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|a 9789819907038
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|a Meng, Qingyan
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245 |
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|a Remote Sensing of Urban Green Space
|h Elektronische Ressource
|c by Qingyan Meng
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250 |
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|a 1st ed. 2023
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260 |
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|a Singapore
|b Springer Nature Singapore
|c 2023, 2023
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300 |
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|a XVI, 240 p. 164 illus., 133 illus. in color
|b online resource
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505 |
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|a 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
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653 |
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|a Environmental monitoring
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653 |
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|a Geographical Information System
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653 |
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|a Geography
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653 |
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|a Regional Geography
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653 |
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|a Sustainability
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653 |
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|a Geographic information systems
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653 |
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|a Environmental Monitoring
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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028 |
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|a 10.1007/978-981-99-0703-8
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|u https://doi.org/10.1007/978-981-99-0703-8?nosfx=y
|x Verlag
|3 Volltext
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|a 910.285
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520 |
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|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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