This book presents a systematic study of urban green space remote sensing from multi-dimensional and multi-scale. On the basis of introducing the connotation, science and application value of urban green space, this book focuses on the two-dimensional and three-dimensional information extraction technology of urban vegetation, two-dimensional and three-dimensional measurement technology of urban green space and multi-scale perception technology, and discusses the remote sensing evaluation method of urban green space. By exploring the technical advantages of “satellite remote sensing + aerial remote sensing + near-ground remote sensing” , urban green space remote sensing promotes the development of urban vegetation research from two-dimensional to three-dimensional observation, so that the quantity, quality and human perception of urban vegetation can be measured. In each chapter, an individual technology/method is introduced, and several cases are cited to demonstrate its practical application. This book offers a valuable reference guide for practitioners in urban planning, landscape greening, environmental protection and urban management, as well as teachers and graduate students engaged in urban remote sensing research.
Author(s): Qingyan Meng
Publisher: Springer
Year: 2023
Language: English
Pages: 253
City: Singapore
Foreword
Acknowledgements
Introduction
Contents
1 Introduction
1.1 The Connotation of Urban Green Space
1.1.1 Concepts from Foreign Researchers
1.1.2 Concepts from Chinese Researchers
1.1.3 The Connotation of Urban Green Space
1.2 Scientific Significance of Urban Green Space Remote Sensing
1.2.1 Research Significance of Urban Green Space Remote Sensing
1.2.2 Application Values of Urban Green Space Remote Sensing
1.3 Difficulties and Solutions of Current Research
References
2 Remote Sensing Data Preprocessing Technology
2.1 Brief Introduction of Experimental Area
2.1.1 Experimental Area in Székesfehérvár, Hungary
2.1.2 Experimental Area in Tianjin, China
2.2 Data Preprocessing Technology
2.2.1 Orthocorrection and Splicing of Multi-spectral Image
2.2.2 Multi-source Remote Sensing Image Registration Technology
2.2.3 Extraction Technology of Ground Object Height Information Based on LiDAR
2.2.4 Classification Technology Based on Street View Data
2.3 Conclusion
References
3 Extraction Technology of Urban Vegetation Information with Remote Sensing
3.1 Extraction Technique of Two-Dimensional Urban Vegetation Information
3.1.1 Research Status
3.1.2 Research Methods
3.1.3 Results of Experiment
3.1.4 Conclusion
3.2 Extraction Technique of Three-Dimensional Structure Parameters of Urban Vegetation Canopy
3.2.1 Research Status
3.2.2 Research Methods
3.2.3 Results of Experiment
3.2.4 Conclusion
References
4 Measurement Technology of Two-Dimensional Urban Green Space
4.1 Research Status
4.2 Research Methods
4.2.1 Urban Green Space Measurement Based on Area Method
4.2.2 Urban Green Space Measurement Based on Grid Method
4.2.3 Urban Green Space Measurement Based on Buffer Method
4.2.4 Urban Green Space Measurement Based on Moving Window
4.3 Results of Experiment
4.3.1 Urban Green Space Measurement Based on Area Method
4.3.2 Urban Green Space Measurement Based on Grid Method
4.3.3 Urban Green Space Measurement Based on Buffer Method
4.3.4 Urban Green Space Measurement Based on Moving Window
4.4 Conclusion
References
5 Measurement Technology of Three-Dimensional Urban Green Space
5.1 Construction of Urban Green Space Measurement Model in Building Scale
5.1.1 Research Status
5.1.2 Research Methods
5.1.3 Results of Experiment
5.1.4 Conclusion
5.2 Construction of Urban Green Space Distribution Measurement Model in Vertical Perspective
5.2.1 Research Status
5.2.2 Research Methods
5.2.3 Results of Experiment
5.2.4 Conclusion
References
6 Construction Technology of Multi-scale Perception Model of Urban Green Space
6.1 Construction of Building-Scale Urban Green Space Perception Model
6.1.1 Research Status
6.1.2 Research Methods
6.1.3 Results of Experiment
6.1.4 Conclusion
6.2 Construction of Floor-Scale Urban Green Space Perception Model
6.2.1 Research Status
6.2.2 Research Methods
6.2.3 Results of Experiment
6.2.4 Conclusion
6.3 Construction of Street-Scale Urban Green Space Perception Model
6.3.1 Research Status
6.3.2 Research Methods
6.3.3 Results of Experiment
6.3.4 Conclusion
References
7 Evaluation Technology of Urban Green Space with Remote Sensing
7.1 Research Status
7.1.1 Research Status of Urban Green Landscape Patterns
7.1.2 Research Status of Comprehensive Evaluation of Ecological Benefits of Urban Green Space
7.2 Research Methods
7.2.1 Urban Object Information Extraction Based on LiDAR and Multi-spectral Data
7.2.2 Analysis of Urban Objects Spatial Characteristics Based on Moving Window
7.2.3 BGEI Model Based on Moving Window
7.3 Results of Experiment
7.3.1 Urban Object Information Extraction Results
7.3.2 Analysis of Urban Objects Spatial Characteristics Based on Moving Window
7.3.3 Urban Building Green Environment Evaluation Result Based on Moving Window
7.4 Conclusion
References
Afterword
