@inproceedings{72679a7916454c53a614e17ac483259d,
title = "Detection of Flooding Agricultural Field by Typhoon Hagibis on 2019 Using Sar Imagery",
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.",
keywords = "ALOS-2 PALSAR-2, disaster, Sentinel-1, Synthetic Aperture Radar",
author = "Chinatsu Yonezawa and Manabu Watanabe",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 ; Conference date: 26-09-2020 Through 02-10-2020",
year = "2020",
month = sep,
day = "26",
doi = "10.1109/IGARSS39084.2020.9324246",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6863--6866",
booktitle = "2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings",
address = "United States",
}