Hyperspectral Remote Sensing in Urban Environments, Deshpande, Shailesh Shank
Автор: Borengasser, Marcus Hungate, William S. Watkins, Russell Название: Hyperspectral remote sensing ISBN: 1138747181 ISBN-13(EAN): 9781138747180 Издательство: Taylor&Francis Рейтинг: Цена: 76550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presenting the fundamentals of remote sensing at an introductory level, this book explores all major aspects of hyperspectral image acquisition, exploitation, interpretation, and applications. It introduces spectral radiometry concepts, covers imaging spectrometers, and addresses atmospheric interactions.
Название: Advanced applications in remote sensing of agricultural crops and natural vegetation ISBN: 1032475870 ISBN-13(EAN): 9781032475875 Издательство: Taylor&Francis Рейтинг: Цена: 44910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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 m
Автор: Pu, Ruiliang Название: Hyperspectral Remote Sensing ISBN: 1498731597 ISBN-13(EAN): 9781498731591 Издательство: Taylor&Francis Рейтинг: Цена: 199050.00 T Наличие на складе: Нет в наличии.
Автор: Manolakis Название: Hyperspectral Imaging Remote Sensing ISBN: 1107083664 ISBN-13(EAN): 9781107083660 Издательство: Cambridge Academ Рейтинг: Цена: 86590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Understand the principles, techniques and tools of imaging spectroscopy with this introductory guide providing comprehensive coverage of sensor design and calibration, atmospheric inversion and model techniques, and processing and exploitation algorithms. It explains how to apply algorithms to practical problems and interpret hyperspectral imaging data.
Автор: Xiuping Jia Название: Field Guide to Hyperspectral/Multispectral Image Processing ISBN: 1510652140 ISBN-13(EAN): 9781510652149 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 35110.00 T Наличие на складе: Нет в наличии. Описание: Hyper/multispectral imagery in optical remote sensing is an extension of color RGB pictures. The utilized wavelength range is beyond the visible, up to the reflective shortwave infrared. Hyperspectral imaging offers higher spectral resolution, leading to many wavebands. The spectral profiles recorded reveal reflected solar radiation from Earth-surface materials when the sensor is mounted on an airborne or spaceborne platform. An inverse process using machine-learning approaches is conducted for target detection, material identification, and associated environmental applications, which is the main purpose of remote sensing.This Field Guide covers three areas: the fundamentals of remote sensing imaging for image understanding; image processing for correction and quality improvement; and image analysis for information extraction at subpixel, pixel, superpixel, and image levels, including feature mining and reduction. Basic concepts and fundamental understanding are emphasized to prepare the reader for exploring advanced methods.
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.
Автор: Prasad S. Thenkabail Название: Hyperspectral remote sensing of vegetation / ISBN: 1138066257 ISBN-13(EAN): 9781138066250 Издательство: Taylor&Francis Рейтинг: Цена: 510400.00 T Наличие на складе: Нет в наличии. Описание: The second edition includes extensive discussions on data processing and how to implement data processing mechanisms in a standard, fast, and efficient manner. Written by global experts, each chapter focuses on specific applications, reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for data usage.
Автор: J?n Atli Benediktsson and Pedram Ghamisi Название: Spectral-Spatial Classification of Hyperspectral Remote Sensing Images ISBN: 1608078124 ISBN-13(EAN): 9781608078127 Издательство: Artech House Рейтинг: Цена: 94870.00 T Наличие на складе: Нет в наличии. Описание: 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
Автор: Prasad S. Thenkabail, John G. Lyon, Alfredo Huete Название: Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation ISBN: 1138364762 ISBN-13(EAN): 9781138364769 Издательство: Taylor&Francis Рейтинг: Цена: 158230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume discusses the use of hyperspectral data in numerous applications such as forest management, precision farming, monitoring invasive species, local to global land cover change detection, crop yield modeling and crop moisture assessment. Also emphasizes the importance of hyperspectral remote sensing tools for studying vegetation.
Автор: Prasad S. Thenkabail, John G. Lyon, Alfredo Huete Название: Biophysical and Biochemical Characterization and Plant Species Studies ISBN: 1138364711 ISBN-13(EAN): 9781138364714 Издательство: Taylor&Francis Рейтинг: Цена: 158230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for appropriate use of hyperspectral data in applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessment. Includes extensive discussions on data processing mechanisms.
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