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Lifestyle Intervention With Smartphone App and isCGM for People at High Risk of Type 2 Diabetes: Randomized Trial.

J Clin Endocrinol Metab
Kitazawa M, Takeda Y, Hatta M, Horikawa C, Sato T, Osawa T, Ishizawa M, Suzuki H, Matsubayashi Y, Fujihara K, Yamada T, Sone H.   +11 more
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High Resolution GSMaP with Himawari 8

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Global Satellite Mapping of Precipitation (GSMaP) is a system to produce global surface precipitation field with 0.1 degree and 1 hour resolution from geostationary infrared imager and microwave radiometer in low earth orbit (Ushio et al. 2019, Mega et al. 2018).
Tomoo Ushio, Tomoaki Mega
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A simplified aerosol retrieval algorithm for Himawari-8 Advanced Himawari Imager over Beijing

Atmospheric Environment, 2019
Abstract High temporal aerosol optical depth (AOD) is useful for inversing modelling of emissions and for comprehensively understanding the climatology of aerosol. Geostationary satellite has been used to derive AOD over land and ocean. In this study, a novel simplified aerosol retrieval algorithm for Advanced Himawari-8 imager (SARAHI) is developed ...
Zhaoyang Zhang, Meng Fan, Weiling Wu, Zifeng Wang, Minghui Tao, Jing Wei, Quan Wang   +6 more
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Evaluation of Himawari-8 for Live Fuel Moisture Content Retrieval

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
Near-real-time monitoring live fuel moisture content (LFMC) from remote sensing is paramount to wildfire early management at a large scale since LFMC is a critical variable in affecting fire ignition and fire spread rate. The geostationary satellite Himawari-8 observes the land surface every 10 minutes, making near-real-time LFMC retrieval achievable ...
Zhu, Ying, Liu, Xiangzhuo, Lai, Gengke, Quan, Xingwen   +3 more
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Spatiotemporal distributions of cloud properties over China based on Himawari-8 advanced Himawari imager data

Atmospheric Research, 2020
Abstract Using the Himawari-8 cloud product, this study investigated the seasonal, monthly, diurnal variations as well as spatial and vertical distributions of cloud properties over four typical regions, which are northwest (NW), north (N), southeast (SE) China and Tibetan Plateau (TP). The results show that the cloud occurs most frequently in spring
Yikun Yang, Chuanfeng Zhao, Hao Fan
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Evaluation of the Himawari-8 Aerosol Products

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
To accurately analyze the spatiotemporal variation of the aerosol in China, the Himawari-8 Level 3 aerosol optical depth (AOD) products were validated by the AERONET (Aerosol Robotic Network) sunphotometer measurements at 9 observation sites in China.
Haining Wei, Weizhen Wang, Feinan Xu, Jiaojiao Feng   +3 more
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The Reprocessing for Himawari-8 Based on Deep Learning

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Wildfires may cause great casualties and heavy wildfires are becoming more and more frequently all over the world in recent years. However, due to the environmental limitation, high manual-dependent operation is often impractical with other limits. In this paper, a transfer learning neural network based on long short term memory (LSTM) was used to ...
Haoyu Zhang, Zezhong Zheng, Mingcang Zhu, Fangrong Zhou, Yong He, Zhongnian Li, Guoqing Zhou, Zhiyong Wang, Mingqi Li, Ling Jiang, Qiang Liu, Xuemei Li   +11 more
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Land Surface Temperature Retrieval from the Infrared Measurements of Advanced Himawari Imager on Himawari-8

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
This work addresses Land Surface Temperature (LST) retrieval from the infrared measurements of Advanced Himawari Imager (AHI) on Himawari-8 satellite using the Generalized Split-Window (GSW) algorithm. First, a radiative transfer modeling experiment is conducted using the moderate spectral resolution atmospheric transmittance algorithm and computer ...
Geng-Ming Jiang, Wen-Xia Li
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Ocean color estimation by Himawari-8/AHI

SPIE Proceedings, 2016
The Japanese Meteorological Agency (JMA) geostational meteorological satellite, Himawari-8, carrying Advanced Himawari Imager (AHI) has been in regular operation since July 7, 2015. Before the AHI, geostational meteorological sensors hardly observed ocean color due to only one broad band in visible wavelengths and relatively large radiometric noise ...
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MTF analysis using lunar observations for Himawari-8/AHI

Earth Observing Systems XXII, 2017
The modulation transfer function, or MTF, is a common measure of image fidelity, which has been historically characterized on-orbit using high contrast images of the lunar limb obtained by remote sensing instruments onboard both low-orbit and geostationary satellites.
Xiaoxiong J. Xiong, Tiejun Chang, Graziela R. Keller   +2 more
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