日本地球惑星科学連合2023年大会

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[E] 口頭発表

セッション記号 A (大気水圏科学) » A-CG 大気海洋・環境科学複合領域・一般

[A-CG36] 静止軌道衛星による陸面観測

2023年5月24日(水) 13:45 〜 15:15 104 (幕張メッセ国際会議場)

コンビーナ:山本 雄平(千葉大学 環境リモートセンシング研究センター)、Tomoaki Miura(Univ Hawaii)、市井 和仁(千葉大学)、Chairperson:Tomoaki Miura(Univ Hawaii)

14:45 〜 15:00

[ACG36-05] Performance study of generic atmospheric correction for Himawari-8 AHI reflective solar bands data using satellite-based aerosol products and ground-based sunphotometer data

*山本 浩万1入江 仁士2 (1.産業技術総合研究所、2.千葉大学)

キーワード:ひまわり8号AHI、大気補正、SKYNET、エアロゾルプロダクト

Japanese geostationary weather satellite, the Himawari-8 satellite was developed by the Japan Meteorological Agency (JMA) and launched on October 7, 2014, which has a multispectral sensor, Advanced Himawari Imager (AHI), and AHI can observe earth surface from the visible and near infrared (VNIR) to thermal infrared (TIR) region. The spatial resolution of AHI sensor is 0.5 km to 2 km, and it can observe the hemisphere at a high frequency every 10 minutes. Center for Environmental Remote Sensing (CEReS), Chiba University provides full-disk radiance data, which were precisely geo-rectified and resampled on a linear latitude-longitude grid.
Recent phenology studies using Himawari-8 AHI NDVI data conclude that HImawari-8 AHI data have the potential to help to better understand phenology characterisation for vegetation monitoring.
On the other hand, ground surface reflectance is key parameter for estimating higher accurate biophysical parameters, which can be derived from L1 products by atmospheric correction algorithm
General algorithm consists of Rayleigh scattering, absorption by atmospheric gases, and aerosol effects. Especially, removal of the aerosol effects is difficult because of spatial variability, time variation, and so on..
Geostationary satellite sensors can observe earth surface with a high temporal frequency. Avoiding any potential cloud contamination in the aerosol retrieval. Himawari-8 AHI aerosol products are very useful for atmospheric correction of AHI L1 products themself on vegetation monitoring.
There are four kinds of Himawari-8 AHI aerosol products, which include 10min product L2ARP, L3ARP hourly, L3ARP daily, and L3ARP monthly. These products have been distributed by JAXA EORC P-Tree system.
We have three sites for measuring atmospheric parameters on the ground, Tsukuba city (TGF), Takayama (TKY), and Fujiyoshida (FHK). The instruments, Skyradiometer POM02 are installed to measure the atmospheric parameters over three sites, and we are conducting more than 10 years observations. POM02 inter-comparison with a master instrument is conducted on Dec every year. Master instrument is always calibrated using Langley method at Mt. Mauna Loa. We transfer data obtained by this instrument to SKYNET, which is the observation network of data measured by sky radiometer and radiation instrument for aerosol-cloud researches. SKYNET products are retrieved by using SKYRAD.PACK software package, and cloud screening is conducted.
The aim of this research is to evaluate the performance of generic atmospheric correction algorithm in case of using Himawari-8 AHI aerosol products and SKYNET data.