Deriving Landscape-Scale Vegetation Cover and Aboveground Biomass in a Semi-Arid Ecosystem Using Imaging Spectroscopy
Author(s) -
Andrew Poley
Publication year - 2017
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.18122/b25q72
Subject(s) - arid , vegetation (pathology) , biomass (ecology) , environmental science , ecosystem , imaging spectroscopy , remote sensing , vegetation cover , cover (algebra) , scale (ratio) , physical geography , geography , ecology , cartography , land use , hyperspectral imaging , engineering , biology , medicine , mechanical engineering , pathology
vi LIST OF TABLES xi LIST OF FIGURES xiii LIST OF EQUATIONS xv LIST OF ABBREVIATIONS xvi CHAPTER ONE: Introduction 1 1. Importance of work 1 2. The 2015 Soda Fire 4 3. Reynolds Creek Experiment Watershed 5 4. Thesis organization 7 5. References 7 CHAPTER TWO: BACKGROUND 12 Imaging spectroscopy 12 Spectral mixing 13 Image classification 14 References 19 CHAPTER THREE: HYPERSPECTRAL DERIVED VEGETATION SPECIES AND COVER ACROSS LANDSCAPE GRADIENTS IN A SEMI-ARID ECOSYSTEM
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom