The book "Fractal Compression And Analysis On Remotely Sensed Imagery" by Ke Xiao offers a comprehensive examination of the application of fractal geometry for the analysis and compression of remote sensing images. In today's world, where the amount of geographic information obtained through remote sensing is growing exponentially, it is crucial to develop effective methods for storing and processing this data. The work highlights the challenges associated with processing large volumes of data and presents fractals as an innovative solution for the efficient analysis and compression of this information. By applying fractal techniques, not only is the complexity of geographic features better captured, but the efficiency of data processing is also significantly enhanced. This book is aimed at professionals and students engaged in remote sensing, geoinformatics, and data analysis.