Next Article in Journal
Seasonal Adaptation of the Thermal-Based Two-Source Energy Balance Model for Estimating Evapotranspiration in a Semiarid Tree-Grass Ecosystem
Next Article in Special Issue
Automated Processing for Flood Area Detection Using ALOS-2 and Hydrodynamic Simulation Data
Previous Article in Journal
Can MERRA-2 Reanalysis Data Reproduce the Three-Dimensional Evolution Characteristics of a Typical Dust Process in East Asia? A Case Study of the Dust Event in May 2017
Previous Article in Special Issue
High-Resolution Inundation Mapping for Heterogeneous Land Covers with Synthetic Aperture Radar and Terrain Data
Open AccessLetter

Synthetic Aperture Radar Flood Detection under Multiple Modes and Multiple Orbit Conditions: A Case Study in Japan on Typhoon Hagibis, 2019

by 1,2,* and 3
1
Department of Electrical Engineering and Information Systems, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
2
Microwaves and Radar Institute, German Aerospace Center (DLR), Oberpfaffenhofen, Münchner Straße 20, 82234 Weßling, Germany
3
Department of Earth Science, Shool of Education, Faculty of Education and Integrated Arts and Sciences, Waseda University, 1-6-1 Nishiwaseda, Shinjuku-ku, Tokyo 169-0051, Japan
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(6), 903; https://doi.org/10.3390/rs12060903
Received: 2 February 2020 / Revised: 2 March 2020 / Accepted: 9 March 2020 / Published: 11 March 2020
(This article belongs to the Special Issue Flood Mapping in Urban and Vegetated Areas)
Flood detection using a spaceborne synthetic aperture radar (SAR) has become a powerful tool for organizing disaster responses. The detection accuracy is increased by accumulating pre-event observations, whereas applying multiple observation modes results in an inadequate number of observations with the same mode from the same orbit. Recent flood detection studies take advantage of the large number of pre-event observations taken from an identical orbit and observation mode. On the other hand, those studies do not take account of the use of multiple orbits and modes. In this study, we examined how the analysis results suffered when pre-event observations were only taken from a different orbit or mode to that of the post-event observation. Experimental results showed that inundation areas were overlooked under such non-ideal conditions. On the other hand, the detection accuracy could be recovered by combining analysis results from possible alternate datasets and became compatible with ideal cases. View Full-Text
Keywords: flood mapping; synthetic aperture radar (SAR); InSAR coherence; ALOS-2; PALSAR-2 flood mapping; synthetic aperture radar (SAR); InSAR coherence; ALOS-2; PALSAR-2
Show Figures

Graphical abstract

MDPI and ACS Style

Natsuaki, R.; Nagai, H. Synthetic Aperture Radar Flood Detection under Multiple Modes and Multiple Orbit Conditions: A Case Study in Japan on Typhoon Hagibis, 2019. Remote Sens. 2020, 12, 903. https://doi.org/10.3390/rs12060903

AMA Style

Natsuaki R, Nagai H. Synthetic Aperture Radar Flood Detection under Multiple Modes and Multiple Orbit Conditions: A Case Study in Japan on Typhoon Hagibis, 2019. Remote Sensing. 2020; 12(6):903. https://doi.org/10.3390/rs12060903

Chicago/Turabian Style

Natsuaki, Ryo; Nagai, Hiroto. 2020. "Synthetic Aperture Radar Flood Detection under Multiple Modes and Multiple Orbit Conditions: A Case Study in Japan on Typhoon Hagibis, 2019" Remote Sens. 12, no. 6: 903. https://doi.org/10.3390/rs12060903

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop