Estimation of Leaf Area Index and its Sunlit Portion from DSCOVR EPIC data

The NASA's Earth Polychromatic Imaging Camera (EPIC) onboard NOAA's Deep Space Climate Observatory (DSCOVR) mission was launched on February 11, 2015 to the Sun-Earth Lagrangian L1 point where it began to collect radiance data of the entire sunlit Earth at 16 km resolution (in equatorial zone) every 65 to 110 min in June 2015. It provides imageries in near backscattering directions with the scattering angle between 168o and 176o at ten UV to Near-IR narrow spectral bands centered at 317.5 (band width 1.0) nm, 325.0 (1.0) nm, 340.0 (3.0) nm, 388.0 (3.0) nm, 433.0 (3.0) nm, 551.0 (3.0) nm, 680.0 (1.7) nm, 687.8 (0.6) nm, 764.0 (1.7) nm and 779.5 (2.0) nm. This poster presents the theoretical basis of the algorithm designed for the generation of leaf area index (LAI) and diurnal course of sunlit leaf area index (SLAI) from EPIC Bidirectional Reflectance Factor of vegetated land. LAI and SLAI are defined as the total hemi-surface and sunlit leaf semi-surface per unit ground area. Whereas LAI is a standard product of many satellite the SLAI is a new satellite-derived parameter. Sunlit and shaded leaves exhibit different radiative response to incident Photosynthetically Active Radiation (400-700 nm), which in turn triggers various physiological and physical processes required for the functioning of plants. Leaf area and its sunlit portion are key state parameters in most ecosystem productivity and carbon/nitrogen cycle. Status of the EPIC LAI/SLAI product and its validation strategy are also discussed in this poster.