Buch, Englisch, 337 Seiten, Format (B × H): 159 mm x 241 mm, Gewicht: 889 g
Buch, Englisch, 337 Seiten, Format (B × H): 159 mm x 241 mm, Gewicht: 889 g
Reihe: Remote Sensing Applications Series
ISBN: 978-1-138-05460-8
Verlag: Taylor & Francis Ltd
Features
- Explores the most up-to-date developments in the field of urban remote sensing
- Integrates both technical and practical aspects covering all different topics of global urban growth issues
- Provides new and updated contributions addressing data mining of remotely sensed big data, recent urban studies on a global scale, accuracy assessment and validation, and new technical challenges
- Examines various applications of urban remote sensing in support of urban planning, environmental management, and sustainable urban development
- Authors are renowned figures in the field of remote sensing
Zielgruppe
Academic, Professional Practice & Development, and Undergraduate
Autoren/Hrsg.
Weitere Infos & Material
Preface: Remote Sensing of Urban Areas. Part I Data, Sensors, and Systems Considerations and Algorithms for Urban Feature Extraction. The Global Urban Footprint. Development of On-Demand Human Settlement Mapping System using Historical Satellite Archives.Morphological Building Index (MBI) and Its Applications to Urban Areas. Part II Assessing and Modeling Urban Landscape Compositions, Patterns and Structures. Stereo-Based Building Roof Mapping in Urban Off-Nadir VHR Satellite Images: Challenges and Solutions.Beyond Built-Up: The Internal Makeup of Urban Areas.Urban Change Detection Utilizing High Resolution Optical Images Taken from Different Viewing-Angles and Different Platforms. Part III Monitoring, Analyzing, and Modeling Urban Growth.Urbanisation in India: Patterns, Visualisation of Cities and Greenhouse Gas Inventory for Developing an Urban Observatory. Mapping Imperious Surface in the Greater Hanoi Area, Vietnam from Time Series Landsat Image, 1988 - 2015. City in desert: Mapping subpixel urban impervious surface area in a desert environment using spectral unmixing and machine learning methods. Application of Remote Sensing and Cellular Automata Model to Analyze and Simulate Urban Density Changes. Part IV Urban Planning and Socioeconomic Applications.Developing Multiscale HEAT Scores from H-Res Airborne Thermal Infrared Imagery to Support Urban Energy Efficiency: Challenges Moving Forward. Air Quality and Health Monitoring In Urban Areas Using EO and Clinical Data.Urban Green Valuation.