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Status of Himawari-8/9 and Their Synergy with GCOM Series
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019Himawari-8/9 are newest geostationary meteorological satellites operated Japan Meteorological Agency since 2015. The AHI of Himawari-8/9 is a visible, near-infrared and infrared imager with higher temporal, spatial and spectral resolutions. Imagery and products from Himawari-8/9 AHI have contributed to the operations of JMA and other meteorological and
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Hourly GPP Estimation in Australia Using Himawari-8 AHI Products
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020We extended the MODIS 17 algorithm to hourly Gross Primary Product (GPP) estimation for Australia in 2018. AHI 1-km data are available at NASA Earth Exchange (NEX) facility. The high-frequent observation of Advanced Himawari Imager (AHI) enabled us to calculate hourly GPP, which is corresponding to ground observation of carbon flux measured by TERN ...
Hirofumi Hashimoto +5 more
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Ocean color estimation by Himawari-8/AHI
SPIE Proceedings, 2016The 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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Preliminary Evaluation of Himawari-8 Hourly Aerosol Products Over China
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020In this study, the ground measured Aerosol Optical Depth (AOD) at 500nm at ten sites of the AErosol RObotic NETwork (AERONET) in China were collected to evaluate the AOD retrieved from the observations by the Advanced Himawari Imager (AHI) onboard the Himawari-8 satellite.
Xin Li +4 more
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Detecting Active Fires with Himawari-8 Geostationary Satellite Data
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019We developed an algorithm for active fire detection using the Advanced Himawari Imager (AHI) on the Himawari-8 geostationary satellite. The algorithm is based on a stochastic detection model that aims to minimize a cost function derived from the probability density functions of the fire and background pixels.
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Characterization of Himawari-8 AHI 3.9-um channel stray light
SPIE Proceedings, 2016The Advanced Himawari Imager (AHI) is the primary instrument aboard Himawari-8 and has 16 multispectral channels, including six visible and near infrared and 10 thermal emissive bands. The 3.9-μm channel imagery of AHI has spatial resolution of 2 km and performs routine full-disk imaging every 10 minutes.
Xi Shao, Xiangqian Wu 0001, Fangfang Yu
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Characterization of Himawari-8/AHI to Himawari-9/AHI infrared observations continuity
International Journal of Remote Sensing, 2023Zhi Zhu +3 more
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Monitring of Wildfires for the Transmission Line Based on Himawari-8
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023Hongze Dong +7 more
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Wildfire Detection Based On Himawari-8 Multi-Temporal Data
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023Shuang Yu +10 more
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