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Cover -- Title -- Copyright -- Contents -- Contributors -- Section 1 Monitoring and Modeling Flood Processes and Hazards -- Chapter 1 - Earth Observation for Flood Applications: Progress and Perspectives -- 1 - Motivation of this book -- 2 - Summary of content -- 2.1 - Section 1: Monitoring and modeling flood processes and hazards -- 2.2 - Section 2: Estimating flood exposure, damage, and risk -- 2.3 - Section 3: Emerging applications and challenges -- Chapter 2 - An Automatic System for Near-Real Time Flood Extent and Duration Mapping Based on Multi-Sensor Satellite Data -- 1 - Introduction -- 2 - Satellite-based multi-sensor flood mapping system -- 2.1 - NRT Flood extent mapping -- 2.1.1 - Auxiliary datasets -- 2.1.2 - TerraSAR-X Flood Service -- 2.1.3 - Sentinel-1 Flood Service -- 2.1.4 - Sentinel-2/Landsat-8 Flood Service -- 2.2 - Flood duration mapping -- 2.2.1 - Backward Flood Duration -- 2.2.2 - Total Flood Duration -- 2.2.3 - Flood duration quality layer -- 3 - Results -- 3.1 - Study area and dataset -- 3.2 - Flood extent masks -- 3.3 - Flood duration products -- 4 - Conclusion -- List of acronyms -- References -- Chapter 3 - Flood Mapping with Passive Microwave Remote Sensing: Current Capabilities and Directions for Future Development -- 1 - Introduction -- 1.1 - Microwave flood mapping for sovereign risk transfer -- 1.2 - Managing flood map ambiguities in applications -- 2 - Methods for passive microwave remote sensing for flood mapping -- 2.1 - Estimating flooded fraction -- 2.2 - Downscaling flooded fraction to map flooding -- 3 - Current capabilities -- 3.1 - Microwave flood mapping verification examples -- 3.2 - Microwave flood mapping uncertainties and limitations -- 3.2.1 - Flooded fraction noise and minimum detectability threshold -- 3.2.2 - Urban areas -- 3.2.3 - Flash false positives -- 3.2.4 - Flood duration.

Intro -- Title Page -- Copyright Page -- Contents -- Contributors -- Preface -- Chapter 1 The Need for Mapping, Modeling, and Predicting Flood Hazard and Risk at the Global Scale -- 1.1. INTRODUCTION -- 1.2. BRIEF OVERVIEW OF RECENT ADVANCES IN GLOBAL FLOOD HAZARD AND RISK MODELING -- 1.3. GLOBAL FLOOD RISK INFORMATION IN HIGH‐LEVEL DISASTER RISK MANAGEMENT ADVOCACY -- 1.4. APPLICATIONS FOR INTERNATIONAL DEVELOPMENT ORGANIZATIONS -- 1.5. APPLICATIONS FOR THE REINSURANCE INDUSTRY -- 1.6. APPLICATIONS FOR GLOBAL FLOOD FORECASTING AND EARLY WARNING -- 1.7. COMMUNICATING GLOBAL FLOOD RISK: THE AQUEDUCT GLOBAL FLOOD ANALYZER -- 1.8. THE WAY FORWARD -- REFERENCES -- Part I: Flood Hazard Mapping and Modeling from Remote Sensing -- Chapter 2 Rainfall Information for Global Flood Modeling -- 2.1. INTRODUCTION -- 2.2. ROLE OF RAINFALL IN LARGE‐SCALE FLOOD MODELING -- 2.3. GENERAL CONSIDERATIONS AND REQUIREMENTS -- 2.4. PRECIPITATION INFORMATION SOURCES -- 2.5. FUTURE DIRECTIONS -- 2.6. CONCLUSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 3 Flood Risk Mapping From Orbital Remote Sensing -- 3.1. INTRODUCTION -- 3.2. MICROWAVE RADIOMETRY FOR MEASURING RIVER DISCHARGE -- 3.3. PRODUCTION OF SIGNAL/DISCHARGE RATING CURVES -- 3.4. ASSESSING RIVER WATCH ACCURACY -- 3.5. SATELLITE GAUGING SITE SELECTION -- 3.6. FLOOD MAPPING FROM OPTICAL SATELLITES -- 3.7. REMOTE SENSING‐BASED FLOOD HAZARD QUANTIFICATION -- 3.8. CONCLUSION -- REFERENCES -- Chapter 4 Flood Mapping Using Synthetic Aperture Radar Sensors From Local to Global Scales -- 4.1. INTRODUCTION -- 4.2. PRINCIPLES OF SAR: IMPLICATIONS FOR FLOOD MAPPING -- 4.3. COMMON SAR‐BASED FLOOD MAPPING METHODS -- 4.4. IMAGE INTERPRETATION: CHALLENGES AND SOLUTIONS -- 4.5. REPRESENTATION OF UNCERTAINTIES -- 4.6. CASE STUDIES -- 4.7. SUMMARY AND PERSPECTIVES -- ACKNOWLEDGMENTS -- REFERENCES

Much research has suggested that night-time light (NTL) can be used as a proxy for a number of variables, including urbanization, density, and economic growth. As governments around the world either collect census data infrequently or are scaling back the amount of detail collected, alternate sources of population and economic information like NTL are being considered. But, just how close is the statistical relationship between NTL and economic activity at a fine-grained geographical level? This paper uses a combination of correlation analysis and geographically weighted regressions in order to examine if light can function as a proxy for economic activities at a finer level. We use a fine-grained geo-coded residential and industrial full sample micro-data set for Sweden, and match it with both radiance and saturated light emissions. We find that the correlation between NTL and economic activity is strong enough to make it a relatively good proxy for population and establishment density, but the correlation is weaker in relation to wages. In general, we find a stronger relation between light and density values, than with light and total values. We also find a closer connection between radiance light and economic activity, than with saturated light. Further, we find the link between light and economic activity, especially estimated by wages, to be slightly overestimated in large urban areas and underestimated in rural areas.