Correcting Bidirectional Effects in Remote Sensing Reflectance from Coastal Waters

Yongzhen Fan1, Knut H Stamnes2, Wei Li2, Kenneth J Voss3 and Charles K Gatebe4, (1)Stevens Institute of Technology, Hoboken, NJ, United States, (2)Stevens Institute of Tech, Hoboken, NJ, United States, (3)University of Miami, Miami, FL, United States, (4)Universities Space Research Association Greenbelt, Greenbelt, MD, United States
Understanding bidirectional effects including sunglint is important for GEO-CAPE for several reasons: (i) correct interpretation of ocean color data; (ii) comparing consistency of spectral radiance data derived from space observations with a single instrument for a variety of illumination and viewing conditions; (iii) merging data collected by different instruments operating simultaneously. We present a new neural network (NN) method to correct bidirectional effects in water-leaving radiance for both Case 1 and Case 2 waters. We also discuss a new BRDF and 2D sun-glint model that was validated by comparing simulated surface reflectances with Cloud Absorption Radiometer (CAR) data. Finally, we present an extension of our marine bio-optical model to the UV range that accounts for the seasonal dependence of the inherent optical properties (IOPs).