URBAN REMOTE SENSING

This compendium is based on more than ten years of urban remote sensing teaching experience, scientific research achievements, and the latest developments of remote sensing technology.

The volume is divided into ten chapters, which describes the principles of urban remote sensing and multi-source remote sensing big data acquisition, urban remote sensing image processing methods, urban remote sensing image specific applications in related industries, and the prospect of urban remote sensing development. It summarizes the achievements on urban remote sensing projects, uses a large number of algorithm studies as intuitive materials, combines the achievements of urban remote sensing technology, and provides typical industry solutions or case studies in specific applied urban remote sensing areas.

This essential reference textbook benefits undergraduate and graduate students, and anyone keen in urban remote sensing.

Contents:

• Preface
• About the Author
• Urban Spatio-Temporal-Spectral-Angular Observation Model
• Big Data Characteristics of Urban Remote Sensing
• Principles and Methods of Urban Remote Sensing Image interpretation
• Preprocessing Methods of Urban Remote Sensing Imagery
• Classification and Information Extraction Methods for Urban Remote Sensing Imagery
• Urban 3D Reconstruction Methods Based on Multi-source High-Resolution Remote Sensing Imagery
• Change Detection Methods and Applications of Urban Remote Sensing
• Dynamic Monitoring Methods and Applications Through Urban Remote Sensing
• Remote Sensing Monitoring Technology and Practice of Urban Ecological Environment
• Prospects of Urban Remote Sensing Technologies and Applications
• Index

Readership: Researchers, professionals, academics, undergraduate and graduate students in geology, earth studies and earth science.