Abstract
High resolution level in satellite imagery came with its fundamental problem as big amount of telemetry data which is to be stored after the downlink operation. Moreover, later the post-processing and image enhancement steps after the image is acquired, the file sizes increase even more and then it gets a lot harder to store and consume much more time to transmit the data from one source to another; hence, it should be taken into account that to save even more space with file compression of the raw and various levels of processed data is a necessity for archiving stations to save more space. Lossless data compression algorithms that will be examined in this study aim to provide compression without any loss of data holding spectral information. Within this objective, well-known open source programs supporting related compression algorithms have been implemented on processed GeoTIFF images of Airbus Defence & Spaces SPOT 6 & 7 satellites having 1.5 
Highlights
Remote sensing has been an essential approach for the Earth observation from the beginning of space age
One main part of remote sensing is that every image sensed by high resolution sensors occupies hundreds or thousands of megabytes in storage when it is in main processing level which is described as raw data
The deflate is an algorithm based on Lempel-Ziv 1977 (LZ77) and Huffman code combination that tries to locate duplicate strings from the input information which are the repetition of the sequences, replaces all the secondary situations where the characters exists by a pointer to retrieve previous information in archive
Summary
Remote sensing has been an essential approach for the Earth observation from the beginning of space age. When we consider the amount of image acquired by remote sensing satellites each day and going further with downlinking the acquired satellite data to ground station in near-realtime, this amount is sure to be grown up to terabytes and petabyte (1015 Bytes) scale in short time interval when hundreds of individual image is recorded over a single day. This may lead to insufficient storage area for ground receiving stations operating with these high resolution earth observation satellites after short period of time
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