Remote Sensing Of Landscapes With Spectral Images


Remote Sensing Of Landscapes With Spectral Images
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Remote Sensing Of Landscapes With Spectral Images


Remote Sensing Of Landscapes With Spectral Images
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Author : John B. Adams
language : en
Publisher: Cambridge University Press
Release Date : 2006-05-11

Remote Sensing Of Landscapes With Spectral Images written by John B. Adams and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-11 with Technology & Engineering categories.


Remote Sensing of Landscapes with Spectral Images describes how to process and interpret spectral images using physical models to bridge the gap between the engineering and theoretical sides of remote-sensing and the world that we encounter when we venture outdoors. The emphasis is on the practical use of images rather than on theory and mathematical derivations. Examples are drawn from a variety of landscapes and interpretations are tested against the reality seen on the ground. The reader is led through analysis of real images (using figures and explanations); the examples are chosen to illustrate important aspects of the analytic framework. This textbook will form a valuable reference for graduate students and professionals in a variety of disciplines including ecology, forestry, geology, geography, urban planning, archaeology and civil engineering. It is supplemented by a website hosting digital colour versions of figures in the book as well as ancillary images: www.cambridge.org/9780521662214.



Hyperspectral Remote Sensing


Hyperspectral Remote Sensing
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Author : Prem Chandra Pandey
language : en
Publisher: Elsevier
Release Date : 2020-08-05

Hyperspectral Remote Sensing written by Prem Chandra Pandey and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-05 with Science categories.


Hyperspectral Remote Sensing: Theory and Applications offers the latest information on the techniques, advances and wide-ranging applications of hyperspectral remote sensing, such as forestry, agriculture, water resources, soil and geology, among others. The book also presents hyperspectral data integration with other sources, such as LiDAR, Multi-spectral data, and other remote sensing techniques. Researchers who use this resource will be able to understand and implement the technology and data in their respective fields. As such, it is a valuable reference for researchers and data analysts in remote sensing and Earth Observation fields and those in ecology, agriculture, hydrology and geology. Includes the theory of hyperspectral remote sensing, along with techniques and applications across a variety of disciplines Presents the processing, methods and techniques utilized for hyperspectral remote sensing and in-situ data collection Provides an overview of the state-of-the-art, including algorithms, techniques and case studies



Environmental Sensing


Environmental Sensing
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Author : James K. Lein
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-09-18

Environmental Sensing written by James K. Lein and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-18 with Technology & Engineering categories.


Remote sensing has witnessed a renaissance as new sensor systems, data collection capabilities and image processing methodologies have expanded the technological capabilities of this science into new and important applications areas. Perhaps nowhere has this trend been more evident than in the study of earth environments. Within this broad application area remote sensing has proven to be an invaluable asset supporting timely data gathering at a range of synoptic scales, facilitating the mapping of complex landscapes and promoting the analysis of environmental process. Yet remote sensing’s contribution to the study of human/environmental interaction is scattered throughout a rich and diverse literature spanning the social and physical sciences, which frustrates access to, and the sharing of the knowledge gained through, these recent advances, and inhibits the operational use of these methods and techniques in day to day environmental practice, a recognized gap that reduces the effectiveness of environmental management programs. The objective of this book is to address this gap and provide the synthesis of method and application that is currently missing in the environmental science, re-introducing remote sensing as an important decision-support technology.



Remote Sensing Image Analysis Including The Spatial Domain


Remote Sensing Image Analysis Including The Spatial Domain
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Author : Steven M. de Jong
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-07-26

Remote Sensing Image Analysis Including The Spatial Domain written by Steven M. de Jong and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-26 with Science categories.


Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of innovative and advanced image processing methods for including spatial information, captured by neighbouring pixels in remotely sensed images, to improve image interpretation or image classification. Presented methods include different types of variogram analysis, various methods for texture quantification, smart kernel operators, pattern recognition techniques, image segmentation methods, sub-pixel methods, wavelets and advanced spectral mixture analysis techniques. Apart from explaining the working methods in detail a wide range of applications is presented covering land cover and land use mapping, environmental applications such as heavy metal pollution, urban mapping and geological applications to detect hydrocarbon seeps. The book is meant for professionals, PhD students and graduates who use remote sensing image analysis, image interpretation and image classification in their work related to disciplines such as geography, geology, botany, ecology, forestry, cartography, soil science, engineering and urban and regional planning.



Remote Sensing Of Protected Lands


Remote Sensing Of Protected Lands
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Author : Yeqiao Wang
language : en
Publisher: CRC Press
Release Date : 2011-11-21

Remote Sensing Of Protected Lands written by Yeqiao Wang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-21 with Nature categories.


National parks, wildlife refuges and sanctuaries, natural reserves, conservation areas, frontier lands, and marine-protected areas are increasingly recognized as essential providers of ecosystem services and biological resources. As debates about climate change and sustainability intensify, protected areas become more important as indicators of ecosystem conditions in particular environments or in comparison with adjacent environments. The first book of its kind, Remote Sensing of Protected Lands showcases state-of-the-art remote sensing applications for the inventory and monitoring of protected areas. Contributions from renowned scholars and experts from around the world are organized into four sections covering the use of remote sensing in: Changing landscapes and change detection Inventory, mapping, and conservation Inventory and monitoring of frontier lands Decision support for the management of protected lands A View of Both the Forest and the Trees Combining reviews of theories and methods with analysis of case studies, the book gives readers both a systematic view of the field and detailed knowledge of specific topics. Case studies explore key topics in the context of a wide range of protected areas, including national parks in the United States and Canada, the Albertine Rift in eastern Africa, the Amazon forests, the Changbai Mountain region in Northeast Asia, the frontier lands in Siberia and the Tibetan Plateau, and marine protected areas along the tropical and temperate Pacific and Atlantic coasts. Alongside each case study, the book examines advanced remote sensing technologies such as airborne and spaceborne high spatial resolution imageries, multispectral and multitemporal time series data, satellite interferometric synthetic aperture radar (InSAR), and the integration of remote sensing and field measurements for information extraction and modeling. Discussing challenges, lessons learned, and recommendations, this book provides a snapshot of how remote sensing techniques can be used to gather extensive spatial, spectral, temporal, and thematic information on protected lands and waters.



Remote Sensing Image Processing


Remote Sensing Image Processing
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Author : Gustavo Camps-Valls
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2011-12-11

Remote Sensing Image Processing written by Gustavo Camps-Valls and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-11 with Technology & Engineering categories.


Earth observation is the field of science concerned with the problem of monitoring and modeling the processes on the Earth surface and their interaction with the atmosphere. The Earth is continuously monitored with advanced optical and radar sensors. The images are analyzed and processed to deliver useful products to individual users, agencies and public administrations. To deal with these problems, remote sensing image processing is nowadays a mature research area, and the techniques developed in the field allow many real-life applications with great societal value. For instance, urban monitoring, fire detection or flood prediction can have a great impact on economical and environmental issues. To attain such objectives, the remote sensing community has turned into a multidisciplinary field of science that embraces physics, signal theory, computer science, electronics and communications. From a machine learning and signal/image processing point of view, all the applications are tackled under specific formalisms, such as classification and clustering, regression and function approximation, data coding, restoration and enhancement, source unmixing, data fusion or feature selection and extraction. This book covers some of the fields in a comprehensive way. Table of Contents: Remote Sensing from Earth Observation Satellites / The Statistics of Remote Sensing Images / Remote Sensing Feature Selection and Extraction / Classification / Spectral Mixture Analysis / Estimation of Physical Parameters



Remote Sensing Time Series Image Processing


Remote Sensing Time Series Image Processing
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Author : Qihao Weng
language : en
Publisher: CRC Press
Release Date : 2018-04-17

Remote Sensing Time Series Image Processing written by Qihao Weng and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-17 with Science categories.


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.



Introduction To Subsurface Imaging


Introduction To Subsurface Imaging
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Author : Bahaa Saleh
language : en
Publisher: Cambridge University Press
Release Date : 2011-03-17

Introduction To Subsurface Imaging written by Bahaa Saleh and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-17 with Computers categories.


Describing and evaluating the basic principles and methods of subsurface sensing and imaging, Introduction to Subsurface Imaging is a clear and comprehensive treatment that links theory to a wide range of real-world applications in medicine, biology, security and geophysical/environmental exploration. It integrates the different sensing techniques (acoustic, electric, electromagnetic, optical, x-ray or particle beams) by unifying the underlying physical and mathematical similarities, and computational and algorithmic methods. Time-domain, spectral and multisensor methods are also covered, whilst all the necessary mathematical, statistical and linear systems tools are given in useful appendices to make the book self-contained. Featuring a logical blend of theory and applications, a wealth of color illustrations, homework problems and numerous case studies, this is suitable for use as both a course text and as a professional reference.



Hyperspectral Remote Sensing Of Tropical And Sub Tropical Forests


Hyperspectral Remote Sensing Of Tropical And Sub Tropical Forests
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Author : Margaret Kalacska
language : en
Publisher: CRC Press
Release Date : 2008-02-26

Hyperspectral Remote Sensing Of Tropical And Sub Tropical Forests written by Margaret Kalacska and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-26 with Nature categories.


While frequently used in temperate environments, hyperspectral sensors and data are still a novelty in the tropics. Exploring the potential of hyperspectral remote sensing for assessing ecosystem characteristics, Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests focuses on the complex and unique set of challenges involved in using t



Urban Remote Sensing


Urban Remote Sensing
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Author : Xiaojun Yang
language : en
Publisher: John Wiley & Sons
Release Date : 2011-03-23

Urban Remote Sensing written by Xiaojun Yang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-23 with Technology & Engineering categories.


Urban Remote Sensing is designed for upper level undergraduates, graduates, researchers and practitioners, and has a clear focus on the development of remote sensing technology for monitoring, synthesis and modeling in the urban environment. It covers four major areas: the use of high-resolution satellite imagery or alternative sources of image date (such as high-resolution SAR and LIDAR) for urban feature extraction; the development of improved image processing algorithms and techniques for deriving accurate and consistent information on urban attributes from remote sensor data; the development of analytical techniques and methods for deriving indicators of socioeconomic and environmental conditions that prevail within urban landscape; and the development of remote sensing and spatial analytical techniques for urban growth simulation and predictive modeling.