Remote Sensing of Urban Green Space

2023. Auflage 2023
ISBN: 978-981-19-5692-8
Verlag: Springer Nature Singapore

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Springer Remote Sensing/Photogrammetry

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.

Autoren/Hrsg.

Meng, Qingyan

Fachgebiete

• Geowissenschaften Geographie | Raumplanung Regional- & Raumplanung Stadtplanung, Kommunale Planung
• Geowissenschaften Umweltwissenschaften Umweltüberwachung, Umweltanalytik, Umweltinformatik
• Geowissenschaften Geologie GIS, Geoinformatik

Inhaltsverzeichnis

Introduction.- Remote Sensing Data Preprocessing Technology.- Remote Sensing Extraction Technology of Urban Vegetation Information.- Measurement Technology of Two-Dimensional Urban Green Space.- Measurement Technolog of Three-Dimensional Urban Green Space.- Construction Technology of Multi-Scale Perception Model of Urban Green Space.- Evaluation Technology of Remote Sensing in Urban Green Space.

Über Autor(innen)

Dr. Meng Qingyan, Professor, Doctoral supervisor of Aerospace Information Research Institute, Chinese Academy of Sciences, Professor of University of Chinese Academy of Sciences. Once served as director-general assistant of Institute of remote sensing and digital earth, Chinese Academy of Sciences, Office Director of Demonstration Center for Spaceborne Remote Sensing, China National Space Administration, expert of Application System of China National Major Science & Technology project ‘High Resolution Earth Observation System’, member of expert committee of China National Ecological Protection Red Line Supervision Platform, Leading expert of Disaster Information Service System Planning of China Major Project ‘National Natural Disaster Space Infrastructure’, Invited Professor of China Seismic Network Center of China Earthquake Administration, member of the professional committee of space Earth Observation of China Seismological Society, Deputy Secretary General of Digital City Council of China Society for Urban Studies.

Professor Meng’s research interests focus on urban land surface environment remote sensing and earthquake infrared remote sensing. He has presided over 40 national projects, such as China National Science and Technology Support Project, China National Natural Science Foundation Project, EU's Seventh Framework Project and National Major Science and Technology Special Project. He has published more than 160 academic papers, published 3 monographs, authorized and accepted 49 invention patents, and obtained 16 software copyrights and 19 awards including 4 first prize, 5 second prize, 2 Industrial Engineering Gold Award and 1 Silver Award. He has conducted international cooperation research with more than 10 countries including France, Hungary, Russia, Bulgaria, Egypt and Thailand. The Chinese book of ‘Remote Sensing of Urban Green Space’ has been awarded the only Gold Medal in the field of Urban Environmental Sciences of the 10th Qian Xuesen Urban Research, National Science and Technology Academic Works Publication Fund, and selected as the top ten Remote sensing events in China in 2020.