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Research Article | Open Access |

Sea Breeze Damage Estimation Method using Sentinel of Remote Sensing Satellite Data

Author 1: Kohei Arai
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 11, No. 2 · Published 2020

DOI: https://doi.org/10.14569/IJACSA.2020.0110206

Abstract

Sea breeze damage estimation method using Sentinel of remote sensing satellite data is proposed. There are two kinds of sea breeze damage. Namely, one is vegetation degradation due to sea salt from sea breeze and the other one is leaf lodging due to strong winds from sea breeze. Kyushu, Japan had severe storm due to the typhoon #17 during from 21 September to 23 September 2019. Optical sensor and Synthetic Aperture Radar: SAR onboard remote sensing satellite are used for disaster relief. NDVI and false colored imagery data derived from the Sentinel-1 and 2 data are used for disaster relief. Through experiments, it is found that sea salt damage on rice paddy fields in particular can be relieved by NDVI and false colored imagery data while rice lodging can also be relieved by SAR data.

Keywords

How to Cite this Article

Arai, K. (2020). Sea Breeze Damage Estimation Method using Sentinel of Remote Sensing Satellite Data. International Journal of Advanced Computer Science and Applications, 11(2). https://doi.org/10.14569/IJACSA.2020.0110206

Arai, Kohei. "Sea Breeze Damage Estimation Method using Sentinel of Remote Sensing Satellite Data." International Journal of Advanced Computer Science and Applications, vol. 11, no. 2, 2020, https://doi.org/10.14569/IJACSA.2020.0110206.

@article{Arai2020,
  title     = {Sea Breeze Damage Estimation Method using Sentinel of Remote Sensing Satellite Data},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {11},
  number    = {2},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJACSA.2020.0110206},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110206}
}

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