Hyperspectral Remote Sensing of Vegetation, 4-Volume Set

Description

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. 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