Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

Author:   Prasad S. Thenkabail (U.S. Geological Survey, Arizona, USA) ,  John G. Lyon (Clifton, Virginia, USA) ,  Alfredo Huete (University of Technology, Sydney)
Publisher:   Taylor & Francis Ltd
Edition:   2nd edition
ISBN:  

9781138364769


Pages:   385
Publication Date:   11 December 2018
Format:   Hardback
Availability:   In Print   Availability explained
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Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation


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Author:   Prasad S. Thenkabail (U.S. Geological Survey, Arizona, USA) ,  John G. Lyon (Clifton, Virginia, USA) ,  Alfredo Huete (University of Technology, Sydney)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Edition:   2nd edition
Weight:   1.188kg
ISBN:  

9781138364769


ISBN 10:   1138364762
Pages:   385
Publication Date:   11 December 2018
Audience:   General/trade ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

Very comprehensive and an excellent reference, both for practitioners in the field as well as students hoping to learn more about the uses of Hyperspectral Data for characterizing a diverse set of vegetation...There are books by other authors on Hyperspectral approaches and vegetation characterization(non-hyperspectral), but I believe this book stands alone as the final word on Hyperspectral characterization of vegetation. In fact, all the premier works in literature on Hyperspectral characterization of vegetation have been authored by Thenkabail et al.! --Dr. Thomas George, CEO, SaraniaSat Inc. The publication of the four-volume set, Hyperspectral Remote Sensing of Vegetation, Second Edition, is a landmark effort in providing an important, valuable, and timely contribution that summarizes the state of spectroscopy-based understanding of the Earth's terrestrial and near shore environments. --Susan L. Ustin, John Muir Institute The second edition of the book is major revision effort and covers all the aspects most descriptively and explicitly for the students, academia and professionals across the discipline. The book provides breadth of innovative applications of mathematical techniques to extract information from the hyperspectral image data. The chapters are contributed by internationally renowned authors in their respective fields...The hand book Hyperspectral Remote Sensing of Vegetation by Prasad S. Thenkabail, John G. Lyon and Alfredo Huete is most comprehensive, designed for learning and the best book in the discipline today. --Dr. P.S. Roy, ICRISAT-CGIAR


Very comprehensive and an excellent reference, both for practitioners in the field as well as students hoping to learn more about the uses of Hyperspectral Data for characterizing a diverse set of vegetation...There are books by other authors on Hyperspectral approaches and vegetation characterization(non-hyperspectral), but I believe this book stands alone as the final word on Hyperspectral characterization of vegetation. In fact, all the premier works in literature on Hyperspectral characterization of vegetation have been authored by Thenkabail et al.! --Dr. Thomas George, CEO, SaraniaSat Inc. The publication of the four-volume set, Hyperspectral Remote Sensing of Vegetation, Second Edition, is a landmark effort in providing an important, valuable, and timely contribution that summarizes the state of spectroscopy-based understanding of the Earth's terrestrial and near shore environments. --Susan L. Ustin, John Muir Institute


"""Very comprehensive and an excellent reference, both for practitioners in the field as well as students hoping to learn more about the uses of Hyperspectral Data for characterizing a diverse set of vegetation...There are books by other authors on Hyperspectral approaches and vegetation characterization(non-hyperspectral), but I believe this book stands alone as the final word on Hyperspectral characterization of vegetation. In fact, all the premier works in literature on Hyperspectral characterization of vegetation have been authored by Thenkabail et al.!"" --Dr. Thomas George, CEO, SaraniaSat Inc. ""The publication of the four-volume set, Hyperspectral Remote Sensing of Vegetation, Second Edition, is a landmark effort in providing an important, valuable, and timely contribution that summarizes the state of spectroscopy-based understanding of the Earth’s terrestrial and near shore environments."" --Susan L. Ustin, John Muir Institute ""The second edition of the book is major revision effort and covers all the aspects most descriptively and explicitly for the students, academia and professionals across the discipline. The book provides breadth of innovative applications of mathematical techniques to extract information from the hyperspectral image data. The chapters are contributed by internationally renowned authors in their respective fields...The hand book Hyperspectral Remote Sensing of Vegetation by Prasad S. Thenkabail, John G. Lyon and Alfredo Huete is most comprehensive, designed for learning and the best book in the discipline today."" --Dr. P.S. Roy, ICRISAT-CGIAR ""This book is an absolute gem. The history, the contemporary and the future of hyperspectral remote sensing of vegetation is contained within these pages. New topics on data mining and machine learning are hugely helpful to understand how scientists can go about processing these massive data sets. With great societal challenges such as food security, sustainability, deforestation and land use change, the research presented in this book provides clear evidence that hyperspectral remote sensing has an important and valuable role to play. The book is a great resource for undergraduate, postgraduate students, research and academics. There is something in this book for everyone. I want it on my shelf."" --Prof. Kevin Tansey, Leicester Institute for Space & Earth Observation"


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Prasad S. Thenkabail, John G. Lyon, Alfredo Huete

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