Results 121 to 130 of about 7,266,078 (163)

Multi-Frame Image Processing of Himawari-8/AHI Data

TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, AEROSPACE TECHNOLOGY JAPAN, 2018
SUGIMURA, Toshiro, UCHIDA, Yuuki, AOYAMA, Sadayoshi, ASAKA, Tomohito, IWASHITA, Keishi   +4 more
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Himawari-8 Atmospheric Motion Vectors - Operational Generation and Assimilation

Journal of Southern Hemisphere Earth System Science, 2017
John Le Marshall, David Howard, Yi Xiao, Jamie Daniels, Steve Wanzong, Jim Jung, Wayne Bresky, Andrew Bailey, Chris Tingwell, Tan Le, Denis Margetic   +10 more
openaire   +1 more source

Improvement of snow detection product from Himawari-8 and the validation

Improvement of snow detection product from Himawari-8 and the validation
The Ninth Symposium on Polar Science/Ordinary sessions: [OM] Polar meteorology and glaciology, Wed. 5 Dec.
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Method of quantitative rainfall estimation based on Himawari-8/9 measurements

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
A. I. Andreev, A. A. Filey, S. I. Malkovsky, S. P. Korolev   +3 more
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Landslide Detection with Himawari-8 Geostationary Satellite

Landslide Detection with Himawari-8 Geostationary Satellite
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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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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 0007, Zhongnian Li, Guoqing Zhou 0001, Zhiyong Wang, Mingqi Li, Ling Jiang, Qiang Liu 0009, Xuemei Li   +11 more
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First Provisional Land Surface Reflectance Product from Geostationary Satellite Himawari-8 AHI [PDF]

Remote Sensing, 2019
A provisional surface reflectance (SR) product from the Advanced Himawari Imager (AHI) on-board the new generation geostationary satellite (Himawari-8) covering the period between July 2015 and December 2018 is made available to the scientific community.
Hirofumi Hashimoto, Lexiang Qian, Kazuhito Ichii   +2 more
exaly   +4 more sources

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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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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