A New Prompt Algorithm for Removing the Bowtie Effect of Modis L1b Data
نویسنده
چکیده
A new algorithm for removing Bowtie Effect of Moderate resolution Imaging Spectrometer (MODIS) data without utilizing the ephemeris data is proposed in this paper. Based on a thoroughly study of the observation characteristics of MODIS, and a comprehensive comparison and evaluation among the existing algorithms for removing Bowtie Effect, the new algorithm is derived with correlation coefficient method from the disciplinarian exhibited by the experiments in China, United States and Australia (mainly with MODIS data of 500 meters resolution), it turned out a second order polynomial describes the disciplinarian well. The results demonstrate that, without ephemeris data, the new algorithm is able to eliminate the Bowtie effect of MODIS L1B data effectively with no information lost.
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