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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, 267-277, 2013
412013
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
392018
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, 537-546, 2010
332010
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
322013
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, 1-15, 2017
52017
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
42021
Localized delay signals detected by synthetic aperture radar interferometry and their simulation by WRF 4DVAR
Y Kinoshita, M Furuya
SOLA 13, 79-84, 2017
42017
Development of InSAR neutral atmospheric delay correction model by use of GNSS ZTD and its horizontal gradient
Y Kinoshita
IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022
32022
Slow slip event displacement on 2018 offshore Boso Peninsula detected by Sentinel-1 InSAR time-series analysis with numerical weather model assistance
Y Kinoshita, R Furuta
Geophysical Journal International 237 (1), 75-89, 2024
2024
Assessing the performance of a hybrid InSAR atmospheric delay model combined with GNSS and ERA5 global atmospheric model
Y Kinoshita
AGU23, 2023
2023
Landslide detection by deep learning based semantic segmentation using Sentinel-1 intensity images
K Ito, Y Kinoshita
2023
Incorporating global atmospheric model products into the InSAR atmospheric delay model based on GNSS observations
Y Kinoshita
AGU Fall Meeting Abstracts 2022, G41A-05, 2022
2022
Transient small displacement since the end of 2020 at Noto peninsula, Japan, revealed by Sentinel-1 InSAR time series analysis
Y Kinoshita
EGU General Assembly Conference Abstracts, EGU22-7145, 2022
2022
Progress of developing InSAR atmospheric delay correction model based on GNSS ZTD and Its gradient
Y Kinoshita
AGU Fall Meeting Abstracts 2021, G45A-0386, 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
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