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) 15:30 〜 16:45 104 (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)、座長: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)

16:30 〜 16:45

[ACG36-11] Retrievals of LAI and FPAR from Himawari-8/9 Observations at Diurnal and Sub-diurnal time-
scales and Operational Mapping in Asia-Pacific Region

*Ram Sharma1Tatsuki Hashimoto1Yuhei Yamamoto1Wei Yang1Wei Li1Beichen Zhang1Kazuhito Ichii1 (1.Center for Environmental Remote Sensing (CEReS), Chiba University, Japan)

キーワード:Ecosystems, LAI, FPAR, Geo-stationary satellites, Algorithms, Geo-spatial products

Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) are structural
and functional parameters of vegetation canopy respectively. The LAI and FPAR are important
biogeophysical parameters for better understanding of terrestrial ecological, hydrological, and
biogeochemical processes. The availability of hyper-temporal (e.g. 10 minutes) spectral
observations from geo-stationary (GEO) satellites in the recent years such as Himawari-8/9 has
brought new possibilities for sub-diurnal estimates of land surface biogeophysical parameters
such as LAI and FPAR. Retrieval and operational mapping of LAI and FPAR at diurnal and sub-
diurnal time-scales respectively has been expected for lessening the uncertainties associated
with the validation of several terrestrial ecosystem models including Light Use Efficiency (LUE)
based predictions of Gross Primary Productivity (GPP). We will present algorithms developed
for the retrievals of LAI and FPAR parameters from Himawari-8/9 Advanced Himawari Imager
(AHI), and processing workflows deployed for the operational mapping of LAI and FPAR in the
Asia-Pacific region. In addition, we will also present evaluation of the resulting LAI and FPAR
products with extant products offered by Low Earth Orbit (LEO) satellites such as GCOM-C,
MODIS, VIIRS, and MISR; as well as validation with field measurements data in a number of
sites. Our expectation is to deliver the Geographic Information System (GIS) friendly and
reliable datasets of LAI and FPAR at diurnal and sub-diurnal time-scales respectively to the
public freely via our FTP site.