Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us
Research Article | Open Access |

Disaster Relief with Satellite based Synthetic Aperture Radar: SAR

Author 1: Shogo Kajiki Author 2: Hiroshi Okumura Author 3: Kohei Arai
International Journal of Advanced Computer Science and Applications (IJACSA) · Published 2018

DOI: 10.14569/SpecialIssue.2018.0901146

Download PDF Cite

Abstract

Disaster relief with satellite bases Synthetic Aperture Radar (SAR) is conducted. SAR can be used for disaster relief. Interferometric SAR (IN-SAR) allows elevation estimation. Therefore, it is applicable to estimate seismic changes, elevation changes due to earthquake, land slide, slope collapse, etc. Experiments are conducted for the earthquake disaster which occurs in Kumamoto, Japan and for the river flooding due to typhoon heavy rain which occurs in Oita, Japan. Sentinel-1 of SAR imagery data shows an enormous potential of disaster relief.

Keywords

Synthetic Aperture Radar (SAR) interferometry disaster relief earthquake water flooding

How to Cite this Article

Kajiki, S., Okumura, H., & Arai, K. (2018). Disaster Relief with Satellite based Synthetic Aperture Radar: SAR. International Journal of Advanced Computer Science and Applications, 9(1). https://doi.org/10.14569/SpecialIssue.2018.0901146

Kajiki, Shogo, et al.. "Disaster Relief with Satellite based Synthetic Aperture Radar: SAR." International Journal of Advanced Computer Science and Applications, vol. 9, no. 1, 2018, https://doi.org/10.14569/SpecialIssue.2018.0901146.

@article{Kajiki2018,
  title     = {Disaster Relief with Satellite based Synthetic Aperture Radar: SAR},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {1},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Shogo Kajiki and Hiroshi Okumura and Kohei Arai},
  doi       = {10.14569/SpecialIssue.2018.0901146},
  url       = {https://doi.org/10.14569/SpecialIssue.2018.0901146}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Back to Issue