Digital Analysis of Remotely Sensed Imagery considerably advances our knowledge on remote sensing image analysis. This 736-page publication is based mostly on lecture material, in conjunction with findings of his own research projects.

Dr Jay Gao provides a comprehensive and authoritative coverage of the various topics in image analysis. The author approached the topic from the geographic perspective by addressing how images should be properly processed and analyzed to conform to the geometric accuracy standards in mapping science, from which vital information regarding natural resources and the environment is derived to support decision-making. In addition, this publication has drastically expanded our knowledge of how to extract information from satellite imagery accurately in the digital environment in light of emerging satellite imagery, better computer algorithms, and powerful software packages.

The book incorporates the most recent advances in sensing technology and innovative analytical methods. More importantly, it identifies the most recent trends in image analysis, and points out the direction of future development in this constantly evolving field, given the emergence of non-imaging LiDAR data, global positioning systems, and the ever increasing applications of geographic information systems.

Gao J (2010). Digital Analysis of Remotely Sensed Imagery. McGraw-Hill Professional, New York.