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The data obtained from the Advance Very High Resolution Radiometer (AVHRR) sensors on board the NOAA satellites can be used to derive sea surface temperaure, percent water reflectance, and relative mixed layer depth. An AVHRR sensor can cover an area as large as the Gulf of Mexico. For each satellite, the same area is captured about every 12 hours. Despite the sensor's broad spatial coverage at good sampling rate, the AVHRR-data are seldom used to investigate daily variability of satellite-derived parameters for an extensive time period because the sensors are sensitive to clouds.
Movies of cloud-free daily water reflectance over Florida Bay were developed as a framework to further exploit the AVHRR data. Each pixel in the movies was interpolated from non cloud-contaminated AVHRR-derived water reflectance pixels. The interpolation technique used is evolved from the Gauss Markoff theorem (Liebelt 1967). The estimate is influenced by the surrounding AVHRR-derived pixels. The weigths of influence depends on the spatial and temporal scales, and phase speeds of the chosen parameter input by the user. The interpolation software, "Objective Analysis Package", was developed by Dr. A.J. Mariano at RSMAS, University of Miami. The USGS receives raw AVHRR telemetry data from the University of South Florida.
Each interpolated frame was saved as a TIFF formated file. Image Magick was used to split a TIFF file into YUV files. YUV files are files that contain lumminance, chrominance, and hue information. Vector representations have also been added to show changing wind speed and direction over time. An MPEG encoder was then used to merge all of the YUV files into a movie.