Название | Remote Sensing of Water-Related Hazards |
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Автор произведения | Группа авторов |
Жанр | География |
Серия | |
Издательство | География |
Год выпуска | 0 |
isbn | 9781119159148 |
Table of Contents
1 Cover
3 Title Page Geophysical Monograph 271
6 PREFACE
7 1 Interdisciplinary Perspectives on Remote Sensing for Monitoring and Predicting Water‐Related Hazards 1.1. BACKGROUND 1.2. ADVANCES IN REMOTE SENSING TECHNOLOGIES 1.3. OBJECTIVES AND ORGANIZATION OF THE BOOK REFERENCES
8 Part I: Remote Sensing of Precipitation and Storms 2 Progress in Satellite Precipitation Products over the Past Two Decades 2.1. INTRODUCTION 2.2. STUDY AREA AND DATASETS 2.3. METHODOLOGY 2.4. RESULTS 2.5. SUMMARY AND CONCLUSION ACKNOWLEDGMENTS REFERENCES 3 Observations of Tornadoes and Their Parent Supercells Using Ground‐Based, Mobile Doppler Radars 3.1. INTRODUCTION: THE MOTIVATION FOR GROUND‐BASED, MOBILE DOPPLER RADARS 3.2. A HISTORY OF GROUND‐BASED, MOBILE DOPPLER RADARS AND ANALYSIS TECHNIQUES 3.3. OBSERVATIONS OF THE STRUCTURE OF TORNADOES AND THEIR PARENT STORMS 3.4. OBSERVATIONS OF TORNADOGENESIS AND TORNADO EVOLUTION 3.5. FUTURE RADAR DEVELOPMENT AND OTHER RADAR‐RELATED ACTIVITIES ACKNOWLEDGMENTS REFERENCES
9 Part II: Remote Sensing of Precipitation and Storms 4 Remote Sensing Mapping and Modeling for Flood Hazards in Data‐Scarce Areas 4.1. INTRODUCTION 4.2. METHODOLOGY 4.3. STUDY AREA AND DATA 4.4. RESULTS AND DISCUSSION 4.5. CONCLUSION REFERENCES 5 Multisensor Remote Sensing and the Multidimensional Modeling of Extreme Flood Events 5.1. INTRODUCTION 5.2. THE DETECTABILITY OF REMOTE SENSING TECHNOLOGY OVER THE EXTREME EVENT 5.3. INTEGRATION OF REMOTE SENSING AND CREST FOR HURRICANE HARVEY FLOOD SIMULATION 5.4. CONCLUSION AND FUTURE OUTLOOK REFERENCES 6 A Multisource, Data‐Driven, Web‐GIS‐Based Hydrological Modeling Framework for Flood Forecasting and Prevention 6.1. INTRODUCTION 6.2. MATERIALS AND METHODS 6.3. EVALUATIONS AND RESULTS 6.4. DISCUSSION 6.5. CONCLUSION ACKNOWLEDGMENTS REFERENCES 7 An Ensemble‐Based, Remote‐Sensing‐Driven, Flood‐Landslide Early Warning System 7.1. INTRODUCTION 7.2. METHODOLOGY 7.3. STUDY AREA 7.4. RESULTS 7.5. CONCLUSIONS AND SUMMARY REFERENCES 8 Detection of Hazard‐Damaged Bridges Using Multitemporal High‐Resolution SAR Imagery 8.1. INTRODUCTION 8.2. BACKSCATTERING MODEL OF BRIDGES OVER WATER 8.3. THE STUDY AREA AND IMAGE DATA 8.4. METHODOLOGY FOR DAMAGE ASSESSMENT OF BRIDGES 8.5. RESULTS AND DISCUSSIONS 8.6. CONCLUSIONS ACKNOWLEDGMENTS REFERENCES
10 Part III: Remote Sensing of Precipitation and Storms 9 Drought Monitoring Based on Remote Sensing 9.1.