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Table of Contents
1 Cover
6 Preface
7 Part I: Remote Sensing for Global Drought and Flood Observations 1 Progress, Challenges, and Opportunities in Remote Sensing of Drought 1.1. INTRODUCTION 1.2. PROGRESS IN REMOTE SENSING OF DRIVERS OF DROUGHT 1.3. MULTI‐INDICATOR DROUGHT MODELING 1.4. DROUGHT AND HEATWAVES FEEDBACKS 1.5. REMAINING CHALLENGES AND OPPORTUNITIES 1.6. CONCLUSION REFERENCES 2 Remote Sensing of Evapotranspiration for Global Drought Monitoring 2.1. INTRODUCTION 2.2. HISTORICAL SKETCH OF ET REMOTE SENSING STUDIES AND ET DATA PRODUCTS 2.3. ESTIMATING ET AND MONITORING DROUGHT WITH GEOSTATIONARY SATELLITE THERMAL OBSERVATIONS 2.4. DROUGHT MONITORING PRODUCT SYSTEM BASED ON ET REMOTE SENSING 2.5. COMBINING ET REMOTE SENSING WITH MICROWAVE SOIL MOISTURE DATA FOR DROUGHT MONITORING 2.6. DISCUSSION ACKNOWLEDGMENTS REFERENCES 3 Drought Monitoring Using Reservoir Data Collected via Satellite Remote Sensing 3.1. INTRODUCTION 3.2. DROUGHT MONITORING USING REMOTELY SENSED RESERVOIR DATA 3.3. ADOPTING REMOTELY SENSED RESERVOIR DATA TO SUPPORT DROUGHT MODELING APPLICATIONS 3.4. FUTURE DIRECTIONS 3.5. DISCUSSION AND CONCLUSIONS ACKNOWLEDGMENTS REFERENCES 4 Automatic Near‐Real‐Time Flood Mapping from Geostationary Low Earth Orbiting Satellite Observations 4.1. INTRODUCTION 4.2. DATA USED 4.3. METHODS 4.4. APPLICATIONS 4.5. VALIDATION 4.6. DISCUSSION 4.7. SUMMARY ACKNOWLEDGMENTS REFERENCES 5 Global Flood Observation with Multiple Satellites: Applications in Rio Salado (Argentina) and the Eastern Nile Basin 5.1. INTRODUCTION: THE STATE OF THE SCIENCE AND NEED FOR GLOBAL SATELLITE FLOOD MAPPING 5.2. METHODS FOR GLOBAL FLOOD OBSERVATION 5.3. WATERSHED CASE STUDIES: ARGENTINA AND THE EASTERN NILE REGION 5.4. RESULTS FROM FLOOD MAPPING IN CASE STUDIES 5.5. LIMITATIONS AND FUTURE DIRECTIONS FOR THE UTILITY OF SATELLITE FLOOD‐EVENT DATA 5.6. CONCLUSION ACKNOWLEDGMENTS REFERENCES 6 Integrating Earth Observation Data of Floods with Large‐Scale Hydrodynamic Models 6.1. INTRODUCTION 6.2. EARTH OBSERVATION FLOOD DATA 6.3. INTEGRATION OF EO DATA AND FLOOD MODELS 6.4. OUTLOOK 6.5. CONCLUSION REFERENCES
8 Part II: Modeling and Prediction of Global Drought and Flood 7 Global Integrated Drought Monitoring with a Multivariate Framework 7.1. INTRODUCTION 7.2. METHOD 7.3. DATA 7.4. RESULTS 7.5. CONCLUSION REFERENCES 8 A Probabilistic Framework for Agricultural Drought Forecasting Using the Ensemble Data Assimilation and Bayesian Multivariate
