Detection of Flooding Agricultural Field by Typhoon Hagibis on 2019 Using Sar Imagery

Chinatsu Yonezawa, Manabu Watanabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Damage detection due to Typhoon Hagibis was attempted on an agricultural field in Miyagi Prefecture, Japan, using Synthetic Aperture Rada (SAR) data. Sentinel-l data obtained immediately following the heavy rainfall was analyzed. Additionally, the possibility for damage detection by ALOS-2 PALSAR-2 data obtained four days after the rainfall was examined. Image composition of Sentinel-l data obtained directly after the rainfall and the flooding time during paddy rice transplanting is effective in detecting heavily flooded areas caused by dike breach. Flooding because of heavy rain causes a decrease in the backscattering coefficient in both the inside of the field and footpath between the fields. Pixel spacing of PALSAR-2 strip map mode data was 2.5 m and showed the disturbed pattern of the paddy fields caused by the receding floodwater.

Original languageEnglish
Title of host publication2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6863-6866
Number of pages4
ISBN (Electronic)9781728163741
DOIs
Publication statusPublished - 2020 Sep 26
Event2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Virtual, Waikoloa, United States
Duration: 2020 Sep 262020 Oct 2

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
CountryUnited States
CityVirtual, Waikoloa
Period20/9/2620/10/2

Keywords

  • ALOS-2 PALSAR-2
  • disaster
  • Sentinel-1
  • Synthetic Aperture Radar

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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