Advanced applications in remote sensing of agricultural crops and natural vegetation. (2018)
- Record Type:
- Book
- Title:
- Advanced applications in remote sensing of agricultural crops and natural vegetation. (2018)
- Main Title:
- Advanced applications in remote sensing of agricultural crops and natural vegetation
- Further Information:
- Note: Edited by Prasad S. Thenkabail, John G. Lyon, Alfredo Huete.
- Editors:
- Thenkabail, Prasad Srinivasa, 1958-
Lyon, John G
Huete, Alfredo - Contents:
- Section I: Detecting Crop Management Practices, Plant Stress, and Disease 1. 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 Data 8. The Use of Hyperspectral Earth Observation Data for Land Use/Cover Classification: Present Status, Challenges, and Future Outlook [Prem Chandra Pandey, Kiril Manevski,Section I: Detecting Crop Management Practices, Plant Stress, and Disease 1. 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 Data 8. 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 Sensing 12. 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 Studies 13. Hyperspectral Data in Long-Term, Cross-Sensor Continuity Studies [Tomoaki Miura and Hiroki Yoshioka] Section VI: Hyperspectral Remote Sensing of Other Planets 14. 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: Conclusions 15. 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] … (more)
- Edition:
- Second edition
- Publisher Details:
- Boca Raton : CRC Press
- Publication Date:
- 2018
- Extent:
- 1 online resource, illustrations (black and white, and colour)
- Subjects:
- 581.7
Vegetation monitoring
Plants -- Remote sensing
Crops -- Remote sensing
Hyperspectral imaging - Languages:
- English
- ISBNs:
- 9780429775154
9780429775161
9780429775147
9780429431166 - Related ISBNs:
- 9781138364769
- Notes:
- Note: Description based on CIP data; resource not viewed.
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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.365338
- Ingest File:
- 02_343.xml