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.
Author(s): Prasad S. Thenkabail, John G. Lyon, Alfredo Huete
Edition: 2
Publisher: CRC Press
Year: 2018
Language: English
Pages: 1632
City: Boca Raton
Cover
Volume1
Cover
Half Title
Series Page
Title Page
Copyright Page
Dedication
Table of Contents
Foreword to the First Edition
Foreword to the Second Edition
Preface
Acknowledgments
Editors
Contributors
Acronyms and Abbreviations
Section I: Introduction to Hyperspectral Remote Sensing of Agricultural Crops and Vegetation
Chapter 1: Advances in Hyperspectral Remote Sensing of Vegetation and Agricultural Crops
Section II: Hyperspectral Sensor Systems
Chapter 2: Hyperspectral Sensor Characteristics: Airborne, Spaceborne, Hand-Held, and Truck-Mounted; Integration of Hyperspectral Data with LiDAR
Chapter 3: Hyperspectral Remote Sensing in Global Change Studies
Section III: Hyperspectral Libraries of Agricultural Crops and Vegetation
Chapter 4: Monitoring Vegetation Diversity and Health through Spectral Traits and Trait Variations Based on Hyperspectral Remote Sensing
Chapter 5: The Use of Hyperspectral Proximal Sensing for Phenotyping of Plant Breeding Trials
Chapter 6: Linking Online Spectral Libraries with Hyperspectral Test Data through Library Building Tools and Code
Chapter 7: The Use of Spectral Databases for Remote Sensing of Agricultural Crops
Chapter 8: Characterization of Soil Properties Using Reflectance Spectroscopy
Section IV: Hyperspectral Data Mining, Data Fusion, and Algorithms
Chapter 9: Spaceborne Hyperspectral EO-1 Hyperion Data Pre-Processing: Methods, Approaches, and Algorithms
Chapter 10: Hyperspectral Image Data Mining
Chapter 11: Hyperspectral Data Processing Algorithms
Chapter 12: Methods for Linking Drone and Field Hyperspectral Data to Satellite Data
Chapter 13: Integrating Hyperspectral and LiDAR Data in the Study of Vegetation
Chapter 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
Index
Volume2
Cover
Half Title
Series Page
Title Page
Copyright Page
Dedication
of Contents
Foreword to the First Edition
Foreword to the Second Edition
Preface
Acknowledgments
Editors
Contributors
Acronyms and Abbreviations
Section I: Hyperspectral Vegetation Indices
Chapter 1: Hyperspectral Vegetation Indices
Chapter 2: Derivative Hyperspectral Vegetation Indices in Characterizing Forest Biophysical and Biochemical Quantities
Section II: Hyperspectral Image Classification Methods and Approaches
Chapter 3: Advances in Hyperspectral Image Classification Methods for Vegetation and Agricultural Cropland Studies
Chapter 4: Big Data Processing on Cloud Computing Architectures for Hyperspectral Remote Sensing
Section III: Hyperspectral Vegetation Index Applications to Agriculture and Vegetation
Chapter 5: Noninvasive Quantification of Foliar Pigments
Chapter 6: Hyperspectral Remote Sensing of Leaf Nitrogen Concentration in Cereal Crops
Chapter 7: Optical Remote Sensing of Vegetation Water Content
Chapter 8: Estimation of Nitrogen Content in Herbaceous Plants Using Hyperspectral Vegetation Indices
Chapter 9: Hyperspectral Remote Sensing of Leaf Chlorophyll Content
Section IV: Conclusions
Chapter 10: Fifty Years of Advances in Hyperspectral Remote Sensing of Agriculture and Vegetation—Summary, Insights, and Highlights of Volume II
Index
Volume3
Cover
Half Title
Series Page
Title Page
Copyright Page
Dedication
Table of Contents
Foreword to the First Edition
Foreword to the Second Edition
Preface
Acknowledgments
Editors
Contributors
Acronyms and Abbreviations
Section I: Vegetation Biophysical and Biochemical Properties
Chapter 1: Recent Developments in Remote Estimation of Crop Biophysical and Biochemical Properties at Various Scales
Chapter 2: Hyperspectral Assessment of Ecophysiological Functioning for Diagnostics of Crops and Vegetation
Chapter 3: Spectral and Spatial Methods for Hyperspectral and Thermal Image-Analysis to Estimate Biophysical and Biochemical Properties of Agricultural Crops
Chapter 4: Spectral and 3D Nonspectral Approaches to Crop Trait Estimation Using Ground and UAV Sensing
Chapter 5: Photosynthetic Efficiency and Vegetation Stress
Section II: Plant Species Identification and Discrimination
Chapter 6: Crop Type Discrimination Using Hyperspectral Data: Advances and Perspectives
Chapter 7: Identification of Canopy Species in Tropical Forests Using Hyperspectral Data
Chapter 8: Characteristics of Tropical Tree Species in Hyperspectral and Multispectral Data
Chapter 9: Detecting and Mapping Invasive Plant Species Using Hyperspectral Data
Chapter 10: Visible, Near Infrared, and Thermal Spectral Radiance On-Board UAVs for High-Throughput Phenotyping of Plant Breeding Trials
Section III: Conclusions
Chapter 11: Fifty Years of Advances in Hyperspectral Remote Sensing of Agriculture and Vegetation—Summary, Insights, and Highlights of Volume III Biophysical and Biochemical Characterization and Plant Species Studies
Index
Volume4
Cover
Half Title
Series Page
Title Page
Copyright Page
Dedication
Table of Contents
Foreword to the First Edition
Foreword to the Second Edition
Preface
Acknowledgments
Editors
Contributors
Acronyms and Abbreviations
Section I: Detecting Crop Management Practices, Plant Stress, and Disease
Chapter 1: Using Hyperspectral Data in Precision Farming Applications
Chapter 2: Hyperspectral Narrowbands and Their Indices in Study of Nitrogen Content of Cotton Crops
Chapter 3: Analysis of the Effects of Heavy Metals on Vegetation Hyperspectral Reflectance Properties
Section II: Vegetation Processes and Function (ET, Water Use, GPP, LUE, Phenology)
Chapter 4: Mapping the Distribution and Abundance of Flowering Plants Using Hyperspectral Sensing
Chapter 5: Crop Water Productivity Estimation with Hyperspectral Remote Sensing
Chapter 6: Hyperspectral Remote Sensing Tools for Quantifying Plant Litter and Invasive Species in Arid Ecosystems
Chapter 7: Hyperspectral Applications to Landscape Phenology
Section III: Land Cover, Forests, and Wetland and Urban Applications Using Hyperspectral Data
Chapter 8: The Use of Hyperspectral Earth Observation Data for Land Use/Cover Classification: Present Status, Challenges, and Future Outlook
Chapter 9: Hyperspectral Remote Sensing for Forest Management
Chapter 10: Characterization of Pastures Using Field and Imaging Spectrometers
Chapter 11: Hyperspectral Remote Sensing of Wetland Vegetation
Section IV: Thermal, SWIR, and Visible Remote Sensing
Chapter 12: Hyperspectral Remote Sensing of Fire: A Review
Section V: Hyperspectral Data in Global Change Studies
Chapter 13: Hyperspectral Data in Long-Term, Cross-Sensor Continuity Studies
Section VI: Hyperspectral Remote Sensing of Other Planets
Chapter 14: Hyperspectral Analysis of Rocky Surfaces on Earth and Other Planetary Bodies
Section VII: Conclusions
Chapter 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
Index
