🛰️ NISAR Learning Centre

Discover how radar satellites observe our changing Earth

Dancing with the SARs | THIS WEBSITE HAS BEEN CREATED BY SAJAN SARAVANAN

1. What is NISAR?

NISAR stands for NASA-ISRO Synthetic Aperture Radar. It is a joint Earth-observation satellite mission developed by NASA and ISRO.

NISAR studies Earth's land, ice, vegetation and other surfaces using radar technology.

Mission idea: Observe how our planet changes over time using radar signals sent from space.

What can NISAR help scientists study?

🌊 Floods

Study flooded areas and changes in water-covered land.

🌳 Forests

Study forest structure and changes in vegetation.

🌋 Earthquakes

Measure ground-surface movement using radar observations.

🧊 Glaciers

Study ice movement and changes in glaciers.

🌾 Agriculture

Observe changes in crops and agricultural landscapes.

🏞️ Wetlands

Monitor wetlands and changing water conditions.

2. How does NISAR work?

NISAR uses a technology called Synthetic Aperture Radar, commonly known as SAR.

How radar observation happens

  1. The satellite sends microwave radar signals towards Earth.
  2. The signals interact with the Earth's surface.
  3. Some radar energy returns towards the satellite.
  4. The satellite records the returning signals.
  5. Scientists process the signals to study Earth's surface.
Unlike ordinary optical cameras, radar does not depend on sunlight. It can collect observations during both daytime and nighttime and can often observe through clouds.

Active and passive remote sensing

Active sensing

Radar sends its own energy towards Earth and measures the returning signal.

Example: NISAR

Passive sensing

Sensors measure naturally available energy, such as sunlight reflected from Earth's surface.

Example: Many optical satellite sensors

3. How does radar interact with Earth's surface?

When NISAR sends microwave signals towards Earth, different surfaces scatter the radar energy in different ways. Scientists study the returning signal to understand the surface.

A. Surface scattering

Smooth surfaces such as calm water often reflect radar energy away from the satellite. Therefore, they may appear dark in a radar image.

B. Volume scattering

Forests and vegetation contain leaves, branches and stems. Radar signals can scatter between these different parts of the vegetation.

C. Double-bounce scattering

Radar energy can bounce between two surfaces, such as the ground and a vertical building wall or tree trunk. This can produce a strong return.

Remember: Radar brightness depends on several factors, including surface roughness, moisture, geometry, vegetation and radar viewing direction. A dark pixel does not always mean water!

4. NISAR's two radar bands

NISAR carries two radar systems that use different microwave wavelength ranges.

L-band radar

Frequency: Approximately 1.2 GHz

Wavelength: Approximately 24 cm

L-band has a relatively long wavelength. It is useful for studying vegetation, forests, soil and ground movement.

S-band radar

Frequency: Approximately 3.2 GHz

Wavelength: Approximately 9.4 cm

S-band has a shorter wavelength than L-band. It provides another view of Earth's surface and vegetation.

Easy way to remember: L-band has a longer wavelength than S-band. The two radar bands provide complementary observations.

5. Understanding radar polarisation

Polarisation describes the direction in which a radar wave is transmitted and the direction in which its returning signal is received.

There are four common polarisation combinations:

Select a polarisation

Click HH, HV, VH or VV to learn what each combination means.

Two important groups

Co-polarisation

The transmitted and received waves have the same polarisation.

HH VV

Cross-polarisation

The transmitted and received waves have different polarisations.

HV VH
Cross-polarised measurements can be useful for studying volume scattering from vegetation. Interpretation depends on the surface and observation conditions.

6. How to understand radar image colours

Radar images are not ordinary photographs. They represent measurements of radar signals returned from Earth's surface.

Grayscale radar images

In a grayscale image, different brightness levels represent different radar return strengths.

Dark pixels represent lower displayed intensity, while bright pixels represent higher displayed intensity.

False-colour radar images

Scientists can assign different radar measurements to red, green and blue display channels. This creates a false-colour composite.

The colours help highlight differences between measurements. They are not the actual colours of the land.

Important: Red does not always mean vegetation, and blue does not always mean water. The meaning depends on which measurements were assigned to each colour channel. Always check the image legend.

7. Understanding NISAR data products

NISAR data is available in different products. Each product is designed for particular scientific uses.

GCOV

Geocoded Covariance Matrix

GCOV provides map-projected radar measurements describing surface scattering and polarimetric information.

It can help scientists study vegetation, flooding, agricultural areas and surface changes.

GUNW

Geocoded Unwrapped Interferogram

GUNW is an interferometric product made using radar observations from different acquisitions.

It can help scientists investigate ground movement and deformation.

Remember: GCOV and GUNW are different scientific products. A GUNW browse preview is not automatically a map of earthquake displacement. Scientific interpretation requires the appropriate data and processing.

8. How can scientists compare observations?

Scientists can study changes by comparing observations collected at different times.

  1. Select an area on Earth.
  2. Find suitable radar observations from an earlier date.
  3. Find suitable observations from a later date.
  4. Check that the products and observation conditions are compatible.
  5. Compare the measurements using appropriate scientific methods.
  6. Use additional information to understand possible reasons for the change.
For reliable comparisons, scientists consider acquisition geometry, polarisation, processing and environmental conditions. A single image cannot prove why a surface changed.

9. Real-world applications of NISAR

🌊 Flood monitoring

Radar observations can help map flooded areas, including during cloudy weather.

🌲 Forest monitoring

Radar measurements can help investigate forest structure and changes.

🌍 Earthquakes

Interferometric radar techniques can reveal patterns of ground deformation.

🌾 Agriculture

Radar observations can help study crop growth and changing field conditions.

🧊 Ice monitoring

Satellite radar can help scientists study glacier and ice movement.

🏞️ Wetlands

Radar can support monitoring of wetlands and changing water conditions.

10. Test your NISAR knowledge

Try these questions to check what you have learned.

Question 1

What does SAR stand for?

Question 2

Which radar band has the longer wavelength?

Question 3

What does HH mean?

Question 4

Which product is an interferometric product?

Question 5

Does a dark pixel always mean water?

11. Explore official learning resources

Use these resources to learn more about NISAR, radar remote sensing and satellite data.

NASA-ISRO NISAR Mission Website NASA Alaska Satellite Facility Data Search NISAR Data User Guide NASA Earthdata Search NASA Earthdata: What is Synthetic Aperture Radar? NASA Earthdata: What is Remote Sensing? NASA ARSET Training Resources NASA UAVSAR

12. What is Dancing with the SARs?

Dancing with the SARs is our student project that connects users with real NISAR observations.

Users can select a date, choose a location on the interactive map, and select GUNW or GCOV to search available observations.

Our goal is to make satellite radar data easier for students to explore and understand.

Explore real satellite observations!

Visit the Image Explorer to search for NISAR observations from different locations.

→ Open NISAR Image Explorer