Tracking diurnal to seasonal variations of gross primary productivity using a geostationary satellite, GK-2A advanced meteorological imager

• DOI: 10.1016/j.rse.2022.113365
• Publication Date: 2022-11-21T22:56:34Z
• Authors: Sungchan Jeong; Youngryel Ryu; Benjamin Dechant; Xing Li; Juwon Kong; Wonseok Choi; Minseok Kang; Jongmin Yeom; Joongbin Lim; Keunchang Jang; Junghwa Chun
• Keywords: Moderate-resolution imaging spectroradiometer; Photosynthetically active radiation; Diurnal cycle; Atmospheric correction

The diurnal sampling capability of geostationary satellites provides unprecedented opportunities for monitoring canopy photosynthesis at multiple temporal scales. At the scale, only can currently provide sub-daily data regular intervals, also it help to minimize gaps due clouds seasonal scale. However, potential has not been explored in depth. In this study, we tracked variations gross primary production (GPP) using product near-infrared reflectance vegetation and photosynthetically active radiation (PAR) (NIRvP) over deciduous forests, mixed forests a rice paddy during growing season. For purpose, generated three levels PAR from Geostationary Korea Multi-Purpose Satellite-2A (GK-2A). We examined how NIRvP derived GK-2A in-situ GPP collected five flux tower sites South Korea. Bi-directional Reflectance Distribution Function (BRDF) normalized agreed well with course season hourly (R2 = 0.68–0.77) daily timesteps 0.71–0.83). Atmospheric correction BRDF normalization improved performance tracking both time Also, showed much higher percentage available high-quality whole all study than Moderate Resolution Imaging Spectroradiometer (MODIS) (GK-2A: 85%; MODIS: 39%), especially cloudy monsoon period. Our findings demonstrated that unique observation characteristics contribute large-scale dynamics.