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Yohei Kinoshita
Yohei Kinoshita
Verified email at risk.tsukuba.ac.jp - Homepage
Title
Cited by
Cited by
Year
Are numerical weather model outputs helpful to reduce tropospheric delay signals in InSAR data?
Y Kinoshita, M Furuya, T Hobiger, R Ichikawa
Journal of Geodesy 87 (3), 267-277, 2013
312013
InSAR observation and numerical modeling of the water vapor signal during a heavy rain: A case study of the 2008 Seino event, central Japan
Y Kinoshita, M Shimada, M Furuya
Geophysical research letters 40 (17), 4740-4744, 2013
302013
On the importance of accurately ray-traced troposphere corrections for Interferometric SAR data
T Hobiger, Y Kinoshita, S Shimizu, R Ichikawa, M Furuya, T Kondo, ...
Journal of Geodesy 84 (9), 537-546, 2010
282010
Quantifying the effect of autonomous adaptation to global river flood projections: application to future flood risk assessments
Y Kinoshita, M Tanoue, S Watanabe, Y Hirabayashi
Environmental Research Letters 13 (1), 014006, 2018
272018
Detections and simulations of tropospheric water vapor fluctuations due to trapped lee waves by ALOS-2/PALSAR-2 ScanSAR interferometry
Y Kinoshita, Y Morishita, Y Hirabayashi
Earth, Planets and Space 69 (1), 1-15, 2017
42017
Localized delay signals detected by synthetic aperture radar interferometry and their simulation by WRF 4DVAR
Y Kinoshita, M Furuya
SOLA 13, 79-84, 2017
22017
Transient small displacement since the end of 2020 at Noto peninsula, Japan, revealed by Sentinel-1 InSAR time series analysis
Y Kinoshita
EGU22, 2022
2022
Progress of developing InSAR atmospheric delay correction model based on GNSS ZTD and Its gradient
Y Kinoshita
AGU Fall Meeting 2021, 2021
2021
Error Evaluation of L-Band InSAR Precipitable Water Vapor Measurements by Comparison with GNSS Observations in Japan
K Matsuzawa, Y Kinoshita
Remote Sensing 13 (23), 4866, 2021
2021
Atmospheric noise mitigation in SAR interferometry: Current state of progress
Y Kinoshita
Proceedings of the 14th SEGJ International Symposium, Tokyo, Japan, 18–21 …, 2021
2021
Developing InSAR atmospheric delay correction model based on GEONET ZTD and its gradient
Y Kinoshita
EGU General Assembly Conference Abstracts, EGU21-8146, 2021
2021
Detecting surface displacement associated with the 2018 slow slip event off Boso peninsula by use of Sentinel-1 InSAR with atmospheric correction
Y Kinoshita, T Nimura, R Furuta
AGU Fall Meeting Abstracts 2019, T43G-0398, 2019
2019
Source estimation of the large seasonal displacement using InSAR time series analysis.
T Nimura, Y Kinoshita, R Furuta
Geophysical Research Abstracts 21, 2019
2019
InSAR atmospheric correction using precipitable water vapor information estimated from Himawari-8 geostationary meteorological satellite
Y Kinoshita, T Nimura, R Furuta
2018
InSAR atmospheric correction using Himawari-8 Geostationary Meteorological Satellite
Y Kinoshita, T Nimura, R Furuta
AGU Fall Meeting Abstracts 2017, G23A-0883, 2017
2017
Dispersive Phase in the L-band InSAR Image Associated with Heavy Rain Episodes
M Furuya, Y Kinoshita
AGU Fall Meeting Abstracts 2017, IN53B-0085, 2017
2017
Examination of InSAR tropospheric delay correction with JRA-55 reanalysis data
Y KINOSHITA, M Furuya
AGU Fall Meeting Abstracts 2015, G21A-1013, 2015
2015
Proposal of global flood vulnerability scenarios for evaluating future potential flood losses
Y Kinoshita, M Tanoue, S Watanabe, Y Hirabayashi
AGU Fall Meeting Abstracts 2015, NH33C-1929, 2015
2015
Data assimilation experiment for reproducing localized delay signals derived from InSAR
Y Kinoshita, M Furuya
AGU Fall Meeting Abstracts 2014, G43A-0501, 2014
2014
InSAR observation and numerical modeling of the water vapor signal during 2008 Seino heavy rain Event, central Japan
Y Kinoshita, M Shimada, M Furuya
Conference Proceedings of 2013 Asia-Pacific Conference on Synthetic Aperture …, 2013
2013
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