日本地球惑星科学連合2018年大会

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[EE] Eveningポスター発表

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

[A-CG36] 衛星による地球環境観測

2018年5月24日(木) 17:15 〜 18:30 ポスター会場 (幕張メッセ国際展示場 7ホール)

コンビーナ:沖 理子(宇宙航空研究開発機構)、本多 嘉明(千葉大学環境リモートセンシング研究センター)、高薮 縁(東京大学 大気海洋研究所、共同)、松永 恒雄(国立環境研究所地球環境研究センター/衛星観測センター)

[ACG36-P27] Development of the LAI and FAPAR product using GCOM-C/SGLI data

*小林 利行1村上 浩1本多 嘉明2小野 祐作小林 秀樹3楊 偉2永井 信3奈佐原 顕郎4宮崎 理紗1堀 雅裕1 (1.国立研究開発法人 宇宙航空研究開発機構、2.国立大学法人 千葉大学、3.国立研究開発法人 海洋研究開発機構、4.国立大学法人 筑波大学)

キーワード:LAI、fAPAR、GCOM-C、MODIS

The Japan Aerospace Exploration Agency (JAXA) launched the Global Change Observation Mission - Climate (GCOM-C) satellite last December. We have been developing one of the GCOM-C standard land products, the Leaf Area Index (LAI) and the fraction of Absorbed Photosynthetically Active Radiation (fAPAR) product. In this document, we introduce the current situation for producing LAI and fAPAR product using SGLI data.

The LAI is defined as one half of the total green leaf area per unit ground surface area. In the GCOM-C product, LAI was estimated for overstory leaf. The information for understory vegetation is added as understory NDVI. The fAPAR is defined as the proportion of the effectively absorbed solar radiation by plants in the photosynthetically active wavelengths (the spectral region from 400 to 700 nm).

LAI and fAPAR were estimated based on the look-up tables showing the relationships between the multi-angle atmospherically-corrected land surface reflectance data and the LAI or fAPAR. The look-up tables were produced for the 6 kinds of land covers and various geometry conditions. They were adjusted to fit with the field-observed reference data collected from literatures.

The relationships between LAI/fAPAR and surface reflectance data at the top of canopy were simulated using a radiative transfer simulator, the Forest Light Environmental Simulator (FLiES) [1]. It simulates radiative transfers in the forests and grasslands based on the Monte Carlo method.

The accuracy of the retrieved LAI and fAPAR will be assessed using the in-situ observation data which will be collected at several sites on global this year. In this research, the MODIS surface reflectance data were used for the satellite data for producing the look-up table. The look-up table is revised to fit with the SGLI data.


[1] H. Kobayashi et al., A coupled 1-D atmosphere and 3-D canopy radiative transfer model for canopy reflectance, light environment, and photosynthesis simulation in a heterogeneous landscape, Remote Sensing of Environment, 112 (2008), 173-185.