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The long-term goal of the Project is to develop robust inversion algorithms to extract estimates of the optical and physical properties of sea water layers, the sea floor, and the sea surface from LIDAR (Light Detection and Ranging) returns, and optical imagery of the ocean bottom and depths and to improve the quality of images of subsurface objects collected over the sea. OBJECTIVES The project objectives are: 1) to develop new models of water, bottom, and surface returned LIDAR signals and to develop new mathematical inverse techniques to extract from actual or simulated LIDAR returns the inherent optical properties of water (IOP) and to estimate parameters of internal waves (IW) from IW-induced disturbances of IOP stratification; 2) to develop theoretical mathematical techniques and experimental procedures to improve the quality of passive images of the coastal sea floor by correcting distortion due to light refraction through rough sea surfaces; and 3) to develop mathematical techniques for the retrieval of the quantity of optically active materials (chlorophyll, dissolved organic matter, and sediment) from the color spectrum of sea water optical returns. |
