Radar image and data fusion for natural hazards characterisation

Zhong Lu, Daniel Dzurisin, Hyung Sup Jung, Jixian Zhang, Yonghong Zhang

Research output: Contribution to journalArticlepeer-review

41 Scopus citations


Fusion of synthetic aperture radar (SAR) images through interferometric, polarimetric and tomographic processing provides an all - weather imaging capability to characterise and monitor various natural hazards. This article outlines interferometric synthetic aperture radar (InSAR) processing and products and their utility for natural hazards characterisation, provides an overview of the techniques and applications related to fusion of SAR/InSAR images with optical and other images and highlights the emerging SAR fusion technologies. In addition to providing precise land - surface digital elevation maps, SAR - derived imaging products can map millimetre - scale elevation changes driven by volcanic, seismic and hydrogeologic processes, by landslides and wildfires and other natural hazards. With products derived from the fusion of SAR and other images, scientists can monitor the progress of flooding, estimate water storage changes in wetlands for improved hydrological modelling predictions and assessments of future flood impacts and map vegetation structure on a global scale and monitor its changes due to such processes as fire, volcanic eruption and deforestation. With the availability of SAR images in near real - time from multiple satellites in the near future, the fusion of SAR images with other images and data is playing an increasingly important role in understanding and forecasting natural hazards.

Original languageEnglish
Pages (from-to)217-242
Number of pages26
JournalInternational Journal of Image and Data Fusion
Issue number3
StatePublished - Sep 2010


  • Image fusion
  • Interferometric synthetic aperture radar
  • Natural hazards
  • Synthetic aperture radar


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