Urban Remote Sensing 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Urban Remote Sensing

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Weng, Qihao (EDT)/ Quattrochi, Dale A. (EDT) 作者
译者
2006-10 出版日期
432 页数
$ 116.33 价格
丛书系列
9780849391996 图书编码

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发表于2024-11-14


Urban Remote Sensing 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Urban Remote Sensing 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Urban Remote Sensing 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Driven by advances in technology and societal needs, the next frontier in remote sensing is urban areas. With the advent of high-resolution imagery and more capable techniques, the question has become 'Now that we have the technology, how do we use it?' The need for a definitive resource that explores the technology of remote sensing and the issues it can resolve in an urban setting has never been more acute. Containing contributions from world renowned experts, "Urban Remote Sensing" systematically examines all aspects of the field for the first time. It provides a review of basic concepts, methodologies, and case studies. Each chapter demonstrates how to apply up-to-date techniques to the problems identified and how to analyze research results.Organized into five sections, this book focuses on data, sensors, and systems considerations as well as algorithms for urban feature extraction. It analyzes urban landscapes in terms of composition and structure, especially using sub-pixel analysis techniques. It presents methods for monitoring, analyzing, and modeling urban growth. It illustrates various approaches to urban planning and socio-economic applications of urban remote sensing. It assesses the progress made to date, identifies the existing problems and challenges, and demonstrates new developments and trends in urban remote sensing. This book is ideal for upper division undergraduate and graduate students, however it can also serve as a reference for researchers or those individuals interested in the remote sensing of cities in academia, and governmental and commercial sectors. "Urban Remote Sensing" examines how to apply remote sensing technology to urban and suburban areas.

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