urban planning.

InSAR, on the other hand, uses radar waves to measure the reflection of electromagnetic waves off the surface of the Earth. InSAR captures images of the same area at different times and by comparing these images, it can detect small changes in the surface of the Earth, such as changes in surface elevation, or changes in the surface roughness. InSAR is often used in applications such as measuring surface deformation caused by earthquakes, volcanic activity, or land subsidence, and for precision agriculture.

Conclusion

In conclusion, Synthetic Aperture Radar (SAR) is a powerful remote sensing technology that uses radar to measure the reflection of electromagnetic waves off the surface of the Earth. The ability to create high-resolution images even from a relatively small antenna makes SAR an important technology for a wide range of applications such as precision agriculture, topographic mapping, geological surveys, coastal zone management, and environmental management.

The data collected by SAR can be used to generate high-resolution digital elevation models (DEMs) which help in precision agriculture by providing information about the terrain which helps in crop management.

About the Author
I'm Daniel O'Donohue, the voice and creator behind The MapScaping Podcast ( A podcast for the geospatial community ). With a professional background as a geospatial specialist, I've spent years harnessing the power of spatial to unravel the complexities of our world, one layer at a time.