2-3 September 2021
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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Flooding and Oil Spill Disaster Relief using Sentinel of Remote Sensing Satellite Data
Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0101240
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 12, 2019.
Abstract: Flooding and oil spill disaster relief using Sentinel of remote sensing satellite data is conducted. Kyushu, Japan had severe heavy rain from 26 August to 30 August 2019. Optical sensor and Synthetic Aperture Radar: SAR onboard remote sensing satellite is used for disaster relief. NDVI and SWIR data derived from the Sentinel data are used for disaster relief. Merits and demerits of the optical sensor and SAR instrument are compared from the disaster relief of point of view.
Keywords: Sentinel; disaster relief; satellite remote sensing; flooding; oil spill; synthetic aperture radar; optical sensor; vegetation index
Kohei Arai, “Flooding and Oil Spill Disaster Relief using Sentinel of Remote Sensing Satellite Data” International Journal of Advanced Computer Science and Applications(IJACSA), 10(12), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0101240
@article{Arai2019,
title = {Flooding and Oil Spill Disaster Relief using Sentinel of Remote Sensing Satellite Data},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0101240},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0101240},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {12},
author = {Kohei Arai}
}
