[A-CG46] Biogeochemical Cycles in Land Ecosystem

[ACG46-09] Global-scale estimation of chlorophyll content derived from GCOM-C/SGLI: Effects of soil moisture and water bodies mixture in a pixel

*Tomoko Kawaguchi Akitsu¹ (1.Japan Aerospace Exploration Agency)

Keywords:Chlorophyll content, GCOM-C/SGLI, Global scale, water bodies mixture, SCOPE2.0

In estimating global-scale vegetation physical quantities, changes in soil moisture that are the background of vegetation and a mixture of water bodies within a satellite pixel significantly impact estimation accuracy. In particular, for a satellite with a moderate resolution of 250–500 m, the presence of water-mixed pixels at the edge of rivers, lakes, seasonal wetlands, etc., cannot be ignored. An independent estimation method from land cover classification maps is desirable since the fraction of water bodies in a pixel may change depending on the season. I and research collaborators have been developing a method to estimate chlorophyll content using GCOM-C/SGLI that is independent of vegetation type and carotenoids, using the inversion of the Soil Canopy Observation of Photosynthesis and Energy fluxes (SCOPE) 2.0 model, which simulates radiative transfer in the soil, leaves and vegetation canopies, as well as photosynthesis. This study simulated the effects of the above factors on chlorophyll content estimation. I will show that the effects of these factors on the estimation were very small (R=0.818 and 0.816 for soil-moisture changes and water mixture).