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Remote sensing of urban green space

Meng, Qingyan.

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Remote sensing of urban green space

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Remote sensing of urban green space/ by Qingyan Meng.
作者:	Meng, Qingyan.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xvi, 240 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Greenways - Remote sensing. -
電子資源:	https://doi.org/10.1007/978-981-99-0703-8
ISBN:	9789819907038

Remote sensing of urban green space
Meng, Qingyan.

Remote sensing of urban green space[electronic resource] /by Qingyan Meng. - Singapore :Springer Nature Singapore :2023. - xvi, 240 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9789819907038

Standard No.: 10.1007/978-981-99-0703-8doiSubjects--Topical Terms:

3631099
Greenways
--Remote sensing.

LC Class. No.: HT166 / .M46 2023

Dewey Class. No.: 307.760285

Remote sensing of urban green space
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520 $a 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.
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