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Book Cover
E-book
Author Meng, Qingyan

Title Remote sensing of urban green space / Qingyan Meng
Published Singapore : Springer, 2023

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Description 1 online resource
Contents Introduction -- Remote Sensing Data Preprocessing Technology -- Remote Sensing Extraction Technology of Urban Vegetation Information -- Measurement Technology of Two-Dimensional Urban Green Space -- Measurement Technology 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
Summary This book presents a systematic study of urban green space remote sensing from multi-dimensional and multi-scale technologies. 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
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (SpringerLink, viewed April 11, 2023)
Subject Greenways -- Remote sensing
Urban ecology (Biology) -- Remote sensing
Cities and towns -- Remote sensing
Cities and towns -- Remote sensing
Form Electronic book
ISBN 9789819907038
9819907039