[A-CG37] Biogeochemical Cycles in Land Ecosystem

[ACG37-03] Seasonal variation in vegetation activities across Southeast Asia observed by Himawari-8 AHI

*Misaki Hase¹, Kazuhito Ichii¹, Yuhei Yamamoto¹, Wei Li¹, Beichen Zhang¹ (1.Chiba University)

Keywords:Southeast asia, Himawari-8, NDVI

Seasonal changes in vegetation activity and their driving environmental factors over Southeast Asia remain unclear. One of the reasons for this is the heavy cloud cover, which limits land surface observations from space. Conventional polar-orbiting satellites have difficulty in monitoring below the seasonal scale due to their low observation frequency. In contrast, the Advanced Himawari Imager (AHI) onboard the Geostationary Earth Orbit satellite Himawari-8 has an observation frequency of 10 minutes and is expected to improve the acquisition frequency of clear-sky scenes. Furthermore, satellite-based solar induced fluorescence (SIF) can be an alternative observation. The purpose of this study is to capture the seasonal changes in vegetation activities using Himawari-8 and to evaluate the environmental factors that drive their seasonal changes. Furthermore, we compared differences between Himawari-8-based and the Tropospheric Monitoring Instrument (TROPOMI)-SIF-based analyses. First, to demonstrate effectiveness of AHI, we compared among AHI and MOD-/ MYD-09GA products from Moderate Resolution Imaging Spectroradiometer (MODIS). Normalized Difference Vegetation Index (NDVI) were calculated using surface reflectance datasets. Each NDVI was composited for 16-day using cloud-free observations. Furthermore, 16-day composited NDVI was compared with SIF from TROPOMI. The analysis at specific sites (AsiaFlux sites) suggested that AHI has over 50 times higher acquisition of clear sky scene than MODIS. This greatly reduced the missing values in the MODIS-NDVI, and AHI-NDVI correlated much better with SIF than MODIS-NDVI at each site. This indicates that AHI can capture seasonal changes in more detail than MODIS. In spatial analysis, the amplitude of AHI-NDVI showed good agreement with landcover. Also, the result of comparison between AHI-NDVI and climate variables showed that soil moisture had impact on seasonal change in cropland, temperature and solar radiation had impact on tropical evergreen forest. Furthermore, temperature tended to have more impact on it over low altitude areas, and solar radiation tended to have impact on it over high altitude areas.