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Spectral Mixture For Remote Sensing


Spectral Mixture For Remote Sensing
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Spectral Mixture For Remote Sensing


Spectral Mixture For Remote Sensing
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Author : Yosio Edemir Shimabukuro
language : en
Publisher: Springer
Release Date : 2018-11-10

Spectral Mixture For Remote Sensing written by Yosio Edemir Shimabukuro and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-10 with Science categories.


This book explains in a didactic way the basic concepts of spectral mixing, digital numbers and orbital sensors, and then presents the linear modelling technique of spectral mixing and the generation of fractional images. In addition to presenting a theoretical basis for spectral mixing, the book provides examples of practical applications such as projects for estimating and monitoring deforested areas in the Amazon. In its seven chapters, the book offers remote sensing techniques to understand the main concepts, methods, and limitations of spectral mixing for digital image processing. Chapter 1 addresses the basic concepts of spectral mixing, while chapters 2 and 3 discuss digital numbers and orbital sensors such as MODIS and Landsat MSS. Chapter 4 details the linear spectral mixing model, and chapter 5 talks about how to use this technique to create fraction images. Chapter 6 offers remote sensing applications of fraction images in deforestation monitoring, burned-area mapping, selective logging detection, and land-use/land-cover mapping. Chapter 7 gives some concluding thoughts on spectral mixing, and considers future uses in environmental remote sensing. This book will be of interest to students, teachers, and researchers using remote sensing for Earth observation and environmental modelling.



Resolving Spectral Mixtures


Resolving Spectral Mixtures
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Author :
language : en
Publisher: Elsevier
Release Date : 2016-08-13

Resolving Spectral Mixtures written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-13 with Computers categories.


Resolving Spectral Mixtures: With Applications from Ultrafast Time-Resolved Spectroscopy to Superresolution Imaging offers a comprehensive look into the most important models and frameworks essential to resolving the spectral unmixing problem—from multivariate curve resolution and multi-way analysis to Bayesian positive source separation and nonlinear unmixing. Unravelling total spectral data into the contributions from individual unknown components with limited prior information is a complex problem that has attracted continuous interest for almost four decades. Spectral unmixing is a topic of interest in statistics, chemometrics, signal processing, and image analysis. For decades, researchers from these fields were often unaware of the work in other disciplines due to their different scientific and technical backgrounds and interest in different objects or samples. This led to the development of quite different approaches to solving the same problem. This multi-authored book will bridge the gap between disciplines with contributions from a number of well-known and strongly active chemometric and signal processing research groups. Among chemists, multivariate curve resolution methods are preferred to extract information about the nature, amount, and location in time (process) and space (imaging and microscopy) of chemical constituents in complex samples. In signal processing, assumptions are usually around statistical independence of the extracted components. However, the chapters include the complexity of the spectral data to be unmixed as well as dimensionality and size of the data sets. Advanced spectroscopy is the key thread linking the different chapters. Applications cover a large part of the electromagnetic spectrum. Time-resolution ranges from femtosecond to second in process spectroscopy and spatial resolution covers the submicronic to macroscopic scale in hyperspectral imaging. - Demonstrates how and why data analysis, signal processing, and chemometrics are essential to the spectral unmixing problem - Guides the reader through the fundamentals and details of the different methods - Presents extensive plots, graphical representations, and illustrations to help readers understand the features of different techniques and to interpret results - Bridges the gap between disciplines with contributions from a number of well-known and highly active chemometric and signal processing research groups



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 : 2006-04-18

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 2006-04-18 with Science categories.


A graduate textbook that describes how to process and interpret spectral images using physical models.



Hyperspectral Remote Sensing


Hyperspectral Remote Sensing
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Author : Ruiliang Pu
language : en
Publisher: CRC Press
Release Date : 2017-08-16

Hyperspectral Remote Sensing written by Ruiliang Pu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-16 with Science categories.


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.



Hyperspectral Remote Sensing


Hyperspectral Remote Sensing
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Author : Marcus Borengasser
language : en
Publisher: CRC Press
Release Date : 2007-12-13

Hyperspectral Remote Sensing written by Marcus Borengasser and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-13 with Technology & Engineering categories.


Land management issues, such as mapping tree species, recognizing invasive plants, and identifying key geologic features, require an understanding of complex technical issues before the best decisions can be made. Hyperspectral remote sensing is one the technologies that can help with reliable detection and identification. Presenting the fundamenta



Remote Sensing Applications For The Urban Environment


Remote Sensing Applications For The Urban Environment
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Author : George Z. Xian
language : en
Publisher: CRC Press
Release Date : 2015-10-09

Remote Sensing Applications For The Urban Environment written by George Z. Xian and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-09 with Technology & Engineering categories.


Land use and land cover changes associated with increased urbanization have led to landscape and environmental changes throughout the world. Remote Sensing Applications for the Urban Environment places emphasis on the rapid development of worldwide urbanization and its impact on the environment, and reviews the assessment of urban land cover condit



Encyclopedia Of Soil Science


Encyclopedia Of Soil Science
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Author : Rattan Lal
language : en
Publisher: CRC Press
Release Date : 2017-01-11

Encyclopedia Of Soil Science written by Rattan Lal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-11 with Technology & Engineering categories.


New and Improved Global Edition: Three-Volume Set A ready reference addressing a multitude of soil and soil management concerns, the highly anticipated and widely expanded third edition of Encyclopedia of Soil Science now spans three volumes and covers ground on a global scale. A definitive guide designed for both coursework and self-study, this latest version describes every branch of soil science and delves into trans-disciplinary issues that focus on inter-connectivity or the nexus approach. For Soil Scientists, Crop Scientists, Plant Scientists and More A host of contributors from around the world weigh in on underlying themes relevant to natural and agricultural ecosystems. Factoring in a rapidly changing climate and a vastly growing population, they sound off on topics that include soil degradation, climate change, soil carbon sequestration, food and nutritional security, hidden hunger, water quality, non-point source pollution, micronutrients, and elemental transformations. New in the Third Edition: Contains over 600 entries Offers global geographical and thematic coverage Entries peer reviewed by subject experts Addresses current issues of global significance Encyclopedia of Soil Science, Third Edition: Three Volume Set expertly explains the science of soil and describes the material in terms that are easily accessible to researchers, students, academicians, policy makers, and laymen alike. Also Available Online This Taylor & Francis encyclopedia is also available through online subscription, offering a variety of extra benefits for researchers, students, and librarians, including: Citation tracking and alerts Active reference linking Saved searches and marked lists HTML and PDF format options Contact Taylor and Francis for more information or to inquire about subscription options and print/online combination packages. US: (Tel) 1.888.318.2367; (E-mail) [email protected] International: (Tel) +44 (0) 20 7017 6062; (E-mail) [email protected]



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



Remote Sensing For A Changing Europe


Remote Sensing For A Changing Europe
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Author : D. Maktav
language : en
Publisher: IOS Press
Release Date : 2009-05-18

Remote Sensing For A Changing Europe written by D. Maktav and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-18 with Technology & Engineering categories.


These proceedings cover 84 papers, presented earlier at the ‘Remote Sensing for a Changing Europe’ symposium held in Istanbul, Turkey (2-7 June 2008). Technical presentations were on all fields of geoinformation and remote sensing, but especially on the following topics: geoinformation and remote sensing, new sensors and instruments, image processing techniques, time series analysis, data fusion, imaging spectroscopy, urban remote sensing, land use and land cover, radar remote sensing, LIDAR, land degradation and desertification, hydrology, land ice & snow, coastal zone, forestry, agriculture, 3D spatial analysis and world heritage.



Fundamentals Sensor Systems Spectral Libraries And Data Mining For Vegetation


Fundamentals Sensor Systems Spectral Libraries And Data Mining For Vegetation
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Author : Prasad S. Thenkabail
language : en
Publisher: CRC Press
Release Date : 2018-12-07

Fundamentals Sensor Systems Spectral Libraries And Data Mining For Vegetation written by Prasad S. Thenkabail and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Technology & Engineering categories.


Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Volume I, Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation introduces the fundamentals of hyperspectral or imaging spectroscopy data, including hyperspectral data processes, sensor systems, spectral libraries, and data mining and analysis, covering both the strengths and limitations of these topics. This book also presents and discusses hyperspectral narrowband data acquired in numerous unique spectral bands in the entire length of the spectrum from various ground-based, airborne, and spaceborne platforms. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume I through the editors’ perspective. Key Features of Volume I: Provides the fundamentals of hyperspectral remote sensing used in agricultural crops and vegetation studies. Discusses the latest advances in hyperspectral remote sensing of ecosystems and croplands. Develops online hyperspectral libraries, proximal sensing and phenotyping for understanding, modeling, mapping, and monitoring crop and vegetation traits. Implements reflectance spectroscopy of soils and vegetation. Enumerates hyperspectral data mining and data processing methods, approaches, and machine learning algorithms. Explores methods and approaches for data mining and overcoming data redundancy; Highlights the advanced methods for hyperspectral data processing steps by developing or implementing appropriate algorithms and coding the same for processing on a cloud computing platform like the Google Earth Engine. Integrates hyperspectral with other data, such as the LiDAR data, in the study of vegetation. Includes best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, crop productivity and water productivity mapping, and modeling.