Новые методы сжатия временных рядов экологических показателей
The paper analyzes storage peculiarities of satellite Earth remote sensing data time
series. We propose methods for their compression based on the discovered peculiarities exploiting
different schemes of Huffman coding. One of the proposed methods reaches 6% increase in the
compression ratio (93%) in contrast to the deflate method used in Java SE6 (87%), for a time
series of aerosol optical thickness derived from MODIS radiometer of TERRA satellite. Further
improvement can be achieved by using the entropy coding of floating point numbers.