Hyperspectral Remote Sensing of Vegetation 4 Volume Set 2nd Edition by Prasad Thenkabail, John Lyon, Alfredo Huete 9781351659116 1351659111

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ISBN 10: 1351659111
ISBN 13: 9781351659116
Author: Prasad Thenkabail, John Lyon, Alfredo Huete

Written 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 Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation Volume III, Biophysical and Biochemical Characterization and Plant Species Studies demonstrates the methods that are developed and used to study terrestrial vegetation using hyperspectral data. This volume includes extensive discussions on hyperspectral data processing and how to implement data processing mechanisms for specific biophysical and biochemical applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessments Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection.

Hyperspectral Remote Sensing of Vegetation 4 Volume Set 2nd Table of contents:

1. Section I: Introduction to Hyperspectral Remote Sensing of Agricultural Crops and Vegetation
2. Chapter 1: Advances in Hyperspectral Remote Sensing of Vegetation and Agricultural Crops
3. Section II: Hyperspectral Sensor Systems
4. Chapter 2: Hyperspectral Sensor Characteristics: Airborne, Spaceborne, Hand-Held, and Truck-Mounted
5. Chapter 3: Hyperspectral Remote Sensing in Global Change Studies
6. Section III: Hyperspectral Libraries of Agricultural Crops and Vegetation
7. Chapter 4: Monitoring Vegetation Diversity and Health through Spectral Traits and Trait Variations 
8. Chapter 5: The Use of Hyperspectral Proximal Sensing for Phenotyping of Plant Breeding Trials
9. Chapter 6: Linking Online Spectral Libraries with Hyperspectral Test Data through Library Building 
10. Chapter 7: The Use of Spectral Databases for Remote Sensing of Agricultural Crops
11. Chapter 8: Characterization of Soil Properties Using Reflectance Spectroscopy
12. Section IV: Hyperspectral Data Mining, Data Fusion, and Algorithms
13. Chapter 9: Spaceborne Hyperspectral EO-1 Hyperion Data Pre-Processing: Methods, Approaches, and Algo
14. Chapter 10: Hyperspectral Image Data Mining
15. Chapter 11: Hyperspectral Data Processing Algorithms
16. Chapter 12: Methods for Linking Drone and Field Hyperspectral Data to Satellite Data
17. Chapter 13: Integrating Hyperspectral and LiDAR Data in the Study of Vegetation
18. Chapter 14: Fifty-Years of Advances in Hyperspectral Remote Sensing of Agriculture and Vegetation

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Hyperspectral Remote,Sensing,Prasad Thenkabail,John Lyon,Alfredo Huete