NASA NTRS · 20205004726
Hourly GPP Estimation In Australia Using Himawari-8 AHI Products
Abstract
We extended the MODIS 17 algorithm to hourly Gross Primary Product (GPP) estimation for Australia in 2018. AHI 1-km data are available at NASA Earth Exchange (NEX) facility. The high-frequent observation of Advanced Himawari Imager (AHI) enabled us to calculate hourly GPP, which is corresponding to ground observation of carbon flux measured by TERN OzFlux. We interpolated the weather observation data to 1-km grid over Australia ingesting AHI reflectance and radiometric temperature data (NEX-Gridded Hourly Meteorology (NEX-GHM)). Then, we applied MODIS 17 algorithm to each grid with optimized climate regulation functions. The estimation of climate and GPP were well correlated with OzFlux ground observation data.
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Hirofumi Hashimoto, Weile Wang, Andrew Michaelis, Hideaki Takenaka, Atsushi Higuchi, Ramakrishna Nemani. Hourly GPP Estimation In Australia Using Himawari-8 AHI Products. https://ntrs.nasa.gov/citations/20205004726
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