Urban remote sensing
著者
書誌事項
Urban remote sensing
CRC Press, Taylor & Francis Group, c2007
大学図書館所蔵 全2件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references (p. 390-391) and index
内容説明・目次
内容説明
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 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
Analyzes urban landscapes in terms of composition and structure, especially using sub-pixel analysis techniques
Presents methods for monitoring, analyzing, and modeling urban growth
Illustrates various approaches to urban planning and socio-economic applications of urban remote sensing
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.
目次
- URBAN FEATURE EXTRACTION True Orthoimage Generation for Urban Areas with Very High Buildings
- Guoqing Zhou and John Kelmelis Urban Terrain and Building Extraction from Airborne LIDAR Data
- Jie Shan and Aparajithan Sampath Reconstruction of Buildings in SAR Imagery of Urban Areas
- Uwe Stilla and Uwe Soergel URBAN COMPOSITION AND STRUCTURE Subpixel Analysis of Urban Landscapes
- Qihao Weng and Dengsheng Lu Bayesian Spectral Mixture Analysis for Urban Vegetation
- Conghe Song Urban Mapping with Geospatial Algorithms
- Soe W. Myint Applying Imaging Spectrometry in Urban Areas
- Martin Herold Sebastian Schiefer, Patrick Hostert, and Dar A. Roberts URBAN LAND DYNAMICS Urban Land Use Prediction Model with Spatiotemporal Data Mining and GIS
- Weiguo Liu, Karen C. Seto, Zhanli Sun, and Yong Tian Assessing Urban Growth with Subpixel Impervious Surface Coverage
- George Xian Remote Sensing and Urban Growth Theory
- Martin Herold, Jeff Hemphill, and Kenneth C. Clarke URBAN PLANNING AND SOCIOECONOMIC APPLICATIONS Urban Heat Island Identification and Climatologic Analysis in a Coastal, Tropical City: San Juan, Puerto Rico
- Jorge E. Gonzalez, Jeffrey C. Luvall, Douglas L. Rickman, Daniel Comarazamy, and Ana J. Picon Assessing Urban Environmental Quality with Multiple Parameters
- Janet Elizabeth Nichol and Man Sing Wong Population Estimation and Interpolation Using Remote Sensing
- Xiaohang Liu and Martin Herold Sociodemographic Characterization of Urban Areas Using Nighttime Imagery, Google Earth, Landsat, and "Social" Ground Truthing
- Paul C. Sutton, Matthew J. Taylor, Sharolyn Anderson, and Christopher D. Elvidge Integration of Remote Sensing and Census Data for Assessing Urban Quality of Life: Model Development and Validation
- Guiying Li and Qihao Weng PROGRESS, PROBLEMS, AND PROSPECTS Mapping Human Settlements Using the Middle Infrared (3-5 m): Advantages, Prospects, and Limitations
- Geoffrey M. Henebry New Developments and Trends for Urban Remote Sensing
- Manfred Ehlers Spectral Resolution in the Context of Very High Resolution Urban Remote Sensing
- Paolo Gamba and Fabio Dell'Acqua
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