Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation |
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Foreword to the First Edition |
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Foreword to the Second Edition |
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xix | |
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xxiii | |
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xxvii | |
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Acronyms and Abbreviations |
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xxxv | |
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Section I Detecting Crop Management Practices, Plant Stress and Disease |
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Chapter 1 Using Hyperspectral Data in Precision Farming Applications |
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3 | (34) |
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Chapter 2 Hyperspectral Narrowbands and Their Indices in Study of Nitrogen Content of Cotton Crops |
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37 | (12) |
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Chapter 3 Analysis of the Effects of Heavy Metals on Vegetation Hyperspectral Reflectance Properties |
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49 | (20) |
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Section II Vegetation Processes and Function (ET, Water Use, GPP, LUE, Phenology) |
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Chapter 4 Mapping the Distribution and Abundance of Flowering Plants Using Hyperspectral Sensing |
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69 | (10) |
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Chapter 5 Crop Water Productivity Estimation with Hyperspectral Remote Sensing |
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79 | (18) |
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Chapter 6 Hyperspectral Remote Sensing Tools for Quantifying Plant Litter and Invasive Species in Arid Ecosystems |
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97 | (34) |
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Chapter 7 Hyperspectral Applications to Landscape Phenology |
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131 | (16) |
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Section III Land Cover, Forests And Wetland and Urban Applications Using Hyperspectral Data |
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Chapter 8 The Use of Hyperspectral Earth Observation Data for Land Use/Cover Classification: Present Status, Challenges and Future Outlook |
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147 | (28) |
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Chapter 9 Hyperspectral Remote Sensing for Forest Management |
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175 | (22) |
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Chapter 10 Characterization of Pastures Using Field and Imaging Spectrometers |
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197 | (22) |
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Chapter 11 Hyperspectral Remote Sensing of Wetland Vegetation |
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219 | (30) |
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Section IV Thermal, SWIR and Visible Remote Sensing |
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Chapter 12 Hyperspectral Remote Sensing of Fire: A Review |
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249 | (32) |
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Section V Hyperspectral Data in Global Change Studies |
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Chapter 13 Hyperspectral Data in Long-Term, Cross-Sensor Continuity Studies |
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281 | (20) |
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Section VI Hyperspectral Remote Sensing of Other Planets |
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Chapter 14 Hyperspectral Analysis of Rocky Surfaces on Earth and Other Planetary Bodies |
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301 | (38) |
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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 |
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339 | |
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Hyperspectral Indices and Image Classifications for agriculture and Vegetation |
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Foreword to the First Edition |
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ix | |
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Foreword to the Second Edition |
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xiii | |
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xvii | |
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xxv | |
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xxix | |
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Acronyms and Abbreviations |
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xxxiii | |
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Section I Hyperspectral Vegetation Indices |
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Chapter 1 Hyperspectral Vegetation Indices |
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3 | (24) |
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Chapter 2 Derivative Hyperspectral Vegetation Indices in Characterizing Forest Biophysical and Biochemical Quantities |
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27 | (40) |
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Section II Hyperspectral Image Classification Methods and Approaches |
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Chapter 3 Advances in Hyperspectral Image Classification Methods for Vegetation and Agricultural Cropland Studies |
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67 | (38) |
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Chapter 4 Big Data Processing on Cloud Computing Architectures for Hyperspectral Remote Sensing |
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105 | (30) |
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Section III Hyperspectral Vegetation Index Applications to Agriculture and Vegetation |
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Chapter 5 Noninvasive Quantification of Foliar Pigments: Principles and Implementation |
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135 | (28) |
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Chapter 6 Hyperspectral Remote Sensing of Leaf Nitrogen Concentration in Cereal Crops |
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163 | (20) |
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Chapter 7 Optical Remote Sensing of Vegetation Water Content |
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183 | (18) |
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Chapter 8 Estimation of Nitrogen Content in Herbaceous Plants Using Hyperspectral Vegetation Indices |
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201 | (26) |
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Chapter 9 Hyperspectral Remote Sensing of Leaf Chlorophyll Content: From Leaf, Canopy to Landscape Scales |
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227 | (24) |
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Chapter 10 Fifty Years of Advances in Hyperspectral Remote Sensing of Agriculture and Vegetation-Summary, Insights and Highlights of Volume II: Hyperspectral Indices and Image Classifications for Agriculture and Vegetation |
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251 | |
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287 | |
BioPhysical and Biochemical Characterization and Plant Species Studies |
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Foreword to the First Edition |
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ix | |
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Foreword to the Second Edition |
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xiii | |
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xvii | |
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xxi | |
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xxv | |
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xxix | |
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Acronyms and Abbreviations |
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xxxiii | |
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Section I Vegetation Biophysical and Biochemical Properties |
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Chapter 1 Recent Developments in Remote Estimation of Crop Biophysical and Biochemical Properties at Various Scales |
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3 | (22) |
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Chapter 2 Hyperspectral Assessment of Ecophysiological Functioning for Diagnostics of Crops and Vegetation |
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25 | (48) |
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Chapter 3 Spectral and Spatial Methods for Hyperspectral and Thermal Image-Analysis to Estimate Biophysical and Biochemical Properties of Agricultural Crops |
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73 | (30) |
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Chapter 4 Spectral and 3D Nonspectral Approaches to Crop Trait Estimation Using Ground and UAV Sensing |
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103 | (30) |
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Chapter 5 Photosynthetic Efficiency and Vegetation Stress |
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133 | (50) |
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Section II Plant Species Identification and Discrimination |
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Chapter 6 Crop Type Discrimination Using Hyperspectral Data: Advances and Perspectives |
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183 | (28) |
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Jose Carlos Neves Epiphanio |
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Antonio Roberto Formaggio |
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Chapter 7 Identification of Canopy Species in Tropical Forests Using Hyperspectral Data |
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211 | (22) |
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Chapter 8 Characteristics of Tropical Tree Species in Hyperspectral and Multispectral Data |
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233 | (22) |
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Matheus Pinheiro Ferreira |
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Carlos Roberto de Souza Filho |
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Chapter 9 Detecting and Mapping Invasive Plant Species Using Hyperspectral Data |
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255 | (20) |
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Chapter 10 Visible, Near Infrared and Thermal Spectral Radiance On-Board UAVs for High-Throughput Phenotyping of Plant Breeding Trials |
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275 | (28) |
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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 |
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303 | |
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Fundamentals, Sensor Systems, Spectral Libraries and Data Mining for Vegetation |
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Foreword to the First Edition |
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ix | |
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Foreword to the Second Edition |
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xiii | |
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xvii | |
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xxi | |
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xxv | |
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xxix | |
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Acronyms and Abbreviations |
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xxxiii | |
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Section I Introduction to Hyperspectral Remote Sensing of Agricultural Crops and Vegetation |
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Chapter 1 Advances in Hyperspectral Remote Sensing of Vegetation and Agricultural Crops |
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3 | (38) |
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Section II Hyperspectral Sensor Systems |
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Chapter 2 Hyperspectral Sensor Characteristics: Airborne, Spaceborne, Hand-Held and Truck-Mounted; Integration of Hyperspectral Data with LiDAR |
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41 | (30) |
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Chapter 3 Hyperspectral Remote Sensing in Global Change Studies |
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71 | (24) |
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Section III Hyperspectral Libraries of Agricultural Crops and Vegetation |
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Chapter 4 Monitoring Vegetation Diversity and Health through Spectral Traits and Trait Variations Based on Hyperspectral Remote Sensing |
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95 | (32) |
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Chapter 5 The Use of Hyperspectral Proximal Sensing for Phenotyping of Plant Breeding Trials |
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127 | (22) |
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Chapter 6 Linking Online Spectral Libraries with Hyperspectral Test Data through Library Building Tools and Code |
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149 | (16) |
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Chapter 7 The Use of Spectral Databases for Remote Sensing of Agricultural Crops |
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165 | (22) |
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Chapter 8 Characterization of Soil Properties Using Reflectance Spectroscopy |
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187 | (64) |
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Section IV Hyperspectral Data Mining, Data Fusion, and Algorithms |
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Chapter 9 Spaceborne Hyperspectral EO-1, Hyperion Data Pre-Processing: Methods, Approaches and Algorithms |
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251 | (22) |
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Chapter 10 Hyperspectral Image Data Mining |
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273 | (30) |
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Chapter 11 Hyperspectral Data Processing Algorithms |
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303 | (18) |
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Chapter 12 Methods for Linking Drone and Field Hyperspectral Data to Satellite Data |
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321 | (34) |
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Chapter 13 Integrating Hyperspectral and LiDAR Data in the Study of Vegetation |
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355 | (40) |
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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 |
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395 | (44) |
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439 | |