"Scale Issues in Remote Sensing" by Qihao Weng is a comprehensive guide that explores the challenges and opportunities of remote sensing technology in understanding spatial and temporal phenomena across various scales. The book covers a wide range of topics, including the fundamentals of remote sensing, the principles of scale, and the methods of scaling remote sensing data. It also provides practical examples and case studies to illustrate the concepts discussed.

The book is divided into three sections. The first section provides an introduction to the concepts of scale and the role of remote sensing in scaling. It covers the different types of scales, such as spatial, temporal, and spectral, and how they can be used in remote sensing applications. The section also discusses the issues associated with scale in remote sensing, such as resolution, accuracy, and uncertainty.

The second section focuses on the methods of scaling remote sensing data. It covers techniques such as data fusion, upscaling, and downscaling. It also discusses the challenges and limitations of each technique, as well as their applications in different fields, such as agriculture, ecology, and urban planning.

The final section provides case studies that demonstrate the application of scaling in remote sensing. These case studies cover a range of topics, such as land cover mapping, climate change monitoring, and urban growth analysis. They also demonstrate the use of various scaling techniques and highlight their advantages and limitations.

Overall, "Scale Issues in Remote Sensing" is a valuable resource for anyone interested in remote sensing and its applications across different scales. It provides a comprehensive overview of the principles and methods of scaling remote sensing data, as well as practical examples and case studies. The book is well-written, easy to understand, and is a must-read for anyone looking to explore the potential of remote sensing technology in understanding spatial and temporal phenomena at different scales.