Today, remote sensing technology is an essential tool for understanding the Earth and managing human-Earth interactions. There is a rapidly growing need for remote sensing and Earth observation technology that enables monitoring of world’s natural resources and environments, managing exposure to natural and man-made risks and more frequently occurring disasters, and helping the sustainability and productivity of natural and human ecosystems. The improvement in temporal resolution/revisit allows for the large accumulation of images for a specific location, creating a possibility for time series image analysis and eventual real-time assessments of scene dynamics. As an authoritative text, Remote Sensing Time Series Image Processing brings together active and recognized authors in the field of time series image analysis and presents to the readers the current state of knowledge and its future directions.
Divided into three parts, the first addresses methods and techniques for generating time series image datasets. In particular, it provides guidance on the selection of cloud and cloud shadow detection algorithms for various applications. Part II examines feature development and information extraction methods for time series imagery. It presents some key remote sensing-based metrics, and their major applications in ecosystems and climate change studies. Part III illustrates various applications of time series image processing in land cover change, disturbance attribution, vegetation dynamics, and urbanization.
This book is intended for researchers, practitioners, and students in both remote sensing and imaging science. It can be used as a textbook by undergraduate and graduate students majoring in remote sensing, imaging science, civil and electrical engineering, geography, geosciences, planning, environmental science, land use, energy, and GIS, and as a reference book by practitioners and professionals in the government, commercial, and industrial sectors.
"Sinopsis" puede pertenecer a otra edición de este libro.
Dr. Qihao Weng is the Director of the Center for Urban and Environmental Change and a Professor of geography at Indiana State University, USA. He was a visiting NASA Senior Fellow (2008-09). Dr. Weng is a Guest/Adjunct Professor of several major universities including Peking University and a Guest Research Scientist at Beijing Meteorological Bureau, China. He received his Ph.D. degree in geography from the University of Georgia in 1999. At the same year, he joined the University of Alabama as an assistant professor. Since 2001, he has been a member of the faculty in the Department of Earth and Environmental Systems at Indiana State University, where he has taught courses on remote sensing, digital image processing, GIS, environmental modeling, and urban studies, and has mentored 15 doctoral and 13 master students. Dr. Weng’s research focuses on remote sensing and GIS analysis of urban ecological and environmental systems, land-use and land-cover change, environmental modeling, urbanization impacts, and human-environment interactions. He is the author of over 200 peer-reviewed journal articles and other publications and 10 books. According to Web of Science, his publications have been cited by others 4,280 times with H-index of 35. His Google citation yields over 10,000 times. Dr. Weng has worked extensively with optical and thermal remote sensing data, and more recently with LiDAR data, primarily for urban heat island study, land-cover and impervious surface mapping, urban growth detection, image analysis algorithms, and the integration with socioeconomic characteristics, with financial support from US funding agencies that include NSF, NASA, USGS, USAID, NOAA, National Geographic Society, and Indiana Dept of Natural Resources. Dr. Weng was the recipient of the Robert E. Altenhofen Memorial Scholarship Award by the American Society for Photogrammetry and Remote Sensing (1999), the Best Student-Authored Paper Award by the International Geographic Information Foundation (1998), and the 2010 Erdas Award for Best Scientific Paper in Remote Sensing by ASPRS (1st place). At Indiana State University, he received the Theodore Dreiser Distinguished Research Award in 2006 (the university’s highest research honor) and was selected as a Lilly Foundation Faculty Fellow in 2005 (one of the six recipients). In May 2008, he received a prestigious NASA senior fellowship.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: Books Puddle, Woodside, NY, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 26375701325
Cantidad disponible: 4 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Nº de ref. del artículo: 370344082
Cantidad disponible: 4 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. Nº de ref. del artículo: 18375701319
Cantidad disponible: 4 disponibles
Librería: Basi6 International, Irving, TX, Estados Unidos de America
Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Nº de ref. del artículo: ABEOCT25-146529
Cantidad disponible: 8 disponibles
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Nº de ref. del artículo: ABBB-57148
Cantidad disponible: 5 disponibles
Librería: SMASS Sellers, IRVING, TX, Estados Unidos de America
Condición: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed. Nº de ref. del artículo: SNTNB-57148
Cantidad disponible: 5 disponibles
Librería: Chiron Media, Wallingford, Reino Unido
Hardcover. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Nº de ref. del artículo: 6666-TNFPD-9781138054592
Cantidad disponible: 5 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 30691806-n
Cantidad disponible: 10 disponibles
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: New. Nº de ref. del artículo: 30691806-n
Cantidad disponible: 10 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 30691806
Cantidad disponible: 10 disponibles