Hyperspectral Indices and Image Classifications for Agriculture and Vegetation

Evaluating the performance of various types of hyperspectral vegetation indices in characterizing agricultural crops, this volume discusses non-invasive quantification of foliar pigments, leaf nitrogen concentration of cereal crop, the estimation of nitrogen content in crops and pastures, forest lea...

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Bibliographic Details
Main Authors Thenkabail, Prasad S, Lyon, John G, Huete, Alfredo
Format eBook
LanguageEnglish
Published Milton Taylor & Francis Group 2018
Edition2
Online AccessGet full text
ISBN9781138066038
1138066036
DOI10.1201/9781315159331

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Table of Contents:
  • Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- 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