Hyperspectral Remote Sensing

Fundamentals and Practices
1. Auflage 2017
ISBN: 978-1-4987-3159-1
Verlag: CRC Press

Buch, Englisch, 490 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 1360 g

Reihe: Remote Sensing Applications Series

Advanced imaging spectral technology and hyperspectral analysis techniques for multiple applications are the key features of the book. This book will present in one volume complete solutions from concepts, fundamentals, and methods of acquisition of hyperspectral data to analyses and applications of the data in a very coherent manner. It will help readers to fully understand basic theories of HRS, how to utilize various field spectrometers and bioinstruments, the importance of radiometric correction and atmospheric correction, the use of analysis, tools and software, and determine what to do with HRS technology and data.

Autoren/Hrsg.

Pu, Ruiliang

Fachgebiete

• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
• Geowissenschaften Umweltwissenschaften Umwelttechnik
• Geowissenschaften Geologie Geologie

Inhaltsverzeichnis

Overview of Hyperspectral Remote Sensing. Field Spectrometers and Plant Biology Instruments for HRS. Imaging Spectrometers, Sensors, Systems, and Missions. Hyperspectral Image Radiometric Correction. Hyperspectral Data Analysis Techniques. Hyperspectral Data Processing Software. Hyperspectral Applications in Geology and Soil Sciences. Hyperspectral Applications to Vegetation. Hyperspectral Applications to Environments.

Über Autor(innen)

Dr. Ruiliang Pu is currently an Associate Professor with the School of Geosciences, University of South Florida (USF). He earned a Ph.D. (Cartography & Geographic Information System) in 2000, conducted at University of California at Berkeley, from Chinese Academy of Sciences. He was a visiting scholar in Institute for Space and Terrestrial Sciences, Ontario, Canada and a visiting scholar at The University of Calgary.He was an Assistant Researcher at UC Berkeley, and a Visiting Research Scientist with Earth System Science Interdisciplinary Center, University of Maryland at College Park before moving to University of South Florida (USF) in 2006. His research experience and interests are in remote sensing, GIS and spatial statistics with direct applications to natural hazard monitoring, land use/cover change detection, biophysical and biochemical parameters extraction, and coastal and terrestrial ecosystems modeling. He has published more than 82 (41 related to hyperspectral remote sensing application studies on vegetation/plants