[A-CG44] Terrestrial monitoring using geostationary satellites

[ACG44-01] An Open Dataset for Hypertemporal Land Surface Monitoring via Geostationary Meteorological Satellites and Its Applications

*Kazuhito Ichii¹, Yuhei Yamamoto¹, Wei Li¹, Beichen Zhang¹, Shogo Sumii¹, Tatsuya Hirama¹, Wei Yang¹ (1.Chiba University)

Keywords:Geostationary Meteorological Satellite, Himawari-8/9, Land Surface, Vegetation

The third-generation geostationary meteorological satellites, such as Himawari-8/9, have functional improvements over previous geostationary meteorological satellites, and are useful for land surface monitoring. We are working on land surface monitoring using geostationary satellite data, mainly Himawari-8/9 satellites, and are developing basic products such as land surface reflectance and land surface temperature, as well as application products such as leaf area index, evapotranspiration, and gross primry productivities. In this presentation, we will introduce the datasets that our group has constructed so far and examples of application analysis. First, regarding the surface reflectance including BRDF-corrected one, we developed publicly available dataset that have been corrected for atmospheric effects based on 6SV (Li et al. 2025) with angle-dependent correction using a kernel used in Terra/MODIS (Li et al. in preparation). Development of land surface temperature and cloud cover (cloud mask) are performed using methods based on Yamamoto et al. (2018, 2022). These datasets are organized with 6 deg x 6 deg tiles throughout the Himawari observation area and freely available to users. In addition, LAI, ET, and GPP are currently in the algorithm development stage and are scheduled to be released in the near future. These data sets have various applications, including vegetation environment monitoring, urban environment monitoring, agricultural crop monitoring, and early detection of abnormal growth, and some applications will be introduced in the presentation.