By the end of 1993 the Federal Ministries of Transport and Defence put a second generation maritime surveillance system into service for long-term operation in the North Sea and the Baltic Sea. The system consists of a DO 228-212 aircraft and of a side-looking airborne radar, a microwave radiometer, a UV/IR line scanner, and a laser fluorosensor. The main purpose of the laser fluorosensor is the detection and classification of oil spills on the sea surface. In addition, dissolved organic matter and phytoplankton pigments can be investigated while the aircraft is performing long-range surveillance flights. The hydrographic data are analyzed by geostatistical algorithms, which exploit the spatial correlation of the data to estimate the 2D distribution and the prediction variance of the examined property. As an additional information about the reliability of the results, the prediction variance is accessible. In this way, a detailed illustration of hydrographic conditions in coastal waters can be achieved. In this article, we discuss problems that arise if the condition of statistical uniformity is not met by the data. A possible way to handle these data is demonstrated on a data set measured in the North Sea.
Geostatistical interpretation of oceanographic laser fluorosensor data
Remote Sensing of Vegetation and Water, and Standardization of Remote Sensing Methods ; 1997 ; Munich,Germany
Proc. SPIE ; 3107
1997-05-23
Conference paper
Electronic Resource
English
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