Japan Geoscience Union Meeting 2018

Presentation information

[EE] Evening Poster

A (Atmospheric and Hydrospheric Sciences) » A-CG Complex & General

[A-CG36] Satellite Earth Environment Observation

Thu. May 24, 2018 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall7, Makuhari Messe)

convener:Riko Oki(Japan Aerospace Exploration Agency), Yoshiaki HONDA(Center for Environmental Remote Sensing, Chiba University), Yukari Takayabu(東京大学 大気海洋研究所, 共同), Tsuneo Matsunaga(Center for Global Environmental Research and Satellite Observation Center, National Institute for Environmental Studies)

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

*Toshiyuki Kobayashi1, Hiroshi Murakami1, Yoshiaki HONDA2, Yuhsaku Ono, Hideki Kobayashi3, Wei Yang2, Shin Nagai3, Kenlo Nasahara4, Risa Miyazaki1, Masahiro Hori1 (1.Japan Aerospace Exploration Agency, 2.Chiba University, 3.Japan Agency for Marine-Earth Science and Technology, 4.University of Tsukuba )


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.