Hong Chen, K. Sebastian Schmidt, Steven T. Massie, Vikas Nataraja, Matthew S. Norgren, Jake J. Gristey, Graham Feingold, Robert E. Holz, Hironobu Iwabuchi. The Education and Research 3D Radiative Transfer Toolbox (EaR(3)T) - towards the mitigation of 3D bias in airborne and spaceborne passive imagery cloud retrievals. ATMOSPHERIC MEASUREMENT TECHNIQUES. 2023. 16. 7. 1971-2000
Xinyue Wang, Hironobu Iwabuchi, Jean-Baptiste Courbot. Analysis of Diurnal Evolution of Cloud Properties and Convection Tracking over the South China Coastal Area. REMOTE SENSING. 2022. 14. 19
Vikas Nataraja, Sebastian Schmidt, Hong Chen, Takanobu Yamaguchi, Jan Kazil, Graham Feingold, Kevin Wolf, Hironobu Iwabuchi. Segmentation-based multi-pixel cloud optical thickness retrieval using a convolutional neural network. ATMOSPHERIC MEASUREMENT TECHNIQUES. 2022. 15. 17. 5181-5205
Xinyue Wang, Hironobu Iwabuchi, Takaya Yamashita. Cloud identification and property retrieval from Himawari-8 infrared measurements via a deep neural network. REMOTE SENSING OF ENVIRONMENT. 2022. 275
Takaya Yamashita, Hironobu Iwabuchi. Diurnal variations of different types of cloud over the Baiu-Meiyu frontal zone using retrieved cloud properties: Implication for the rainfall process. ATMOSPHERIC RESEARCH. 2022. 271
Development of an algorithm for three-dimensional cloud from multispectral and multidirectional measurement by SGLI and validation of cloud products
(The Joint Meeting of JAXA Earth Observation Missions FY2022 2022)
Delving deeper into the spatiotemporal features of cloud and meteorological state imprinted on geostationary satellite images
(International Radiation Symposium 2022)
Cloud inhomogeneity and three-dimensional radiative transfer effects evaluated by a deep convolutional neural network
(International Radiation Symposium 2022)
Remote sensing of three-dimensional clouds using multispectral measurements by SGLI
(The Joint PI Meeting of JAXA Earth Observation Mission 2022)
Estimation of cloud and meteorological state from satellite image by deep neural network
(JpGU Annual Meeting 2021)