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Global Drought and Flood


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18.1. REMOTE SENSING FOR DROUGHT AND FLOOD MODELING 18.2. DROUGHT AND FLOOD MODELING 18.3. RISK ANALYSIS AND COLLABORATION 18.4. PERSPECTIVE

      10  Index

      11  End User License Agreement

      List of Tables

      1 Chapter 2Table 2.1 Major inputs data for GET‐D systemTable 2.2 GET‐D system outputs

      2 Chapter 4Table 4.1 Comparison Between MODIS Flood Product and VIIRS Flood Product

      3 Chapter 5Table 5.1 Summary of Antecedent Remote Sensing Products for Surface Water Cha...Table 5.2 Summary of Publicly Available Satellite Imagery Used for the Observ...Table 5.3 Summarized Accuracy Statistics for 13 Flood Events Comparing High‐R...

      4 Chapter 9Table 9.1 Root Mean Square Error (RMSE) and Correlation Coefficient (R) of Mo...

      5 Chapter 10Table 10.1 Characteristics of Global Flood Models Relative to Traditional Loc...Table 10.2 Global Flood Model DetailsTable 10.3 Different Possible Applications of Global Flood Models with Refere...

      6 Chapter 12Table 12.1 Selected DEM Data Available Globally or Near GloballyTable 12.2 Selected Available Global Hydrography Database

      7 Chapter 13Table 13.1 Summary of the Land‐ Cover Data Sets.

      8 Chapter 14Table 14.1 List of risk models considered and their main characteristics

      9 Chapter 15Table 15.1 Specifications of the Satellite GF‐1 and Satellite GF‐2 ImagesTable 15.2 Data Acquisition and Image Quality AssessmentTable 15.3 Classification of Building DamageTable 15.4 Floor Areas of Different Damaged BuildingsTable 15.5 Classification of Road DamageTable 15.6 Classification of Farmland Damage

      10 Chapter 17Table 17.1 A Nonexhaustive List of GFP Flood Products Regularly Updated on th...

      List of Illustrations

      1 Chapter 1Figure 1.1 Rainfall map by NASA’s Tropical Rainfall Measuring Mission (TRMM)...Figure 1.2 Near real‐time 0.04° precipitation information provided by the Gl...Figure 1.3 Near real‐time drought monitoring and prediction system by the Gl...Figure 1.4 Soil moisture observation by NASA’s Soil Moisture Active Passive ...Figure 1.5 Standardized Relative Humidity Index (SRHI) for (a) August 2010, ...Figure 1.6 Three‐month Standardized Precipitation Evapotranspiration Index (...Figure 1.7 Evaporative Stress Index (ESI) derived from observations of land ...Figure 1.8 A below‐normal snowpack observed by the Moderate Resolution Imagi...Figure 1.9 Global map of annual water storage change for the period of 2002–...Figure 1.10 Near real‐time drought monitoring and prediction system by the G...Figure 1.11 Temperature anomalies by the Moderate Resolution Imaging Spectro...

      2 Chapter 2Figure 2.1 (a) A schematic description of the surface‐layer component of the...Figure 2.2 The GOES evapotranspiration and drought product (GET‐D) system de...Figure 2.3 The 2/4/8/12‐week composite of ESI generated from the GET‐D syste...Figure 2.4 The unique characteristics of Rapid Change Index (RCI) values for...Figure 2.5 The procedure for constructing the BDI_b using the RMSEs estimate...Figure 2.6 Monthly BDI_b for the Russian (from 40°N, 20°E to 70°N, 80°E) dom...Figure 2.7 Monthly BDI_b for the southern United States (from 25°N, −115°W t...

      3 Chapter 3Figure 3.1 Time series of Lake Powell elevation variations based on observat...Figure 3.2 (a) Monthly average precipitation and SPI with a 6‐month timescal...Figure 3.3 Storage variations of Lake Powell estimated using radar altimetry...Figure 3.4 Comparison of remotely sensed surface area with observed storage/...Figure 3.5 (a) Monthly average precipitation and SPI with a 6‐month timescal...Figure 3.6 ICESat‐2 ground tracks for: (a) some natural lakes on the Tibetan...

      4 Chapter 4Figure 4.1 Plot of the reflectance of different land types in the Vis to SWI...Figure 4.2 SNPP/VIIRS false‐color images on 17 August (left) and 31 August (...Figure 4.3 Scatter plots of suprasnow/supra‐ice water (black), suprasnow/sup...Figure 4.4 An example of a tree structure derived from the C4.5 algorithm....Figure 4.5 Scatter plots between different combinations of variables for veg...Figure 4.6 Sketch of a geometric model over an ideal plane.Figure 4.7 Sketch of a geometric model over a spherical plane.Figure 4.8 Interdetermination of cloud and cloud shadow using multiple point...Figure 4.9 (a) A VIIRS false‐color image, (b) a VIIRS flood map without clou...Figure 4.10 (a) The RMS height (γ) of terrain shadows and (b) the RMS height...Figure 4.11 (a) The Dmean of terrain shadows and (b) the Dmean of floodwater...Figure 4.12 (a) The Dn of terrain shadows and (b) the Dn of floodwaters.Figure 4.13 (a) A VIIRS false‐color image, (b) a VIIRS flood map without ter...Figure 4.14 Algorithm flow chart of the VNG Flood V1.0.Figure 4.15 The GOES‐16/ABI and the SNPP/VIIRS flood detection maps of the W...Figure 4.16 The GOES‐16/ABI and the SNPP/VIIRS flood detection maps of the W...Figure 4.17 Joint VIIRS/ABI Flood maps from the GOES‐16/ABI and Suomi‐NPP/VI...Figure 4.18 Suomi‐NPP/VIIRS flood map of Bangladesh in southern Asia for 23 ...Figure 4.19 A flood map generated by the United Nations Institute for Traini...Figure 4.20 SNPP/VIIRS ice‐jam flood detection maps around Galena, Alaska: (...Figure 4.21 (a) A SNPP/VIIRS false‐color composite image and (b) a SNPP/VIIR...Figure 4.22 January 2017 floods of California. (a) A MODIS false‐color compo...Figure 4.23 (a) A MODIS 2‐day and 3‐day composite flood map of California on...Figure 4.24 Flood maps from Sentinel‐1 and the VIIRS of the West Gulf region...Figure 4.25 Flood maps and images from Radarsat, Sentinel‐2B, and Suomi‐NPP/...Figure 4.26 (a) A Landsat‐8 OLI false‐color composite image of Texas, on 6 J...Figure 4.27 Three pairs of flood maps for comparison between the SNPP/VIIRS ...Figure 4.28 Scatter plot of supravegetation/suprabare‐soil water detection p...Figure 4.29 Scatter plot of suprasnow/supra‐ice water detection percentage ...

      5 Chapter 5Figure 5.1 The general workflow of (a) MODIS