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Displacement Vectors in Satellite Remote Sensing

  • Writer: Dr D Sekhar Vaka
    Dr D Sekhar Vaka
  • Aug 12
  • 2 min read

Understanding displacement vectors in satellite remote sensing is pivotal for a multitude of geoscientific applications, including movements caused by mining, landslides, earthquakes, swelling clays, ground instability, and glacier dynamics. These vectors, derived from technologies such as Interferometric Synthetic Aperture Radar (InSAR), provide crucial data for monitoring terrestrial changes.


Satellite orbiting Earth with solar panels extended against a backdrop of space and Earth's curved horizon, showcasing blue and white hues.

Displacement vectors are essential in quantifying the movement of the Earth’s surface over time. By employing satellite remote sensing, researchers can observe subtle changes that might otherwise go undetected. These vectors, particularly in the context of InSAR, serve as a powerful tool for capturing surface deformation due to natural phenomena and geohazards.


Interferometric Synthetic Aperture Radar (InSAR)

InSAR has become the cornerstone of modern surface displacement monitoring. This technique involves the use of radar signals to detect surface movements by analysing the phase difference between multiple satellite images. The resulting interferograms can unveil displacement vectors with remarkable precision, often down to millimetre-level accuracy. This precision allows geoscientists to conduct detailed analysis of ground stability and assess potential risks in vulnerable regions. For instance, InSAR-derived vectors have been used to monitor urban subsidence in large cities and assess slope movements near critical infrastructure.


Methodologies and Data Interpretation

The process of generating displacement vectors through InSAR involves several critical steps. Initially, radar images are acquired at different times over the same geographic area using the same satellite parameters. These images are then processed to create interferograms, which reveal phase differences indicative of surface movement. By applying advanced algorithms and various InSAR processing steps such as filtering, multilooking, refinement and re-flattening, atmospheric error correction, and phase unwrapping, these phase differences are translated into displacement vectors that illustrate the direction and magnitude of surface deformation.


Displacement Vectors: The Future

As sensor technologies evolve and processing algorithms mature, the potential of InSAR-derived displacement vectors continues to expand. These advancements offer not only a deeper understanding of Earth’s dynamic systems but also practical tools for infrastructure safety, land-use planning, and disaster risk reduction.

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