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001 9781315164151
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008 190122t20182019fluab ob 001 0 eng d
020 _a9781315164151(e-book : PDF)
035 _a(OCoLC)1076543429
040 _aFlBoTFG
_cFlBoTFG
_erda
050 4 _aQK46.5.V44
072 7 _aTEC
_x036000
_2bisacsh
072 7 _aTEC
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_2bisacsh
072 7 _aSCI
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072 7 _aTVB
_2bicscc
245 0 0 _aFundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation /
_cedited by Prasad S. Thenkabail, John G. Lyon and Alfredo Huete.
250 _aSecond edition.
264 1 _aBoca Raton, FL :
_bCRC Press,
_c[2018].
264 4 _c©2019.
300 _a1 online resource (489 pages) :
_b201 illustrations, text file, PDF
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 0 _tSection I: Introduction to Hyperspectral Remote Sensing of Agricultural Crops and Vegetation -- 1. Advances in Hyperspectral Remote Sensing of Vegetation and Agricultural Crops -- [Prasad S. Thenkabail, John G. Lyon, and Alfredo Huete] -- Section II: Hyperspectral Sensor Systems -- 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, and Narumon Wiangwang] -- Section III: Hyperspectral Libraries of Agricultural Crops and Vegetation -- 4. Monitoring Vegetation Diversity and Health through Spectral Traits and Trait Variations Based on Hyperspectral Remote Sensing -- [Angela Lausch and Pedro J. Leito] -- 5. The Use of Hyperspectral Proximal Sensing for Phenotyping of Plant Breeding Trials -- [Andries B. Potgieter, James Watson, Barbara George-Jaeggli, Gregory McLean, Mark Eldridge, Scott C. Chapman, Kenneth Laws, Jack Christopher, Karine Chenu, Andrew Borrell, Graeme L. Hammer, and David R. Jordan] -- 6. Linking Online Spectral Libraries with Hyperspectral Test Data through Library Building Tools and Code -- [Muhammad Al-Amin Hoque and Stuart Phinn] -- 7. The Use of Spectral Databases for Remote Sensing of Agricultural Crops -- [Andreas Hueni, Lola Suarez, Laurie A. Chisholm, and Alex Held] -- 8. Characterization of Soil Properties Using Reflectance Spectroscopy -- [E. Ben-Dor, S. Chabrillat, and Jos A. M. Dematt] -- Section IV: Hyperspectral Data Mining, Data Fusion, and Algorithms -- 9. Spaceborne Hyperspectral EO-1 Hyperion Data Pre-Processing: Methods, Approaches, and Algorithms -- [Itiya P. Aneece, Prasad S. Thenkabail, John G. Lyon, Alfredo Huete, and Terrance Slonecker] -- 10. Hyperspectral Image Data Mining -- [Sreekala G. Bajwa, Yu Zhang, and Alimohammad Shirzadifar] -- 11. Hyperspectral Data Processing Algorithms -- [Antonio Plaza, Javier Plaza, Gabriel Martn, and Sergio Snchez] -- 12. Methods for Linking Drone and Field Hyperspectral Data to Satellite Data -- [Muhammad Al-Amin Hoque and Stuart Phinn] -- 13. Integrating Hyperspectral and LiDAR Data in the Study of Vegetation -- [Jessica J. Mitchell, Nancy F. Glenn, Kyla M. Dahlin, Nayani Ilangakoon, Hamid Dashti, and Megan C. Maloney] -- 14. Fifty-Years of Advances in Hyperspectral Remote Sensing of Agriculture and VegetationSummary, Insights, and Highlights of Volume I: Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation -- [Prasad S. Thenkabail, John G. Lyon, and Alfredo Huete].
520 3 _aWritten 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.
530 _aAlso available in print format.
650 7 _aTECHNOLOGY & ENGINEERING / Agriculture / General.
_2bisacsh
650 7 _aSCIENCE / Earth Sciences / General.
_2bisacsh
650 7 _aBroad-band data from sensors; Landsat ETM+.
_2bisacsh
650 7 _aCloud computing.
_2bisacsh
650 7 _aCrop water use and water productivity modeling and mapping.
_2bisacsh
650 7 _aHyperspectral sensor systems.
_2bisacsh
650 7 _aSpaceborne hyperspectral EO-1 Hyperion pre-processing.
_2bisacsh
650 7 _aUAV and field hyperspectral data.
_2bisacsh
650 0 _aVegetation monitoring.
650 0 _aPlants
_xRemote sensing.
650 0 _aCrops
_xRemote sensing.
650 0 _aMultispectral imaging.
655 0 _aElectronic books.
700 1 _aThenkabail, Prasad S.,
_eeditor.
700 1 _aLyon, John G.,
_eeditor.
700 1 _aHuete, Alfredo ,
_eeditor.
710 2 _aTaylor and Francis.
776 0 8 _iPrint version:
_z9781138058545
856 4 0 _uhttps://www.taylorfrancis.com/books/9781315164151
_zClick here to view
999 _c128899
_d128899