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" Hyperspectral remote sensing of vegetation. "
edited by Prasad S. Thenkabail, John G. Lyon, Alfredo Huete.
Document Type
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BL
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Record Number
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843843
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Title & Author
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Hyperspectral remote sensing of vegetation.\ edited by Prasad S. Thenkabail, John G. Lyon, Alfredo Huete.
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Edition Statement
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Second edition.
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Publication Statement
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Boca Raton, FL :: CRC Press, Taylor & Francis Group,, [2019]
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, ©2019
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Page. NO
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1 online resource (xxxix, 489 pages) :: illustrations (black and white, and colour)
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ISBN
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1315164159
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: 9781315164151
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9781138058545
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Bibliographies/Indexes
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Includes bibliographical references.
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Contents
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Section I. Introduction to Hyperspectral Remote Sensing of Agricultural Crops and Vegetation / Prasad S. Thenkabail, John G. Lyon, Alfredo Huete -- 1. Advances in Hyperspectral Remote Sensing of Vegetation and Agricultural Crops / Prasad S. Thenkabail, John G. Lyon, Alfredo Huete -- Section II. Hyperspectral Sensor Systems / Prasad S. Thenkabail, John G. Lyon, Alfredo Huete -- 2. Hyperspectral Sensor Characteristics: Airborne, Spaceborne, Hand-Held, and Truck-Mounted: Integration of Hyperspectral Data with LiDAR / Fred Ortenberg -- 3. Hyperspectral Remote Sensing in Global Change Studies / Jiaguo Qi, Yoshio Inoue, Narumon Wiangwang -- Section III. Hyperspectral Libraries of Agricultural Crops and Vegetation / Prasad S. Thenkabail, John G. Lyon, Alfredo Huete -- 4. Monitoring Vegetation Diversity and Health through Spectral Traits and Trait Variations Based on Hyperspectral Remote Sensing / Angela Lausch, Pedro J. Leitão -- 5. The Use of Hyperspectral Proximal Sensing for Phenotyping of Plant Breeding Trials / Andries B. Potgieter [and others] -- 6. Linking Online Spectral Libraries with Hyperspectral Test Data through Library Building Tools and Code / Muhammad Al-Amin Hoque, Stuart Phinn -- 7. The Use of Spectral Databases for Remote Sensing of Agricultural Crops / Andreas Hueni, Lola Suarez, Laurie A. Chisholm, Alex Held -- ^8. Characterization of Soil Properties Using Reflectance Spectroscopy / E. Ben-Dor, S. Chabrillat, José A. M. Demattê -- Section IV. Hyperspectral Data Mining, Data Fusion, and Algorithms / Prasad S. Thenkabail, John G. Lyon, Alfredo Huete -- 9. Spaceborne Hyperspectral EO-1 Hyperion Data Pre-Processing: Methods, Approaches, and Algorithms / Itiya P. Aneece [and others] -- 10. Hyperspectral Image Data Mining / Sreekala G. Bajwa, Yu Zhang, Alimohammad Shirzadifar -- 11. Hyperspectral Data Processing Algorithms / Antonio Plaza [and others] -- 12. Methods for Linking Drone and Field Hyperspectral Data to Satellite Data / Muhammad Al-Amin Hoque, Stuart Phinn -- 13. Integrating Hyperspectral and LiDAR Data in the Study of Vegetation / Jessica J. Mitchell [and others] -- 14. Fifty-Years of Advances in Hyperspectral Remote Sensing of Agriculture and Vegetation -- Summary, Insights, and Highlights of Volume I: Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation / Prasad S. Thenkabail, John G. Lyon, Alfredo Huete.
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Abstract
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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.
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Subject
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Crops-- Remote sensing.
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Subject
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Multispectral imaging.
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Subject
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Plants-- Remote sensing.
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Subject
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Vegetation monitoring.
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Subject
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Crops-- Remote sensing.
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Subject
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Multispectral imaging.
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Subject
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Plants-- Remote sensing.
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Subject
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SCIENCE / Life Sciences / Botany.
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Subject
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Vegetation monitoring.
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Dewey Classification
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581.7
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LC Classification
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QK46.5.V44
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Added Entry
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Huete, Alfredo
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Lyon, John G.
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Thenkabail, Prasad S.
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Parallel Title
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Fundamentals, sensor systems, spectral libraries, and data mining for vegetation
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