Hyperspectral remote sensing of vegetation. Volume three, Biophysical and biochemical characterization and plant species studies

Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing stateof- 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. Hyperspectral remote sensing or imaging spectroscopy data has been increasingly used in studying and assessing the biophysical and biochemical properties of agricultural crops and natural 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. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume III through the editors’ perspective. Key Features of Volume III: Covers recent abilities to better quantify, model, and map plant biophysical, biochemical water, and structural properties. Demonstrates characteristic hyperspectral properties through plant diagnostics or throughput phenotyping of plant biophysical, biochemical, water, and structural properties. Establishes plant traits through hyperspectral imaging spectroscopy data as well as its integration with other data, such as LiDAR, using data from various platforms (ground-based, UAVs, and earth-observing satellites). Studies photosynthetic efficiency and plant health and stress through hyperspectral narrowband vegetation indices. Uses hyperspectral data to discriminate plant species and\or their types as well as their characteristics, such as growth stages. Compares studies of plant species of agriculture, forests, and other land use\land cover as established by hyperspectral narrowband data versus multispectral broadband data. Discusses complete solutions from methods to applications, inventory, and modeling considering various platform (e.g., earth-observing satellites, UAVs, handheld spectroradiometers) from where the data is gathered. Dwells on specific applications to detect and map invasive species by using hyperspectral data. Cover 1 Half Title 2 Series Page 3 Title Page 4 Copyright Page 5 Dedication 6 Contents 8 Foreword to the First Edition 10 Foreword to the Second Edition 14 Preface 18 Acknowledgments 22 Editors 26 Contributors 30 Acronyms and Abbreviations 34 SECTION I: Vegetation Biophysical and Biochemical Properties 38 Chapter 1: Recent Developments in Remote Estimation of Crop Biophysical and Biochemical Properties at Various Scales 40 Chapter 2: Hyperspectral Assessment of Ecophysiological Functioning for Diagnostics of Crops and Vegetation 62 Chapter 3: Spectral and Spatial Methods for Hyperspectral and Thermal Image-Analysis to Estimate Biophysical and Biochemical Properties of Agricultural Crops 110 Chapter 4: Spectral and 3D Nonspectral Approaches to Crop Trait Estimation Using Ground and UAV Sensing 140 Chapter 5: Photosynthetic Efficiency and Vegetation Stress 170 SECTION II: Plant Species Identification and Discrimination 218 Chapter 6: Crop Type Discrimination Using Hyperspectral Data: Advances and Perspectives 220 Chapter 7: Identification of Canopy Species in Tropical Forests Using Hyperspectral Data 248 Chapter 8: Characteristics of Tropical Tree Species in Hyperspectral and Multispectral Data 270 Chapter 9: Detecting and Mapping Invasive Plant Species Using Hyperspectral Data 292 Chapter 10: Visible, Near Infrared, and Thermal Spectral Radiance On-Board UAVs for High-Throughput Phenotyping of Plant Breeding Trials 312 SECTION III: Conclusions 338 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 340 Index 380 This volume reviews existing “state-of-art” knowledge, highlights the advances made, and provides guidance for appropriate use of hyperspectral data in applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessment. Includes extensive discussions on data processing mechanisms.