[A-CG44] Terrestrial monitoring using geostationary satellites

[ACG44-06] Development of a rice crop calendar estimation algorithm from Himawari satellite imagery

*Kazuya Nishina¹, Xin Zhao¹, Mio Matsumoto², Yuhei Yamamoto³, Kazuhito Ichii³ (1.National Institute for Environmental Studies, 2.University of Tsukuba, 3.Chiba University)

Keywords:Himawari-8, Rice crop calendar

Rice paddies are a major crop in East Asia, and are also known to be a major source of anthropogenic CH4 emissions. Therefore, knowing the management and planting period of rice paddies over a wide area is important not only for predicting rice yields, but also for accurately determining the balance of CH4 emissions. The authors have previously estimated the rice crop calendar in monsoon Asia using Sentinel optical satellite images and SAR (Zhao et al., 2024). On the other hand, due to the constraints of the number of days of the season, it was difficult to accurately estimate the transplanting and harvesting dates, and there was a problem that a certain amount of uncertainty remained. In this study, we aimed to develop an algorithm to reduce the uncertainty of the crop calendar derived from the number of days of the season by using the Himawari geostationary satellite, which has a high temporal resolution. We attempted to estimate the rice crop calendar from the time series analysis of EVI2. We also evaluated the applicability of the algorithm over a wide area by analyzing the relationship between the paddy field occupancy rate in each grid and EVI2.