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Hyperspectral remote sensing of vegetation. Volume IV, Advanced applications in remote sensing of agricultural crops and natural vegetation

Author: Prasad Srinivasa Thenkabail; John G Lyon; Alfredo Huete
Publisher: Boca Raton : CRC Press, [2019] ©2019
Edition/Format:   eBook : Document : English : Second editionView all editions and formats
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Genre/Form: Electronic books
Additional Physical Format: Print version :
Hyperspectral remote sensing of vegetation. Volume IV, Advanced applications in remote sensing of agricultural crops and natural vegetation.
Boca Raton: CRC Press, [2019]
(OCoLC)1079205091
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Prasad Srinivasa Thenkabail; John G Lyon; Alfredo Huete
ISBN: 0429775156 9780429775154 9780429775161 0429775164 9780429775147 0429775148 9780429431166 0429431163
OCLC Number: 1076807764
Description: 1 online resource (xl, 385 pages) : illustrations
Contents: Section I: Detecting Crop Management Practices, Plant Stress, and Disease1. Using Hyperspectral Data in Precision Farming Applications[Haibo Yao, Yanbo Huang, Lie Tang, Lei Tian, Deepak Bhatnagar, and Thomas E. Cleveland]2. Hyperspectral Narrowbands and Their Indices in Study of Nitrogen Content of Cotton Crops[Jianlong Li, Jingjing Zhang, Chunliu Tao, Dehua Zhao, and Chengcheng Gang]3. Analysis of the Effects of Heavy Metals on Vegetation Hyperspectral Reflectance Properties[E. Terrence Slonecker]Section II: Vegetation Processes and Function (ET, Water Use, GPP, LUE, Phenology)4. Mapping the Distribution and Abundance of Flowering Plants Using Hyperspectral Sensing[Tobias Landmann, Hannes Feilhauer, Miaogen Shen, Jin Chen, and Suresh Raina]5. Crop Water Productivity Estimation with Hyperspectral Remote Sensing[Michael Marshall, Itiya Aneece, Daniel Foley, Cai Xueliang, and Trent Biggs]6. Hyperspectral Remote Sensing Tools for Quantifying Plant Litter and Invasive Species in Arid Ecosystems[Pamela Lynn Nagler, B. B. Maruthi Sridhar, Aaryn Dyami Olsson, Willem J. D. van Leeuwen, and Edward P. Glenn]7. Hyperspectral Applications to Landscape Phenology[Alfredo Huete, Werapong Koedsin, and Jin Wu]Section III: Land Cover, Forests, and Wetland and Urban Applications Using Hyperspectral Data8. The Use of Hyperspectral Earth Observation Data for Land Use/Cover Classification: Present Status, Challenges, and Future Outlook[Prem Chandra Pandey, Kiril Manevski, Prashant K. Srivastava, and George P. Petropoulos]9. Hyperspectral Remote Sensing for Forest Management[Valerie Thomas]10. Characterization of Pastures Using Field and Imaging Spectrometers[Izaya Numata]11. Hyperspectral Remote Sensing of Wetland Vegetation[Elijah Ramsey III and Amina Rangoonwala]Section IV: Thermal, SWIR, and Visible Remote Sensing12. Hyperspectral Remote Sensing of Fire: A Review[Sander Veraverbeke, Philip Dennison, Ioannis Gitas, Glynn Hulley, Olga Kalashnikova, Thomas Katagis, Le Kuai, Ran Meng, Dar Roberts, and Natasha Stavros]Section V: Hyperspectral Data in Global Change Studies13. Hyperspectral Data in Long-Term, Cross-Sensor Continuity Studies[Tomoaki Miura and Hiroki Yoshioka]Section VI: Hyperspectral Remote Sensing of Other Planets14. Hyperspectral Analysis of Rocky Surfaces on Earth and Other Planetary Bodies[R. Greg Vaughan, Timothy N. Titus, Jeffrey R. Johnson, Justin J. Hagerty, Laurence A. Soderblom, Paul E. Geissler, David P. Mayer, and Will M. Grundy]Section VII: Conclusions15. Fifty Years of Advances in Hyperspectral Remote Sensing of Agriculture and Vegetation-Summary, Insights, and Highlights of Volume IV: Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation[Prasad S. Thenkabail, John G. Lyon, and Alfredo Huete]
Other Titles: Advanced applications in remote sensing of agricultural crops and natural vegetation
Responsibility: edited by Prasad S. Thenkabail, John G. Lyon, Alfredo Huete.

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