Skip to main content

Hyperspectral Remote Sensing

In Order to Read Online or Download Hyperspectral Remote Sensing Full eBooks in PDF, EPUB, Tuebl and Mobi you need to create a Free account. Get any books you like and read everywhere you want. Fast Download Speed ~ Commercial & Ad Free. We cannot guarantee that every book is in the library!

Hyperspectral Remote Sensing

Hyperspectral Remote Sensing Book
Author : Marcus Borengasser,William S. Hungate,Russell Watkins
Publisher : CRC Press
Release : 2007-12-13
ISBN : 9781420012606
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 fundamentals of remote sensing at an introductory level, Hyperspectral Remote Sensing: Principles and Applications explores all major aspects of hyperspectral image acquisition, exploitation, interpretation, and applications. The book begins with several chapters on the basic concepts and underlying principles of remote sensing images. It introduces spectral radiometry concepts, such as radiance, irradiance, flux, and blackbody radiation; covers imaging spectrometers, examining spectral range, full width half maximum (FWHM), resolution, sampling, signal-to-noise ratio (SNR), and multispectral and hyperspectral sensor systems; and addresses atmospheric interactions. The book then discusses information extraction, with chapters covering the underlying physics principles that lead to the creation of an image and the interpretation of the image's information. The final chapters describe case studies that illustrate the use of hyperspectral remote sensing in agriculture, environmental monitoring, forestry, and geology. After reading this book, you will have a better understanding of how to evaluate different approaches to hyperspectral analyses and to determine which approaches will work for your applications.

Hyperspectral Remote Sensing

Hyperspectral Remote Sensing Book
Author : Michael Theodore Eismann
Publisher : Society of Photo Optical
Release : 2012-01-01
ISBN : 9780819487872
Language : En, Es, Fr & De

GET BOOK

Book Description :

Hyperspectral remote sensing is an emerging, multidisciplinary field with diverse applications that builds on the principles of material spectroscopy, radiative transfer, imaging spectrometry, and hyperspectral data processing. While there are many resources that suitably cover these areas individually and focus on specific aspects of the hyperspectral remote sensing field, this book provides a holistic treatment that thoroughly captures its multidisciplinary nature. The content is oriented toward the physical principles of hyperspectral remote sensing as opposed to applications of hyperspectral technology. Readers can expect to finish the book armed with the required knowledge to understand the immense literature available in this technology area and apply their knowledge to the understanding of material spectral properties, the design of hyperspectral systems, the analysis of hyperspectral imagery, and the application of the technology to specific problems.

Hyperspectral Remote Sensing of Vegetation

Hyperspectral Remote Sensing of Vegetation Book
Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Release : 2016-04-19
ISBN : 1439845387
Language : En, Es, Fr & De

GET BOOK

Book Description :

Hyperspectral narrow-band (or imaging spectroscopy) spectral data are fast emerging as practical solutions in modeling and mapping vegetation. Recent research has demonstrated the advances in and merit of hyperspectral data in a range of applications including quantifying agricultural crops, modeling forest canopy biochemical properties, detecting crop stress and disease, mapping leaf chlorophyll content as it influences crop production, identifying plants affected by contaminants such as arsenic, demonstrating sensitivity to plant nitrogen content, classifying vegetation species and type, characterizing wetlands, and mapping invasive species. The need for significant improvements in quantifying, modeling, and mapping plant chemical, physical, and water properties is more critical than ever before to reduce uncertainties in our understanding of the Earth and to better sustain it. There is also a need for a synthesis of the vast knowledge spread throughout the literature from more than 40 years of research. Hyperspectral Remote Sensing of Vegetation integrates this knowledge, guiding readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Taking a practical approach to a complex subject, the book demonstrates the experience, utility, methods and models used in studying vegetation using hyperspectral data. Written by leading experts, including pioneers in the field, each chapter presents specific applications, reviews existing state-of-the-art knowledge, highlights the advances made, and provides guidance for the appropriate use of hyperspectral data in the study of vegetation as well as its numerous applications, such as crop yield modeling, crop and vegetation biophysical and biochemical property characterization, and crop moisture assessment. This comprehensive book brings together the best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, vegetation classification, biophysical and biochemical modeling, crop productivity and water productivity mapping, and modeling. It provides the pertinent facts, synthesizing findings so that readers can get the correct picture on issues such as the best wavebands for their practical applications, methods of analysis using whole spectra, hyperspectral vegetation indices targeted to study specific biophysical and biochemical quantities, and methods for detecting parameters such as crop moisture variability, chlorophyll content, and stress levels. A collective "knowledge bank," it guides professionals to adopt the best practices for their own work.

Hyperspectral Remote Sensing and Spectral Signature Applications

Hyperspectral Remote Sensing and Spectral Signature Applications Book
Author : S. Rajendran
Publisher : New India Publishing
Release : 2009
ISBN : 9788189422349
Language : En, Es, Fr & De

GET BOOK

Book Description :

Contributed papers presented at the National Seminar on "Hyperspectral Remote Sensing and Spectral Signature Databse Management System," held on February 14-15, 2008 at Annamalai University.

Hyperspectral Remote Sensing

Hyperspectral Remote Sensing Book
Author : Prem Chandra Pandey,Prashant K. Srivastava,Heiko Balzter,Bimal Bhattacharya,George P. Petropoulos
Publisher : Elsevier
Release : 2020-08-05
ISBN : 0081028954
Language : En, Es, Fr & De

GET BOOK

Book Description :

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

Hyperspectral Remote Sensing of Agriculture and Vegetation

Hyperspectral Remote Sensing of Agriculture and Vegetation Book
Author : Simone Pascucci,Stefano Pignatti,Raffaele Casa,Roshanak Darvishzadeh,Wenjiang Huang
Publisher : MDPI
Release : 2021-01-20
ISBN : 3039439073
Language : En, Es, Fr & De

GET BOOK

Book Description :

This book shows recent and innovative applications of the use of hyperspectral technology for optimal quantification of crop, vegetation, and soil biophysical variables at various spatial scales, which can be an important aspect in agricultural management practices and monitoring. The articles collected inside the book are intended to help researchers and farmers involved in precision agriculture techniques and practices, as well as in plant nutrient prediction, to a higher comprehension of strengths and limitations of the application of hyperspectral imaging to agriculture and vegetation. Hyperspectral remote sensing for studying agriculture and natural vegetation is a challenging research topic that will remain of great interest for different sciences communities in decades.

Hyperspectral Remote Sensing of Pasture Quality

Hyperspectral Remote Sensing of Pasture Quality Book
Author : Susanne Thulin
Publisher : LAP Lambert Academic Publishing
Release : 2012-08
ISBN : 9783659171758
Language : En, Es, Fr & De

GET BOOK

Book Description :

Analysis of data from imaging spectrometers to determine vegetation parameters is a new and emerging field of science. Hyperspectral remote sensing using field spectra, HyMap and Hyperion images are here used to study the feed quality of pastures. Both environmental and economical benefits can be achieved from predictive relationships between hyperspectral data and pasture quality parameters. The research described in this book provides assessments of different analysis methods, including advantages and limitations of different approaches as well as recommendations for future investigations. The work was carried out at three study sites in Victoria, Australia. Results show that there is a clear potential for hyperspectral remote sensing to provide important inputs to management decision system as pasture quality is the third crucial component needed after biomass and growth rate. The book gives both a thourough background to hyperspectral analysis of vegetation to date and a comprehensive introduction to hyperspectral remote sensing of pastures. It should therefore be very of great interest to both students and professionals in the fields of remote sensing and agronomy.

Classification of Hyperspectral Remote Sensing Images

Classification of Hyperspectral Remote Sensing Images Book
Author : Anonim
Publisher : Unknown
Release : 2018-05
ISBN : 9781642241761
Language : En, Es, Fr & De

GET BOOK

Book Description :

Recent advances in hyperspectral remote sensor technology allow the simultaneous acquisition of hundreds of spectral wavelengths for each image pixel. Hyperspectral imaging systems can acquire numerous contiguous spectral bands throughout the electromagnetic spectrum. Therefore, hyperspectral imaging techniques are widely used for many applications, including environmental monitoring, mineralogy, astronomy, surveillance and defense. Nevertheless, the high dimensionality of the pixels, undesirable noise, high spectral redundancy and spectral and spatial variabilities, in conjunction with limited ground truth data, present challenges for the analysis of hyperspectral imagery. The classification technology is currently the predominate method for analyzing hyperspectral images and has received much attention. Over the past decades, numerous pixel-wise classification methods, which only use spectral information, have been proposed to classify remote sensing images. Recent advances in spectral-spatial classification of hyperspectral images are presented in this book. Several techniques are investigated for combining both spatial and spectral information. The book highlights the importance of spectral-spatial strategies for the accurate classification of hyperspectral images and validates the proposed methods. Spectral-Spatial Classification of Hyperspectral Remote Sensing Images presents insight into numerous important challenges when performing hyperspectral image classification related to the imbalance between high dimensionality and limited availability of training samples, or the presence of mixed pixels in the data. The book also demonstrates the reader how to integrate spatial and spectral information in order to take advantage of the benefits that both sources of information provide.

Hyperspectral Remote Sensing of Tropical and Sub Tropical Forests

Hyperspectral Remote Sensing of Tropical and Sub Tropical Forests Book
Author : Margaret Kalacska,G. Arturo Sanchez-Azofeifa
Publisher : CRC Press
Release : 2008-02-26
ISBN : 1420053434
Language : En, Es, Fr & De

GET BOOK

Book Description :

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

Hyperspectral Remote Sensing and Applications

Hyperspectral Remote Sensing and Applications Book
Author : Anonim
Publisher : Unknown
Release : 1996
ISBN : 0987650XXX
Language : En, Es, Fr & De

GET BOOK

Book Description :

Download Hyperspectral Remote Sensing and Applications book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Hyperspectral Remote Sensing and Application

Hyperspectral Remote Sensing and Application Book
Author : Robert O. Green,Qingxi Tong
Publisher : Society of Photo Optical
Release : 1998
ISBN : 9780819429612
Language : En, Es, Fr & De

GET BOOK

Book Description :

Divided into four sections, these conference papers cover: sensors, calibration, and program overviews; minerals and geology; vegetation and forests; and feature extraction and classification algorithms.

Hyperspectral Remote Sensing Application in Mineral Exploration

Hyperspectral Remote Sensing Application in Mineral Exploration Book
Author : Himanshu Govil
Publisher : LAP Lambert Academic Publishing
Release : 2015-05-05
ISBN : 9783659631450
Language : En, Es, Fr & De

GET BOOK

Book Description :

Hyperspectral Remote sensing Application in Mineral Exploration deals with the identification & mapping different hydrothermally altered/weathered minerals in Himalaya. This book provides information about the available hyperspectral technology and its use for identification and mapping of different hydrothermally altered minerals.This book also exhibits the comparison of different conventional geological methods of mineral identification with the spectroscopy.

Hyperspectral Remote Sensing

Hyperspectral Remote Sensing Book
Author : Ruiliang Pu
Publisher : CRC Press
Release : 2017-08-16
ISBN : 1351646931
Language : En, Es, Fr & De

GET BOOK

Book Description :

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.

Spectral Spatial Classification of Hyperspectral Remote Sensing Images

Spectral Spatial Classification of Hyperspectral Remote Sensing Images Book
Author : Jon Atli Benediktsson,Pedram Ghamisi
Publisher : Artech House
Release : 2015-09-01
ISBN : 1608078132
Language : En, Es, Fr & De

GET BOOK

Book Description :

This comprehensive new resource brings you up to date on recent developments in the classification of hyperspectral images using both spectral and spatial information, including advanced statistical approaches and methods. The inclusion of spatial information to traditional approaches for hyperspectral classification has been one of the most active and relevant innovative lines of research in remote sensing during recent years. This book gives you insight into several important challenges when performing hyperspectral image classification related to the imbalance between high dimensionality and limited availability of training samples, or the presence of mixed pixels in the data. This book also shows you how to integrate spatial and spectral information in order to take advantage of the benefits that both sources of information provide.

Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation Book
Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Release : 2018-12-07
ISBN : 0429775164
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection. It emphasizes the importance of hyperspectral remote sensing tools for studying vegetation processes and functions as well as the appropriate use of hyperspectral data for vegetation management practices. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume IV through the editors’ perspective. Key Features of Volume IV: Guides readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Includes specific applications on agriculture, crop management practices, study of crop stress and diseases, crop characteristics based on inputs (e.g., nitrogen, irrigation), study of vegetation impacted by heavy metals, gross and net primary productivity studies, light use efficiency studies, crop water use and actual evapotranspiration studies, phenology monitoring, land use and land cover studies, global change studies, plant species detection, wetland and forest characterization and mapping, crop productivity and crop water productivity mapping, and modeling. Encompasses hyperspectral or imaging spectroscopy data in narrow wavebands used across visible, red-edge, near-infrared, far-infrared, shortwave infrared, and thermal portions of the spectrum. Explains the implementation of hyperspectral remote sensing data processing mechanisms in a standard, fast, and efficient manner for their applications. Discusses cloud computing to overcome hyperspectral remote sensing massive big data challenges. Provides hyperspectral analysis of rocky surfaces on the earth and other planetary systems.

Advances in Unmixing of Hyperspectral Remote Sensing Imagery

Advances in Unmixing of Hyperspectral Remote Sensing Imagery Book
Author : Dževdet Burazerović
Publisher : Unknown
Release : 2014
ISBN : 0987650XXX
Language : En, Es, Fr & De

GET BOOK

Book Description :

Download Advances in Unmixing of Hyperspectral Remote Sensing Imagery book written by Dževdet Burazerović, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Active Hyperspectral Remote Sensing

Active Hyperspectral Remote Sensing Book
Author : Andre Samberg
Publisher : Unknown
Release : 2018-09-28
ISBN : 9781904445913
Language : En, Es, Fr & De

GET BOOK

Book Description :

Download Active Hyperspectral Remote Sensing book written by Andre Samberg, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Hyperspectral Remote Sensing Technology Program

Hyperspectral Remote Sensing Technology Program Book
Author : Tom Wilson
Publisher : Unknown
Release : 1997
ISBN : 0987650XXX
Language : En, Es, Fr & De

GET BOOK

Book Description :

Download Hyperspectral Remote Sensing Technology Program book written by Tom Wilson, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Hyperspectral Remote Sensing of Coral Reefs

Hyperspectral Remote Sensing of Coral Reefs Book
Author : Sumisha Velloth,Raghavendra Mupparthy,Shailesh Nayak
Publisher : LAP Lambert Academic Publishing
Release : 2015-04-01
ISBN : 9783659626951
Language : En, Es, Fr & De

GET BOOK

Book Description :

Satellite based hyperspectral remote sensing of coral reefs can be used for ecomorphological zonation and species discrimination if sufficient in situ spectra of various coral species were available. However, correcting for atmospheric and water column interference is essential to isolate the relevant signal and to detect submerged reef features. The book presents a novel application of coupled radiative transfer correction of hyperspectral data for study sites of Agatti Island in Lakshadweep Sea and Boat and Flat Islands in the Andaman and Nicobar archipelago, India.

Hyperspectral Indices and Image Classifications for Agriculture and Vegetation

Hyperspectral Indices and Image Classifications for Agriculture and Vegetation Book
Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Release : 2018-12-07
ISBN : 1351659243
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation. This volume presents and discusses topics such as the non-invasive quantification of foliar pigments, leaf nitrogen concentration of cereal crop, the estimation of nitrogen content in crops and pastures, and forest leaf chlorophyll content, among others. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume II through the editors’ perspective. Key Features of Volume II: Provides the fundamentals of hyperspectral narrowband vegetation indices and hyperspectral derivative vegetation indices and their applications in agriculture and vegetation studies. Discusses the latest advances in hyperspectral image classification methods and their applications. Explains the massively big hyperspectral sensing data processing on cloud computing architectures. Highlights the state-of-the-art methods in the field of hyperspectral narrowband vegetation indices for monitoring agriculture, vegetation, and their properties such as plant water content, nitrogen, chlorophyll, and others at leaf, canopy, field, and landscape scales. Includes best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, crop productivity and water productivity mapping, and modeling.